This document provides guidance on working with map layers and network layers in HYMOS, a hydrological modeling software. It describes how to obtain map layers from digitized topographic maps and remotely sensed data. It also explains how to create network layers by manually adding observation stations or importing them from another database. The document outlines how to manage and set properties for map layers and network layers within HYMOS for tasks like displaying layers, setting visibility and zoom levels.
Perhaps the most important component of a GIS is in the part of data used in GIS. The data for GIS can be derived from various sources. A wide variety of data sources exist for both spatial and attribute data.
This document summarizes a technical seminar on Banian, a cross-platform interactive query system for structured big data. The seminar covered the introduction of big data systems developed by companies like Google, Facebook, and Baidu. It also discussed Banian's system architecture, splitting and scheduling approach, and ability to perform cross-platform queries. The evaluation section showed that Banian's performance was 5-30 times better than Hive and that it has good scalability and compatibility.
Database Structures – Relational, Object Oriented – ER diagram - spatial data models – Raster Data Structures – Raster Data Compression - Vector Data Structures - Raster vs Vector Models TIN and GRID data models - OGC standards - Data Quality.
Precision Farming (PF) is introduced and history in short is reviewed. Essential activities of GPS locating, soil mapping, GIS dataprocessing and presentation and VRT application are described. Basic principles of PF are shown to be:
• Precision Farming is the management process of within-field variability.
• This management must bring profit or at least reduce the risk of loss
• This management must reduce the impact of farming on environment.
Techniques used in Precision Farming are described. Economics of Precision Farming is discussed. A general cost/benefit analysis and profitability of PF are reviewed. The price of PF adoption facing a farmer is discussed. Methods of process analysis and activity based costing are shown as useful instruments for PF process analysis and model building. PF process is analysed and process graph is developed.
Topology refers to the spatial relationships between GIS features or objects. It is important for network routing and maintaining data quality and integrity when features are shared across layers. Geodatabases provide the strongest topological functionality, storing relationships in topology rules and feature classes. The node-arc data model represents the most common topology, with nodes at intersections and endpoints and arcs between nodes forming polygons. Topology allows for analysis without coordinate data but establishing topology is time-consuming.
InfoGrafix is a virtual network of GIS professionals and IT companies led by Peggy Wilson as president. They provide Geographic Information Systems consulting services such as GIS systems planning, implementation, production mapping, and database design. InfoGrafix helps customers utilize GIS technology through planning, design, and implementation of GIS solutions to address project challenges cost effectively.
This document discusses different data formats used in GIS, including raster formats like TIFF and JPEG, and vector formats like shapefiles and geodatabases. It also summarizes methods for converting between data formats, specifically direct translation using software translators, and using neutral formats like SDTS files. Direct translation allows converting data directly between formats within a GIS package, while neutral formats provide an intermediate format for data exchange between different software. Care must be taken in raster-vector and vector-raster conversions as some information may be lost.
Mapping Toolbox provides tools for analyzing, visualizing, and mapping geographic data. It allows users to import vector and raster data formats, customize data through operations like subsetting and trimming, and perform geospatial analyses. The toolbox enables 2D and 3D map displays with imported data and base map layers. It offers functions for digital terrain analysis, geodesy calculations, map projections, and other geographic utilities.
Perhaps the most important component of a GIS is in the part of data used in GIS. The data for GIS can be derived from various sources. A wide variety of data sources exist for both spatial and attribute data.
This document summarizes a technical seminar on Banian, a cross-platform interactive query system for structured big data. The seminar covered the introduction of big data systems developed by companies like Google, Facebook, and Baidu. It also discussed Banian's system architecture, splitting and scheduling approach, and ability to perform cross-platform queries. The evaluation section showed that Banian's performance was 5-30 times better than Hive and that it has good scalability and compatibility.
Database Structures – Relational, Object Oriented – ER diagram - spatial data models – Raster Data Structures – Raster Data Compression - Vector Data Structures - Raster vs Vector Models TIN and GRID data models - OGC standards - Data Quality.
Precision Farming (PF) is introduced and history in short is reviewed. Essential activities of GPS locating, soil mapping, GIS dataprocessing and presentation and VRT application are described. Basic principles of PF are shown to be:
• Precision Farming is the management process of within-field variability.
• This management must bring profit or at least reduce the risk of loss
• This management must reduce the impact of farming on environment.
Techniques used in Precision Farming are described. Economics of Precision Farming is discussed. A general cost/benefit analysis and profitability of PF are reviewed. The price of PF adoption facing a farmer is discussed. Methods of process analysis and activity based costing are shown as useful instruments for PF process analysis and model building. PF process is analysed and process graph is developed.
Topology refers to the spatial relationships between GIS features or objects. It is important for network routing and maintaining data quality and integrity when features are shared across layers. Geodatabases provide the strongest topological functionality, storing relationships in topology rules and feature classes. The node-arc data model represents the most common topology, with nodes at intersections and endpoints and arcs between nodes forming polygons. Topology allows for analysis without coordinate data but establishing topology is time-consuming.
InfoGrafix is a virtual network of GIS professionals and IT companies led by Peggy Wilson as president. They provide Geographic Information Systems consulting services such as GIS systems planning, implementation, production mapping, and database design. InfoGrafix helps customers utilize GIS technology through planning, design, and implementation of GIS solutions to address project challenges cost effectively.
This document discusses different data formats used in GIS, including raster formats like TIFF and JPEG, and vector formats like shapefiles and geodatabases. It also summarizes methods for converting between data formats, specifically direct translation using software translators, and using neutral formats like SDTS files. Direct translation allows converting data directly between formats within a GIS package, while neutral formats provide an intermediate format for data exchange between different software. Care must be taken in raster-vector and vector-raster conversions as some information may be lost.
Mapping Toolbox provides tools for analyzing, visualizing, and mapping geographic data. It allows users to import vector and raster data formats, customize data through operations like subsetting and trimming, and perform geospatial analyses. The toolbox enables 2D and 3D map displays with imported data and base map layers. It offers functions for digital terrain analysis, geodesy calculations, map projections, and other geographic utilities.
This document discusses how Geographic Information Systems (GIS) link graphic and database information to efficiently generate updated maps. A GIS stores map elements like points, lines and polygons separately in a database rather than large graphic files. This allows individual map sheets to be combined into composite maps at varying scales depending on data density. Storing graphic elements as database entries reduces empty space and data storage needs. The document provides an example of using AutoCAD and additional software to implement a GIS that generates maps from a graphic elements database on demand.
1) GIS projects can fail due to poor planning, lack of management support, and poor project management. Key factors include inadequate staffing, funding, and software development processes.
2) A GIS implementation plan is important to reduce mistakes, integrate management of data, computing, staff, and technology. It provides guidelines for an efficient implementation.
3) The GIS planning and implementation process has five phases - planning, requirements analysis, design, acquisition/development, and operations/maintenance. Planning defines the project scope and develops a general plan.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
This document provides an overview of remote sensing and geographical information systems (GIS) in civil engineering. It discusses key concepts like vector and raster data models, data coding, representation of geographic features as points, lines and areas, common vector data structures including topology and dual independent map encoding, and data compression techniques. The course will cover GIS software, spatial queries, analysis functions, and practice generating hydrological modeling inputs like digital elevation models and flow maps from terrain data.
