This document outlines the process of creating a custom digital map server. It discusses digital mapping, OpenStreetMap, building an OSM tile server, and features of the custom map server like high zoom levels, search, and measurement tools. The document was created by Parveen Arora for their 6-week digital mapping training program at Guru Nanak Dev Engineering College under the guidance of Dr. H.S Rai.
Digital cartography involves the generation, storage, and editing of maps using computers. It has advantages over analog cartography like easier storage, updating, and access to data. Data is collected through remote sensing, aerial photography, scanning, and digitizing. GPS is also used. Digital databases store spatial and non-spatial data. Analysis and representation of data is facilitated using GIS tools. Digital cartography has made mapping accessible to non-specialists.
Digital maps store geographic data in a database that can be updated, reclassified, and analyzed in a GIS. Vector maps represent discrete real-world objects like buildings as points and lines defined by coordinates, while raster maps divide space into a grid of cells with attribute values. Both data structures have strengths for different types of spatial data and analysis needs. Most GIS systems now support using both vector and raster maps together.
Radiometric corrections include correcting the data for sensor irregularities and unwanted sensor or atmospheric noise, and converting the data so they accurately represent the reflected or emitted radiation measured by the sensor.
This document discusses how geographic features are represented in GIS data structures. Spatial data represents the location of features, while attribute data describes characteristics. Features can be represented using vector or raster data models. Vector models store location data as x,y coordinates and connect them to form lines and polygons. Raster models divide space into a grid of cells and store a single value for each cell. Relational databases are commonly used to organize spatial and attribute data for GIS analysis and mapping.
A Geographic Information System (GIS) is a computer system for capturing, storing, analyzing and managing data and associated attributes which are spatially referenced to Earth. GIS integrates common database operations with tools for visualizing and analyzing geographic data. Key components of a GIS include hardware, software, data, people and methods. GIS draws upon techniques from fields such as cartography, remote sensing, photogrammetry, surveying and statistics. Spatial data in GIS can be represented using vector or raster data models. Vector models represent geographic features as points, lines and polygons while raster models divide space into a grid of cells. GIS performs functions such as inputting data, map making, data manipulation, file management, querying
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
1. Aplikasi sistem informasi geografis (GIS) dapat membantu penataan ruang dengan mengumpulkan dan menganalisis data spasial secara akurat.
2. GIS digunakan untuk menunjang pengambilan keputusan dalam proses perencanaan dan pelaksanaan penataan ruang.
3. Kapasitas SDM perlu ditingkatkan untuk memanfaatkan GIS secara optimal dalam penataan ruang.
Chap1 introduction to geographic information system (gis)Mweemba Hachita
GIS is a tool that allows for the storage, manipulation, retrieval, analysis and display of spatially referenced data. It differs from automated cartography and CAD in that it adds analytical capabilities. A LIS is a type of GIS focused on land information systems at a large scale. The main components of a GIS are people, data (spatial and aspatial), hardware, and software. The internet has greatly impacted GIS by facilitating data sharing, online discussions, and access to web-based GIS applications.
Digital cartography involves the generation, storage, and editing of maps using computers. It has advantages over analog cartography like easier storage, updating, and access to data. Data is collected through remote sensing, aerial photography, scanning, and digitizing. GPS is also used. Digital databases store spatial and non-spatial data. Analysis and representation of data is facilitated using GIS tools. Digital cartography has made mapping accessible to non-specialists.
Digital maps store geographic data in a database that can be updated, reclassified, and analyzed in a GIS. Vector maps represent discrete real-world objects like buildings as points and lines defined by coordinates, while raster maps divide space into a grid of cells with attribute values. Both data structures have strengths for different types of spatial data and analysis needs. Most GIS systems now support using both vector and raster maps together.
Radiometric corrections include correcting the data for sensor irregularities and unwanted sensor or atmospheric noise, and converting the data so they accurately represent the reflected or emitted radiation measured by the sensor.
This document discusses how geographic features are represented in GIS data structures. Spatial data represents the location of features, while attribute data describes characteristics. Features can be represented using vector or raster data models. Vector models store location data as x,y coordinates and connect them to form lines and polygons. Raster models divide space into a grid of cells and store a single value for each cell. Relational databases are commonly used to organize spatial and attribute data for GIS analysis and mapping.
A Geographic Information System (GIS) is a computer system for capturing, storing, analyzing and managing data and associated attributes which are spatially referenced to Earth. GIS integrates common database operations with tools for visualizing and analyzing geographic data. Key components of a GIS include hardware, software, data, people and methods. GIS draws upon techniques from fields such as cartography, remote sensing, photogrammetry, surveying and statistics. Spatial data in GIS can be represented using vector or raster data models. Vector models represent geographic features as points, lines and polygons while raster models divide space into a grid of cells. GIS performs functions such as inputting data, map making, data manipulation, file management, querying
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
1. Aplikasi sistem informasi geografis (GIS) dapat membantu penataan ruang dengan mengumpulkan dan menganalisis data spasial secara akurat.
2. GIS digunakan untuk menunjang pengambilan keputusan dalam proses perencanaan dan pelaksanaan penataan ruang.
3. Kapasitas SDM perlu ditingkatkan untuk memanfaatkan GIS secara optimal dalam penataan ruang.
Chap1 introduction to geographic information system (gis)Mweemba Hachita
GIS is a tool that allows for the storage, manipulation, retrieval, analysis and display of spatially referenced data. It differs from automated cartography and CAD in that it adds analytical capabilities. A LIS is a type of GIS focused on land information systems at a large scale. The main components of a GIS are people, data (spatial and aspatial), hardware, and software. The internet has greatly impacted GIS by facilitating data sharing, online discussions, and access to web-based GIS applications.
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, manage, analyze and display spatially-referenced information. Key components of a GIS include hardware, software, data, methods, and personnel. GIS allows users to analyze spatial relationships, patterns and trends and answer "what if" questions. Common data types in GIS are spatial data, which represents geographic features and their attributes. Vector and raster are two main data structures, with different strengths for various uses. Geoprocessing tools allow manipulation of spatial data through operations like buffers, overlays and analysis.
This presentation provides an overview of Land Information