Spot db consistency checking and optimization in spatial databasePratik Udapure
This document discusses optimizing spatial databases. It covers spatial indexes like grids, z-order, octrees, quadtrees, UB-trees, R-trees, and kd-trees that are used to optimize spatial queries by decreasing search time. Spatial queries allow processing data types like geometry and geography and consider spatial relationships between objects. Examples of SQL queries on spatial data and features of spatial databases like spatial measurements and functions are also provided.
THE NATURE AND SOURCE OF GEOGRAPHIC DATANadia Aziz
The document discusses various topics related to geographic data, including data formats, data capture, and data management. It describes the differences between raster and vector data formats and when each is generally used. It outlines methods for primary and secondary geographic data capture, including remote sensing, surveying, scanning, and digitizing. It also covers managing data capture projects, data editing, data conversion between formats, and linking geographic data.
This presentation is about the raster and vector data in GIS which is important and costly as well, through the presentation we will learn about both type of data.
The document discusses different geodatabase formats and their benefits. It explains that geodatabases store geospatial and attribute data together, unlike shapefiles. The main geodatabase types are file geodatabases, personal geodatabases, and ArcSDE geodatabases. Feature datasets are used to define projections, extents and other rules within a geodatabase. Additional functionality includes topology, networks and normalization.
Spatial Data Concepts: Introduction to GIS,
Geographically referenced data, Geographic, projected
and planer coordinate system, Map projections, Plane
coordinate systems, Vector data model, Raster data
model
Data Input and Geometric transformation: Existing
GIS data, Metadata, Conversion of existing data,
Creating new data, Geometric transformation, RMS
error and its interpretation, Resampling of pixel
values.
Attribute data input and data display : Attribute data in
GIS, Relational model, Data entry, Manipulation of
fields and attribute data, cartographic symbolization,
types of maps, typography, map design, map
production
Data exploration: Exploration, attribute data query,
spatial data query, raster data query, geographic
visualization
Vector data analysis: Introduction, buffering, map
overlay, Distance measurement and map manipulation.
Raster data analysis: Data analysis environment, local
operations, neighbourhood operations, zonal
operations, Distance measure operations.
Spatial Interpolation: Elements, Global methods, local
methods, Kriging, Comparisons of different methods
The document discusses the raster data model used in geographic information systems (GIS). It defines raster data as consisting of a matrix of grids made up of rows, columns, and cells that can each store a single value. Common examples of raster data include satellite imagery, digital elevation models, and scanned maps. Raster data has advantages for modeling continuous geographic variation and works well with raster output devices, but has limitations representing discrete features and may lose detail during conversion from vector data. Popular raster file formats include TIFF, JPEG, and GIF.
Data Entry and Preparation Spatial Data Input: Direct spatial data capture, Indirect spatial data captiure, Obtaining spatial data elsewhere Data Quality: Accuracy and Positioning, Positional accuracy, Attribute accuracy, Temporal accuracy, Lineage, Completeness, Logical consistency Data Preparation: Data checks and repairs, Combining data from multiple sources Point Data Transformation: Interpolating discrete data, Interpolating continuous data
Research of Embedded GIS Data Management Strategies for Large CapacityNooria Sukmaningtyas
With the use of data for embedded GIS system continues to increase and the requirement of
application for embedded GIS system continues to improve, the quad-tree index algorithms and block
classification data organization mode that are currently used to handle large amounts of data reflects a
certain limitation. Combining the characteristics of embedded GIS data, the authors put forward the multilevel
data indexing and dynamic data loading, and realize the data loading when required, and enhance
the real-time response speed, solves the limitation on large volume data.
The document discusses data collection and input methods in GIS. It covers obtaining data from primary sources like surveys and secondary sources like existing maps. Methods of inputting data include keyboard entry, manual digitization of maps, scanning, and COGO (coordinate geometry) entry of surveying measurements. Several types of sampling for primary data collection are also outlined like random, systematic, and stratified sampling. Issues with data accuracy and metadata are also addressed.
GIS models reality through abstraction using a mix of raster, vector, and attribute data tailored to specific functions. Topological vector models record shared geometries like points and lines only once, allowing features to be connected and ensuring integrity as changes propagate between related features. Object-oriented models represent real-world phenomena as interconnected objects with their own rules and relationships.
Geographic Information Systems Based Quantity Takeoffs in Buildings ConstructionIDES Editor
Paper presents a Geographic Information System
(GIS) based quantity takeoffs methodology, which is helpful
in increasing the productivity of quantity estimator by reducing
the manual work in quantity takeoffs. Proposed methodology
also reduces the missing or duplication of various items of
work by visualizing each components corresponding to the
items in space. Several scripts developed within ArcView3.2
were used to extract the necessary dimensions from the
drawings and to perform various calculations for quantity
takeoffs. Accurate Bill of Quantities (BOQ) may be generated
on the basis of dimensions of various data themes in GIS.
An introduction to Hadoop for large scale data analysisAbhijit Sharma
This document provides an overview of Hadoop and how it can be used for large scale data analysis. Some key points discussed include:
- Hadoop uses MapReduce, an programming model for processing large datasets in parallel across clusters of computers using a simple programming model.
- It also uses HDFS for reliable storage of very large files across clusters of commodity servers.
- Examples of how Hadoop can be used include distributed logging, search, analytics, and data mining of large datasets.
This document discusses the design of a geographic information system (GIS) software platform integrated with a decision support system (DSS) for use in e-government applications in China. It proposes a new approach that tightly integrates DSS techniques with GIS techniques to provide comprehensive information and decision-making services to governments. The platform uses a uniform database design and data management approach. It is developed using a component-based approach to achieve close integration of GIS and DSS functions. The platform adopts a client-server architecture for applications and a client-server structure for system maintenance.
This document provides guidance on measuring bed load sediment transport. It discusses bed load measurement frequency, techniques, and methods. Regarding frequency, it recommends determining the minimum sampling frequency based on analyses of suspended load observations and bed material sizes. For techniques, it describes direct methods using devices to directly measure bed load rates and indirect methods assessing bed movement. Common bed load and near-bed measuring devices are also outlined. Methods include bed load sampling using samplers and calculating bed load discharge. Spatial and temporal variations in bed load rates are discussed for improving sampling representation. Extensive training is needed due to the complexity of bed load measurements.
Training the Trainers: Faculty Development Meets Information LiteracyElisa Acosta
This document summarizes a workshop for training faculty on information literacy. The workshop covered defining information literacy, barriers to teaching it, strategies for collaboration between librarians and faculty, and a "train the trainer" approach. Activities demonstrated how to incorporate information literacy learning outcomes, design assignments, do curriculum mapping, and assess student work. The goal was to equip faculty to teach information literacy in their courses and address time constraints faced by librarians.
This document provides guidance on data entry and primary validation procedures for hydro-meteorological and surface water quantity and quality data in India. It describes how to enter master data like data types, administrative boundaries, and office units. It also provides instructions for entering static, semi-static and time series data like rainfall, climate, water levels, flows, sediments, and water quality. Primary validation checks on the data are also outlined to ensure data quality before secondary processing.
This document discusses how Geographic Information Systems (GIS) link graphic and database information to efficiently generate updated maps. A GIS stores map elements like points, lines and polygons separately in a database rather than large graphic files. This allows individual map sheets to be combined into composite maps at varying scales depending on data density. Storing graphic elements as database entries reduces empty space and data storage needs. The document provides an example of using AutoCAD and additional software to implement a GIS that generates maps from a graphic elements database on demand.
1) GIS projects can fail due to poor planning, lack of management support, and poor project management. Key factors include inadequate staffing, funding, and software development processes.
2) A GIS implementation plan is important to reduce mistakes, integrate management of data, computing, staff, and technology. It provides guidelines for an efficient implementation.
3) The GIS planning and implementation process has five phases - planning, requirements analysis, design, acquisition/development, and operations/maintenance. Planning defines the project scope and develops a general plan.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
This document provides an overview of remote sensing and geographical information systems (GIS) in civil engineering. It discusses key concepts like vector and raster data models, data coding, representation of geographic features as points, lines and areas, common vector data structures including topology and dual independent map encoding, and data compression techniques. The course will cover GIS software, spatial queries, analysis functions, and practice generating hydrological modeling inputs like digital elevation models and flow maps from terrain data.
Spot db consistency checking and optimization in spatial databasePratik Udapure
This document discusses optimizing spatial databases. It covers spatial indexes like grids, z-order, octrees, quadtrees, UB-trees, R-trees, and kd-trees that are used to optimize spatial queries by decreasing search time. Spatial queries allow processing data types like geometry and geography and consider spatial relationships between objects. Examples of SQL queries on spatial data and features of spatial databases like spatial measurements and functions are also provided.
THE NATURE AND SOURCE OF GEOGRAPHIC DATANadia Aziz
The document discusses various topics related to geographic data, including data formats, data capture, and data management. It describes the differences between raster and vector data formats and when each is generally used. It outlines methods for primary and secondary geographic data capture, including remote sensing, surveying, scanning, and digitizing. It also covers managing data capture projects, data editing, data conversion between formats, and linking geographic data.
This presentation is about the raster and vector data in GIS which is important and costly as well, through the presentation we will learn about both type of data.
The document discusses different geodatabase formats and their benefits. It explains that geodatabases store geospatial and attribute data together, unlike shapefiles. The main geodatabase types are file geodatabases, personal geodatabases, and ArcSDE geodatabases. Feature datasets are used to define projections, extents and other rules within a geodatabase. Additional functionality includes topology, networks and normalization.
Spatial Data Concepts: Introduction to GIS,
Geographically referenced data, Geographic, projected
and planer coordinate system, Map projections, Plane
coordinate systems, Vector data model, Raster data
model
Data Input and Geometric transformation: Existing
GIS data, Metadata, Conversion of existing data,
Creating new data, Geometric transformation, RMS
error and its interpretation, Resampling of pixel
values.
Attribute data input and data display : Attribute data in
GIS, Relational model, Data entry, Manipulation of
fields and attribute data, cartographic symbolization,
types of maps, typography, map design, map
production
Data exploration: Exploration, attribute data query,
spatial data query, raster data query, geographic
visualization
Vector data analysis: Introduction, buffering, map
overlay, Distance measurement and map manipulation.
Raster data analysis: Data analysis environment, local
operations, neighbourhood operations, zonal
operations, Distance measure operations.
Spatial Interpolation: Elements, Global methods, local
methods, Kriging, Comparisons of different methods
The document discusses the raster data model used in geographic information systems (GIS). It defines raster data as consisting of a matrix of grids made up of rows, columns, and cells that can each store a single value. Common examples of raster data include satellite imagery, digital elevation models, and scanned maps. Raster data has advantages for modeling continuous geographic variation and works well with raster output devices, but has limitations representing discrete features and may lose detail during conversion from vector data. Popular raster file formats include TIFF, JPEG, and GIF.
Data Entry and Preparation Spatial Data Input: Direct spatial data capture, Indirect spatial data captiure, Obtaining spatial data elsewhere Data Quality: Accuracy and Positioning, Positional accuracy, Attribute accuracy, Temporal accuracy, Lineage, Completeness, Logical consistency Data Preparation: Data checks and repairs, Combining data from multiple sources Point Data Transformation: Interpolating discrete data, Interpolating continuous data
Research of Embedded GIS Data Management Strategies for Large CapacityNooria Sukmaningtyas
With the use of data for embedded GIS system continues to increase and the requirement of
application for embedded GIS system continues to improve, the quad-tree index algorithms and block
classification data organization mode that are currently used to handle large amounts of data reflects a
certain limitation. Combining the characteristics of embedded GIS data, the authors put forward the multilevel
data indexing and dynamic data loading, and realize the data loading when required, and enhance
the real-time response speed, solves the limitation on large volume data.
The document discusses data collection and input methods in GIS. It covers obtaining data from primary sources like surveys and secondary sources like existing maps. Methods of inputting data include keyboard entry, manual digitization of maps, scanning, and COGO (coordinate geometry) entry of surveying measurements. Several types of sampling for primary data collection are also outlined like random, systematic, and stratified sampling. Issues with data accuracy and metadata are also addressed.
GIS models reality through abstraction using a mix of raster, vector, and attribute data tailored to specific functions. Topological vector models record shared geometries like points and lines only once, allowing features to be connected and ensuring integrity as changes propagate between related features. Object-oriented models represent real-world phenomena as interconnected objects with their own rules and relationships.
Geographic Information Systems Based Quantity Takeoffs in Buildings ConstructionIDES Editor
Paper presents a Geographic Information System
(GIS) based quantity takeoffs methodology, which is helpful
in increasing the productivity of quantity estimator by reducing
the manual work in quantity takeoffs. Proposed methodology
also reduces the missing or duplication of various items of
work by visualizing each components corresponding to the
items in space. Several scripts developed within ArcView3.2
were used to extract the necessary dimensions from the
drawings and to perform various calculations for quantity
takeoffs. Accurate Bill of Quantities (BOQ) may be generated
on the basis of dimensions of various data themes in GIS.
An introduction to Hadoop for large scale data analysisAbhijit Sharma
This document provides an overview of Hadoop and how it can be used for large scale data analysis. Some key points discussed include:
- Hadoop uses MapReduce, an programming model for processing large datasets in parallel across clusters of computers using a simple programming model.
- It also uses HDFS for reliable storage of very large files across clusters of commodity servers.
- Examples of how Hadoop can be used include distributed logging, search, analytics, and data mining of large datasets.
This document discusses the design of a geographic information system (GIS) software platform integrated with a decision support system (DSS) for use in e-government applications in China. It proposes a new approach that tightly integrates DSS techniques with GIS techniques to provide comprehensive information and decision-making services to governments. The platform uses a uniform database design and data management approach. It is developed using a component-based approach to achieve close integration of GIS and DSS functions. The platform adopts a client-server architecture for applications and a client-server structure for system maintenance.
This document provides guidance on measuring bed load sediment transport. It discusses bed load measurement frequency, techniques, and methods. Regarding frequency, it recommends determining the minimum sampling frequency based on analyses of suspended load observations and bed material sizes. For techniques, it describes direct methods using devices to directly measure bed load rates and indirect methods assessing bed movement. Common bed load and near-bed measuring devices are also outlined. Methods include bed load sampling using samplers and calculating bed load discharge. Spatial and temporal variations in bed load rates are discussed for improving sampling representation. Extensive training is needed due to the complexity of bed load measurements.
Training the Trainers: Faculty Development Meets Information LiteracyElisa Acosta
This document summarizes a workshop for training faculty on information literacy. The workshop covered defining information literacy, barriers to teaching it, strategies for collaboration between librarians and faculty, and a "train the trainer" approach. Activities demonstrated how to incorporate information literacy learning outcomes, design assignments, do curriculum mapping, and assess student work. The goal was to equip faculty to teach information literacy in their courses and address time constraints faced by librarians.
This document provides guidance on data entry and primary validation procedures for hydro-meteorological and surface water quantity and quality data in India. It describes how to enter master data like data types, administrative boundaries, and office units. It also provides instructions for entering static, semi-static and time series data like rainfall, climate, water levels, flows, sediments, and water quality. Primary validation checks on the data are also outlined to ensure data quality before secondary processing.
This document provides a summary of training courses conducted in India from 1996-2000 under the Hydrology Project, which was a collaboration between the governments of India and the Netherlands. It lists over 200 training initiatives focused on surface water, groundwater, water quality, and hydro-meteorology. The trainings took place in various states of India as well as for central agencies like Central Water Commission and Central Ground Water Board. Topics included field observations, data processing, advanced chemical equipment, and overseas study tours. The summary aims to capture the breadth of the hydrology training efforts across different states and central organizations during this period.
Show Your Own Gold - Training the Trainers - Barcelonamidsummerstorm
This document outlines the agenda for a training workshop for trainers on a project called "Show your own gold". The workshop will take place over 5 sessions from November 23rd to November 27th. In the sessions, the trainers will:
1. Learn about the project objectives of developing digital biographical narratives with young people.
2. Present their relevant skills and knowledge to contribute to working with youth.
3. Describe the profiles of youth groups and discuss expectations working with them.
4. Practice developing their own digital biographical narratives to transfer skills to youth.
5. Plan learning objectives and activities for workshops with youth using feedback from their narrative presentations.
This document discusses the findings of an inter-laboratory analytical quality control exercise conducted among 25 water testing laboratories in India. The exercise tested the laboratories' ability to accurately analyze 9 water quality parameters in 2 standard samples. Overall, the laboratories performed poorly, with only 47.2% of results falling within the acceptable accuracy ranges. Conductivity, total hardness, sulfate and sodium analyses were most accurate, while fluoride determination showed the lowest accuracy at 32%. Only one laboratory passed analysis of all 9 parameters. The report concludes the laboratories need to improve their analytical facilities, techniques and quality control to enhance the reliability of their water testing results.
This document outlines the key elements and objectives of a training course. It discusses preparing for training by understanding the subject, target group, duration, tools and number of attendees. It describes planning the content, method, introduction, elements to strengthen, and conclusion. The document also covers the role of the trainer in desire, subject knowledge, creating trainee readiness and linking activities. It discusses conventional versus participatory training types and factors that determine trainer credibility like delivery skills. Finally, it presents tips for specific training and evaluation.
Photos - Training of Trainers (ToT) Course in Kuala Lumpur, Malaysia January ...renee_tsea
The Training of Trainers (ToT) on CITES Policies and Identification of Threatened Species (Reptiles) was held from 17 till 20 January 2011 at the Novotel Kuala Lumpur City Centre Hotel, Kuala Lumpur, Malaysia. The four-day workshop was co-organised by the ASEAN Centre for Biodiversity, TRAFFIC Southeast Asia, the ASEAN Wildlife Enforcement Network (WEN), and the Ministry of the Environment-Japan with support from the Ministry of Natural Resources and Environment Malaysia and the Japan ASEAN Integration Fund.
Present at this workshop were a total of 35 participants from all ASEAN Member Countries and observers from two of the ASEAN+3 nations (Japan and China). The workshop’s objectives were to build the capacity of participants from ASEAN countries to deliver training modules on CITES, the wildlife trade, relevant national laws and policies, and the identification of reptile species found in trade in this region.
The document discusses the training of trainers for implementing the ALICE pedagogical innovation approach. It includes:
1) An overview of the training framework which includes 7 units focused on topics like informal learning, digital storytelling, and games.
2) Details of the training activities, which will involve national awareness sessions, local coaching, and a closing session to develop strategies for piloting the approach.
3) Discussion of the importance of evaluation based on learner satisfaction and learning effectiveness to ensure the quality of the training program.
The aims of this manual are:
To provide those interested in doing human rights teaching with a framework for training of trainers in health and human rights
To provide resources which will be of use to the training of trainers and students
To support alumni of our Train-the-Trainer courses, who now number nearly 200 people
To share our eight years of experience in running this course with others so as to begin a dialogue around educational issues in teaching human rights
To build additional teaching capacity in health and human rights.
The School of Public Health and Family Medicine at UCT has offered undergraduate and postgraduate training in human rights since 1995. The Train-the-Trainer course was developed as an offshoot of pilot initiatives at UCT to teach undergraduates, at a time when findings of the Truth and Reconciliation Commission (TRC) identified a need for human rights education for health professionals across the country. Through this manual, this course will continue to fulfil the goal of developing and sustaining a network of individuals who return to their home institutions and professional environments to integrate human rights dialogue and initiatives into their work. Our vision through this manual is to support both our past trainees and other health professionals who wish to integrate human rights into their teaching of students in the health professions. We realised soon after commencing work with undergraduates that the task was too large to tackle on a piecemeal basis or by training limited numbers of students at a time. Rather, it was more appropriate to spread capacity by training trainers and by supporting them with implementation challenges in their own institutions. In this way, we hope that the impact of training will be multiplied as more and more trainees take away what they find valuable for putting human rights into curricula for their students. This means extending from the teaching of undergraduates to include postgraduates, and to the inclusion of human rights in continuing professional development activities. In this way, we believe that human rights training for health professionals will be mainstreamed and meet the critical needs identified in developing this manual.
In the context of supporting civil society organisations working in the field of the democratic transition in Tunisia, Democracy Reporting International, in partnership with inProgress, produced a practical guide covering the techniques and training of adults. Members of civil society organisations are often requested to give trainings, provide knowledge, or strengthen competencies in various fields. These fields include, among others, civics, electoral observation, and legal reforms, including those linked to the setting up of a new Tunisian Constitution.
Teaching others new aptitudes, methods, or procedures requires that the trainer to be aware of different parameters in order to ensure the best learning methodology. Identifying learning needs beforehand, determining the training objective, or managing the audience are some of the essential elements that must be taken into account.
Therefore, this guide emphasizes the elements on which learning efficacy and teaching competencies depend. It enables trainers to use learning principles intended for adults and to acquire a guiding pedagogy and interactive methods in line with active communication principles, while creating a positive environment to optimise the learning process.
Collaborating with inProgress, DRI has provided this practical guide to accompany the trainers through all the steps of the training process, from conception to setting up and follow-up of trainings.
This manual has been developed on the basis of three Training of Trainers courses, which were conducted in Tunis, Tunisia between October 2013 and January 2014.
The document provides an agenda for a 3-day training of trainers course, outlining objectives, sessions, and activities to teach participants about training design, delivery, and improvement. Key topics include learning styles, training needs assessment, learning theories, training methods, handling difficult participants, and demonstrations. The goal is for participants to learn how to design and deliver effective training courses and develop action plans to strengthen their skills as trainers.
This presentation looks at the work of the TT-Plus project which is seeking to develop a Framework for the Continuing Professional Development of Trainers. It will be released later as a Slidecast.
Abdull Rahman Taishouri – Curriculum Vitae
Supervisor, Trainer, Author, Researcher
Personal Details
Name: Abdull Rahman Taishoori, Address: Tartous – Syria, e-mail: alrahmanabd@gmail.com, Cell Phone: +963932575464 / Fixed Line: +96343352298 / +96343357847.
Date and Place of Birth: Tartous, 27/09/1965.
Nationality: Syrian.
Civil Status: Married to Mrs. Fahida Mustafa.
Visa Status: national passport valid till 2016.
Education
- December, 2007: MPA - Masters of Public Administration, INA-NIPA Damascus.
- December, 2004: Preparatory Diploma of Finance, Law, and Business Administration.
- December, 2003: Masters degree of International Economic Relations, Tishreen
University, Latakia-Syria.
This document provides guidance on training principles and best practices for cooperative education committees. Some key points:
- Cooperative education focuses on adult learners, uses participatory and dialogical approaches, and aims to empower members and drive positive change.
- Effective education committees conduct regular meetings, develop training materials, and program a variety of capability-building activities.
- Good facilitation and handling group dynamics are important for successful training. Techniques include identifying various participant "animal types" and addressing their behaviors.
- Recruitment of new members is a key responsibility, and committees should plan recruitment targets and activities to ensure sustainability.
Module 1: Key Competencies of Effective TrainersCardet1
This document discusses the key competencies of effective trainers in designing and delivering training programs. There are two main areas of competencies - designing training and delivering training. For designing training, competencies include understanding adult learning theories, instructional design models, conducting needs assessments, designing curriculum, developing instructional materials, integrating technology, and evaluating designs. For delivering training, competencies involve preparing for and familiarizing with learners, setting clear objectives, establishing a conducive learning environment, using diverse delivery techniques, providing feedback, engaging and motivating learners, demonstrating appropriate conduct, and evaluating outcomes.
The document provides information about an upcoming two-day training course on train the trainers in Danang, Vietnam. The training will consist of an introduction to train the trainers and a train the trainers simulation. It discusses key aspects of designing effective trainings such as understanding your audience, creating objectives, and principles of adult learning. Details are provided on how to structure content, facilitate different group dynamics, use visual aids effectively and present confidently. The document emphasizes the importance of thoroughly understanding who you are training and tailoring your approach accordingly.
by Katharine Vincent and Tracy Cull, of Kulima Integrated Development Solutions.
Created for a CCAFS Training of Trainers (ToT) on gender, climate change, agriculture, and food security in New Delhi, India, 25-26 November 2011.
Sweet oranges diseases A Lecture on ToT By Allah Dad KhanMr.Allah Dad Khan
This document discusses several diseases that affect sweet orange trees, including Tristeza, Citrus Scab, Citrus Canker, Anthracnose, Citrus greening, Phytophthora gummosis, Citrus Chlorotic dwarf virus, and Pseudocercospora Fruit and Leaf Spot. Citrus Canker is a serious bacterial disease that reduces fruit growth and causes leaves to drop and fruit to fall prematurely. Citrus greening causes mottling and yellowing across leaf veins and can kill trees if not reported. Phytophthora gummosis commonly causes dark exudate from tree bark and can stunt or kill trees.
The training manual provides guidance for a 10-day Training of Trainers (ToT) program with the objectives of building the capacity of participants to develop, organize, and facilitate training courses for Dhaka Mass Transit Company Ltd. The ToT covers topics such as training needs assessment, adult learning principles, communication skills, training methods, and evaluation techniques through participatory learning methods. The manual includes detailed lesson plans, materials, and schedules to equip participants with the skills and knowledge to become trainers for DMTCL.
This document provides guidelines for creating geographic information system (GIS) datasets under a hydrology project in India. It discusses the types of spatial data to be created (points, lines, polygons), the themes to be mapped (land use, soils, geology, etc.), and the methodology for generating the datasets from satellite imagery and existing maps. Standardizing the data collection process across multiple vendors is emphasized. The goal is to integrate the spatial data into surface water and groundwater databases to improve understanding of water resources.
This document provides guidelines for creating geographic information system (GIS) datasets under a hydrology project in India. It describes the types of spatial data to be created (points, lines, polygons), the themes (land use, soils, geology, etc.), and the methodology for generating the data. Standardized processes are outlined for procuring data services, database organization, attribute coding, and delivering final data products. The goal is to create consistent GIS datasets across states and scales to support analysis of surface water and groundwater resources.
A Big-Data Process Consigned Geographically by Employing Mapreduce Frame WorkIRJET Journal
This document discusses frameworks for processing big data that is distributed across geographic locations. It begins by introducing the challenges of geo-distributed big data processing and then describes several MapReduce-based frameworks like G-Hadoop and G-MR that can process pre-located geo-distributed data. It also covers Spark-based systems like Iridium and frameworks that partition data across geographic locations, such as KOALA grid-based systems. The document analyzes key aspects of geo-distributed big data processing systems like data distribution, task scheduling, and fault tolerance.
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
This document provides an overview of a GIS training on exploring spatial data. It describes the key components of ArcGIS including ArcMap for viewing and editing data, ArcCatalog for data management, and ArcToolbox for geoprocessing tools. It also outlines the different data formats like shapefiles that can be used and exported in GIS. The training covers understanding the ArcGIS interface, working with raster and vector data, and demonstrations of ArcMap, ArcCatalog, and exporting data to shapefiles.
Hadoop Mapreduce Performance Enhancement Using In-Node Combinersijcsit
This document summarizes a research paper that proposes using in-node combiners to improve the performance of Hadoop MapReduce jobs. It discusses how MapReduce jobs are I/O intensive and describes two common bottlenecks: during the map phase when data is loaded from disks, and during the shuffle phase when intermediate results are transferred over the network. The paper introduces an in-node combiner approach to optimize I/O by locally aggregating intermediate results within nodes to reduce network traffic between mappers and reducers. It evaluates this approach through an experiment counting word occurrences in Twitter messages.
The document discusses the key components of a geographic information system (GIS). It describes the main components as hardware, software, data, people, procedures, and networks. It provides details on each component, including how hardware is used to capture, store and display spatial data; common GIS software and their functions; different types of spatial and attribute data; and how procedures and methods ensure quality. Topological relationships and database models used in GIS are also overviewed.
This document provides an overview of MapReduce and Apache Hadoop. It discusses the history and components of Hadoop, including HDFS and MapReduce. It then walks through an example MapReduce job, the WordCount algorithm, to illustrate how MapReduce works. The WordCount example counts the frequency of words in documents by having mappers emit <word, 1> pairs and reducers sum the counts for each word.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 2: Data Management and Processing System
TYBSC IT PGIS Unit II Chapter I Data Management and Processing SystemsArti Parab Academics
This document discusses geographic information systems (GIS). It defines GIS as hardware and software used to process, store, and transfer geographic data. It describes how GIS has evolved from using analog data and manual processing to increased use of digital data, computers, and software. It also discusses key GIS concepts like spatial data capture and analysis, data storage and management, and data presentation.
This document discusses new tools for visualizing and sharing marine geophysical data. It describes how the DELPH software uses standard GIS formats and viewers to remove bottlenecks in converting proprietary geophysical data formats. DELPH allows for side-scan sonar data, magnetometer data, and sub-bottom data to be acquired, processed, interpreted and exported to formats like KMZ and geoTIFF to facilitate sharing the data in applications like Google Earth. These new capabilities provide digital deliverables and improve data visualization, integration and dissemination.
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This document provides an overview of geoprocessing, which allows users to define, manage, and analyze spatial information to support decision making. It discusses how geoprocessing works in ArcGIS through tools, models, scripts, and toolboxes. Specific geoprocessing tasks like overlay, proximity, surfaces, and statistics are examined. The document also covers data sources, running tools, and settings. It provides examples of creating a model and script to automate repetitive geoprocessing work.
This document provides instructions for using S Flood Global, a tool that converts 2D flood maps created in Sobek into KML files for Google Earth and Google Maps. It describes how to install S Flood Global, convert a Sobek flood map into a KML file, create a Google Map from coordinate data, and notes on coordinate conversions. It also lists training courses offered on hydrologic and hydraulic modeling software, as well as other free applications developed by the provider.
This document provides an introduction to Geographic Information Systems (GIS). It outlines 12 topics: (1) what GIS is and its components; (2) spatial and attribute data; (3) major GIS tasks and functions; (4) where GIS data comes from; (5) benefits of using GIS; (6) why GIS is studied; (7) geographic models in ArcGIS; (8) the steps in a GIS project; (9) basic ArcMap components; (10) the ArcGIS software window and platforms; (11) the ArcCatalog interface; and (12) a practical exercise on implementing ArcGIS and performing tasks like importing data, digitizing features, and map layout
Similar to Download-manuals-gis-how toworkwithmaplayersandnetworklayers (20)
The World Bank conducted a final supervision mission in May 2014 to review a water resources project in Chhattisgarh, India. The project aimed to strengthen water resource management institutions and expand hydrological monitoring networks. Over 90% of allocated funds had been spent as of March 2014, with additional expenditures expected through May 2014. Key achievements included upgrading data centers, installing rain and groundwater monitoring equipment, conducting trainings, and publishing water resources data. The project improved availability of hydrological data for use in planning irrigation projects, infrastructure design, and other development activities in Chhattisgarh.
The document summarizes the Hydrology Project-II being implemented in Punjab, India. Key points:
- The Rs. 46.65 crore project aims to improve water resource data collection and management. Around 80% of the work and funding has been used.
- Networks to monitor groundwater, surface water, and rainfall have been installed across 700, 25, and 81 stations respectively. Digital equipment transmits data in real time.
- Three data centers have been constructed to store and analyze water data. A state data center in Mohali will house various water resource offices and laboratories.
- Observed hydrological data will be shared with state agencies, CGWB, and other users to inform water
The document provides an overview of the World Bank Monitoring Mission for the Hydrology Project Phase II in India from May 06-09, 2014. It summarizes the key achievements and post-project plans for each of the implementing agencies. The agencies include 13 state organizations and 8 central agencies. The objectives of HP-II were to extend and promote the sustained use of hydrological information systems to improve water resources planning and management. The estimated cost was Rs. 631.83 crore with funding from the World Bank. Several agencies had completed construction of data centers, monitoring equipment installations, and pilot studies. Plans after the project included continuing maintenance and operations, staff training, and further developing applications.
This document summarizes the progress and completion of the Odisha Hydrology Project-II. The key points are:
1) The project had a total revised cost of Rs. 13.46 crore and ran from April 2006 to May 2014 to strengthen surface water data collection and decision support systems in Odisha.
2) Financial progress shows that Rs. 891.04 crore was spent out of the total revised cost of Rs. 1346 crore. Major components included installing a real-time data acquisition system and developing decision support systems for drought monitoring and conjunctive surface and groundwater use.
3) Key achievements were establishing the concept for a real-time data acquisition system,
The document summarizes a review meeting for the Hydrology Project Phase II in Madhya Pradesh, India. The project involves establishing surface water and groundwater monitoring stations. For surface water, 24 river gauge stations and 52 meteorological stations were set up across three river basins. For groundwater, 3750 observation wells and 625 piezometer wells were established. The project period was from 2004-2014 with a total cost of Rs. 24.67 crores. Major achievements included upgrading monitoring stations, establishing new stations, and developing decision support systems for reservoir management and groundwater planning. Lessons learned and plans for continuing activities after the project are also discussed.
The document provides information on the financial targets and achievements of a hydrological project in India. It summarizes that as of March 2014, expenditure was Rs. 304.959 crores out of the revised target of Rs. 399.808 crores. It also describes various components of the project including institutional strengthening activities conducted, the development of decision support systems and real-time data systems for river basins, and studies carried out on optimizing monitoring networks and evaluating the impacts of water allocation changes. Lessons learned included the need for stronger central-state linkages and continued consultant support to meet project goals.
The document summarizes two hydrology projects in Kerala, India from 1996-2004 and 2006-2014. It provides financial details and physical progress updates on the projects, including building construction, staff hiring, equipment procurement, and the establishment of data dissemination and decision support systems. Key accomplishments include the development of applications to study conjunctive use, artificial recharge, reservoir operation, and more. Lessons learned include the benefits of integrated surface and groundwater management and adopting techniques from other agencies.
The document summarizes the Hydrology Project-II implemented in Goa between 2006-2014 with funding from the World Bank. The key aspects include:
- Establishment of 11 river gauge stations, 4 automatic weather stations, and 6 automatic rain gauge stations to improve surface water and hydro-meteorological data collection.
- Installation of 47 open wells and 57 piezometers to monitor groundwater levels across 9 river basins in Goa.
- Construction of a new data center and level II+ laboratory to store, analyze and disseminate hydrological data to support water resource management and planning.
- Capacity building initiatives including training of over 200 local staff on hydrological monitoring and data management.
This document provides expenditure details and progress updates for the Phase II (2006-2014) implementation of the Narmada, Water Resources, Water Supply and Kalpsar Department in Gujarat, India. It outlines spending on civil works, goods, consultancy, and trainings. It also describes the physical progress made in consolidating hydrological data, raising awareness, implementing decision support systems, and conducting purpose-driven studies. Proposals are made for continuing certain activities in potential Phase III of the project.
Central Water and Power Research Station (CWPRS) in Pune saw several advancements under the World Bank's Hydrology Project II (HP-II) including:
1) Technical trainings for over 100 CWPRS officers in areas like water resources planning, climate change impacts, and more.
2) Infrastructure upgrades including a Supervisory Control and Data Acquisition system, laboratory equipment, and renovated buildings.
3) Research activities such as optimizing stream gauge networks in Maharashtra's Bhima river basin and hydrographic surveys of the Tawa reservoir.
4) Over Rs. 4 crore was spent on civil works, equipment, trainings and other costs aligned with the goals of
The document summarizes the major activities and achievements of the Central Pollution Control Board's Hydrology Project-II regarding water quality monitoring. Some of the key points include:
- Installation of 10 real-time water quality monitoring stations on the Ganga and Yamuna rivers
- Development of a GIS-based water quality web portal to visualize historical and current water quality data
- Organization of 30 training workshops on water quality monitoring that reached over 750 laboratory staff
- Renovation of the CPCB water laboratory and development of water quality criteria and standards
The project aims to continue activities like annual maintenance of monitoring stations and the web portal, as well as propose new initiatives for the next phase including nationwide water pollution
The document describes BBMB's Real Time Decision Support System (RTDSS) project. The objectives are to incorporate advanced data acquisition and communication systems to help with operational management of Bhakra and Beas reservoirs. The system collects telemetry data from over 80 stations, including rainfall, water levels, snow levels. It also downloads satellite data and forecasts. The data is analyzed using hydrological and hydrodynamic models to forecast reservoir inflows and water levels to help with flood control and water distribution.
The World Bank conducted a final supervision and completion mission for the Hydrology Project in Andhra Pradesh from May 7-8, 2014. The project aimed to strengthen surface water data collection networks and build institutional capacity for hydrological data management and use. Key achievements included establishing 25 additional data collection stations, procuring IT equipment, developing a project website, and providing training. Expenditures totaled Rs. 4.13 crore against the revised project cost of Rs. 8.92 crore. Moving forward, the document discusses continuing project activities in Andhra Pradesh and potential areas of focus for a phase III of the Hydrology Project.
This document provides a summary of the financial progress and achievements of the Gujarat - Ground Water hydrology project. Some key points:
- Total projected cost is 176.32 crore INR, of which 169.11 crore (96%) has been spent as of March 2014.
- Major activities include upgrading the piezometer network, procuring equipment like DWLRs, GIS data, and training programs.
- Key outcomes are improved groundwater data availability and monitoring networks, as well as awareness raising and decision support systems.
- Lessons learned include the importance of data quality control, coordination, and training to improve groundwater management.
This document outlines surface water monitoring procedures and maintenance norms for various types of stations and laboratories in India. It provides maintenance cost estimates for:
1. Standard and Autographic Rain Gauge stations, including costs for civil works, consumables, and staffing. The estimated annual cost is Rs. 5,750 for SRG stations and Rs. 8,200 for ARG stations.
2. Full Climate stations, including costs for civil works, equipment maintenance, consumables, and staffing. The estimated annual cost is Rs. 56,000.
3. GD (Gauge Discharge) stations of various types, including wading, bridge/cableway, and boat outfit stations. Annual maintenance costs are
The document describes methods for hydrological observations including rainfall, water level, discharge, and inspection of observation stations. It contains sections on ordinary and recording rainfall observation, ordinary and recording water level observation, observation of discharge using current meters and floats, and inspection of rainfall and water level observation stations. The document was produced by the Ministry of Construction in Japan.
This document provides guidance on how to review monitoring networks. It begins with an introduction on the objectives and physical characteristics that networks are based on. It then discusses the types of networks, including basic, secondary, dedicated, and representative networks. The document outlines the steps in network design, which include assessing data needs, setting objectives, determining required network density, reviewing the existing network, and conducting a cost-effectiveness analysis. Specific guidance is provided on reviewing rainfall and hydrometric networks.
This document provides information and instructions for conducting correlation and spectral analysis. It includes definitions of autocovariance, autocorrelation, cross-covariance, and cross-correlation functions. It also defines variance spectrum and spectral density functions. The document provides examples of applying these analytical techniques to time series data, including monthly rainfall and daily water level data. It demonstrates how these techniques can be used to identify periodicities and correlations in hydrological time series data.
This document provides guidance on statistical analysis of rainfall and discharge data. It discusses graphical representation of data including histograms, line diagrams, and cumulative frequency diagrams. It also covers measures of central tendency, dispersion, skewness, kurtosis and percentiles. The document emphasizes that hydrological time series must meet stationarity conditions to be suitable for statistical analysis and discusses evaluating and accounting for trends and periodic components when analyzing rainfall and discharge data.
This document provides operational details for groundwater data processing and analysis in India. It outlines the monitoring networks for water levels, quality, and hydro-meteorology. It describes the geological structures, soil types, typical groundwater issues, and the organizational setup of the responsible groundwater agency. The agency collects various dynamic data through monitoring networks to estimate groundwater resources and inform management recommendations in an annual groundwater yearbook.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
1. World Bank & Government of The Netherlands funded
Training module # SWDP - 47
How to work with map
layers and network layers
New Delhi, February 2002
CSMRS Building, 4th Floor, Olof Palme Marg, Hauz Khas,
New Delhi – 11 00 16 India
Tel: 68 61 681 / 84 Fax: (+ 91 11) 68 61 685
E-Mail: hydrologyproject@vsnl.com
DHV Consultants BV & DELFT HYDRAULICS
with
HALCROW, TAHAL, CES, ORG & JPS
2. HP Training Module File: “ 47 How to work with map layers and network layers.doc ” Version Feb. 02 Page 1
Table of contents
Page
1. Module context 2
2. Module profile 3
3. Session plan 4
4. Overhead/flipchart master 5
5. Handout 6
6. Additional handout 8
7. Main text 9
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1. Module context
While designing a training course, the relationship between this module and the others,
would be maintained by keeping them close together in the syllabus and place them in a
logical sequence. The actual selection of the topics and the depth of training would, of
course, depend on the training needs of the participants, i.e. their knowledge level and skills
performance upon the start of the course.
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2. Module profile
Title : How to work with map layers and network layers
Target group : HIS function(s): ……
Duration : x session of y min
Objectives : After the training the participants will be able to:
Key concepts : •
Training methods : Lecture, exercises
Training tools
required
: Board, flipchart
Handouts : As provided in this module
Further reading
and references
:
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3. Session plan
No Activities Time Tools
1 Preparations
2 Introduction: min OHS x
Exercise min
Wrap up min
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4. Overhead/flipchart master
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5. Handout
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Add copy of the main text in chapter 7, for all participants
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6. Additional handout
These handouts are distributed during delivery and contain test questions, answers to
questions, special worksheets, optional information, and other matters you would not like to
be seen in the regular handouts.
It is a good practice to pre-punch these additional handouts, so the participants can easily
insert them in the main handout folder.
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7. Main text
Contents
1 Map layers and Network layers 1
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How to work with map layers and network layers
1 Map layers and Network layers
1.1 What are map and network layers in HYMOS
HYMOS provides for a graphical user interface, component called NETTER, in the form of
maps showing various topographic features. Various features like rivers, canal, lakes,
reservoirs, observation stations, elevation contours, roads and other
transport/communication lines, cities, districts/province and other administrative boundaries
etc. are normally of interest to the hydrologists while working for hydrological data
processing. Information on all these topographical features is required in digital form for
making use in various software systems. This digital information is produced in various forms
as vector or raster by various digitising procedures in different formats. Such information is
generally used in any typical Geographical Information System (GIS) for purpose of
reference and analysis.
In NETTER, the observation stations are depicted by nodes of the monitoring network and
are combinedly taken as a network layer. A distinction is made between the map
information on the location of observation stations (to be associated with the database) and
that on all other map features. Locations of observation stations are considered as nodes
and lot of data for the same is maintained in the associated databases. These location and
other attributes of these observation stations (called as nodes in NETTER) are kept in
separate file called “HYMOS.NTW”. The important attributes of the observation stations
being kept in the network layers are the latitude, longitude and the type of the station (i.e. the
node type). These network layers are created for a database by either adding observation
stations one-by-one or by importing stations from a transfer database.
The map layers, in HYMOS, on the other hand are those features which are required to be
used for the purpose of reference. Such layers are though not strictly related with the data in
the database but may sometimes be used during certain hydrological computation. The
basic building blocks of any network or map layer are the geometric entities as point(s),
line(s) and polygon(s). Any line or polygon feature also, in fact, is a composition of several
points only. And that any map layer is a collection of blocks of the required point(s), line(s)
and/or polygon(s). Usually, point, line or polygon type of features are kept in separate layers
with due distinction but may also be combined in certain cases is so required. Similarly, one
or more topographical features as river, lakes, spot levels, elevation contours etc. can be in
separate or combined files as per the requirement of the user. Also, for a certain feature like
river, the information can be organised for individual rivers separately or in combined form as
per the requirement.
1.2 How to obtain map layers
Map layers are obtainable from various types and sources of information like topographical
maps and remotely sensed data in digital form etc. Any topographic feature can be
considered as comprised of point(s), line(s) or polygon(s). From the base topographic maps
such information is to be digitised using a digitiser. The digitising operation can be
accelerated by scanning the topographic maps and then digitising directly on the computer
screen, in a semi-automatic manner, on the basis of scanned image.
While digitising any information from the topographic maps, certain aspects like the scale of
the base map (which affect the accuracy), map projection system and format of the digital
output required etc. must be taken into account. There are standard software, like Didger,
specifically for digitising the information from a paper map and from scanned images on
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computer screen directly. Also, most of the standard GIS software like ARC-INFO, ILWIS
etc. come with such digitising components. It is also necessary and possible to check on the
consistency of the digitised information using certain tools embedded in the digitising
software. Various formats used by different digitisation software are:
• *.BNA (Atlas GIS, but also PC-Arc/Info can export this format)
• *.MIF (Map Info Format)
• *.MOS (MOSS format, a grid based GIS)
• *.SHP (Universal Shape Format)
Under HP the desired information is tried to be prepared State-wise by digitising
topographical themes from 1:50,000 scale toposheets of Survey of India. Some of the
additional themes like soil type, land use and geology would be prepared from information
available on 1:250,000 scale with related agencies like National Bureau of Soil Survey &
Land Use (NBSSLU), Nagpur and Geological Survey of India (GSI), Calcutta.
Since the above process of digitisation by the agencies will take considerable time, it is
planned that for the time being readily available digitised information on 1:1000,000 from
other sources like Digital Chart of the World (DCW) is used. Such information has been
distributed to all the users in the form of a CD containing digital data on themes like rivers,
lakes, canals, contours, spot heights, roads, country, cities, villages, etc. on 1:1000,000
scale for around the globe. Users can obtain information on any of these themes from this
CD for any desired area.
For extracting information from “DCW” CD, a software called “DCW-Clipper” which is
available on the same CD, is to be installed. This Installation provides two components: (a)
DCW-Mapper and (b) DCW-Clipper. First, DCW-Mapper software is to be run which brings
the map of the globe as shown in Figure 7.1. User can then zoom-in to any portion of
interest on the map and use the option of “Clip” to input data for extracting desired map
information as shown in Figure 7.2. The digital map information can be extracted in any of
the formats like “Atlas*GIS (*.BNA), MapInFo (*.MIF), Mapper (*.MPL) and ArcView Shape
(*.SHP).
The extracted information is thus exported at the user specified location.
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Figure 1.1: DCW-Mapper screen showing map of the World for defining area of
interest to be clipped
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Figure 1.2:
DCW-Clipper screen
showing input box
for selection of
layers to be clipped
Though NETTER can work with any of the formats mentioned above, a conversion program
called “MAPLINK” is also provided. This program helps converting digital map layer
information in one format to another. In fact, this program was necessary with previous
versions of NETTER which use to accept map layers in “*.MPL” format only. For converting
information in one format to another the MAPLINK program is used as shown in Figure 7.3.
User has to specify the path at which the files to be converted are located together with the
input and output file types. After the desired input is given, conversion is done by the
program and user obtains information in the desired format.
Figure 1.3:
MAPLINK program
for conversion of GIS
layers from one
format into another
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1.3 How to make network layers
Network layer comprise of observation stations of different types. Any number of types of
observation stations can be defined in the system. Some of the pre-defined types of stations
are:
• water level
• discharge
• groundwater
• water quality
• meteorological
• rainfall
• structure
• spatial average etc.
In HYMOS, the observation stations are depicted by nodes of the monitoring network and
are combinedly taken as a network layer.
In NETTER, a distinction is made between the map information on the location of
observation stations (to be associated with the database) and that on all other map features.
Locations of observation stations are considered as nodes and lot of data for the same is
maintained in the associated databases. These location and other attributes of these
observation stations (called as nodes in NETTER) are kept in separate file called Network
layer. The important attributes of the observation stations being kept in the network layers
are the latitude, longitude and the type of the station (i.e. the node type). These network
layers are created for a database by either adding observation stations one-by-one or by
importing stations from a SWDES transfer database.
Observation stations (network nodes) can be manually added in HYMOS using “Edit
Network option” of Netter. Various options like “Add”, “Move”, “Delete”, “Node Type”,
“Rename” and “Properties” are available as editing options (see Figure 7.4).
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Figure 1.4: Editing option for management of network nodes.
By using “Add” option an observation station can be created on the map. User is to give
details on the station code and name and the station has to be located by the mouse pointer.
Similarly, the created station can be moved elsewhere, if required, by choosing the option of
“Move” or can be deleted by the “Delete” option. The station type is the category of the
station which it belongs to and can be edited by using “Node Type” option. In case the name
of a station is to be edited then “Rename” option can be used. The option on “Properties” is
used for relocating the station by numerically changing the co-ordinates. The station
automatically takes the new position as per the changes made. Normally, the “station codes”
are displayed adjacent to the location of the station but in case it is needed to display
“station names” or not to display anything then suitable changes can be made using
“options” from the main menu and “options …” from the list of sub-menus. In this manner the
network nodes can be created and maintained.
In case the network is to be established by directly importing the stations from the SWDES
transfer database, the procedure is very simple. From SWDES the required stations are
exported using the “Export to HYMOS” option and then the transfer database thus created is
imported in HYMOS database. As soon as the import is over all the stations are created
together with the associated characteristics.
1.4 How to work with map layers
Once the map layers are available they can be copied in the “Maps” directory in a particular
database. Though these layers can be accessed from anywhere without placing them in a
particular directory but it is always better for the sake of convenience that they are available
in the folder of the concerned database itself. Maps layers are managed using the sub-
option of “Map Options” under “Options” item on the menu bar of Netter program. Upon
selecting this “Map Options” item, an input box as shown in Figure 7.5 appears on the
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screen. There are few entities on this input box through which the display and use of any
map layer can be effected.
Figure 1.5: Input dialog box for management of map layers.
First of all, there is a list box in the left-hand side showing all those map layers which are
registered with a particular database. There is a button on the top for locating and opening
up any new map layer. Few more buttons are available for deleting, advancing or retreating
any map layer. Further, there are some more options for setting the properties of any layer.
Using the option of “Properties” any map layer can be made visible or selectable or if it is to
be reflected in the legend. The colour and thickness of the lines or the colour of the fill of a
polygon or the size and type of the points can all be settable from this “Properties” option. A
very useful option is to set the minimum and maximum zoom range for any map layer so that
the layer ceases to show up when the scale of the map becomes less than or more than the
specified limits respectively by zooming out or zooming in. The minimum limit is very useful
for avoiding display of certain details which otherwise may make the map cluttered.
Secondly, provision is available for setting the properties for the point items on the map by
using “Lable” option. Settings like name and identification of the point and location of the
label, its size, fonts etc.. Also, the option on “Coordinates” shows the areal extent of the map
layer towards the four sides.
Most of the map layers are used for the purpose of reference by displaying on the screen. It
may also be possible to look at the properties of these layers such as length of the river,
area or perimeter of a catchment, value of the contour provided that the same is available in
the database. However, few layers such as the catchment boundaries are also used for
calculation of areal estimates of rainfall etc.
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1.5 How to work with network layers
Network layers are basically the nodes and their inter-connections denoting observation
stations and hydrological links as river or channel reaches. After the network is established
as mentioned in previous section, these nodes can be used for selection of stations and
thereupon processing the data available at any of the selected stations. Selection of stations
can be made in two ways: (a) by individually selecting stations by clicking with mouse
(multiple stations by keeping the SHIFT key pressed) or (b) by selecting all the stations
within a map item like a basin or sub-basin. For the later case it is required to choose the
option of “Select by map item” under the “Select” option in the menu bar of Netter.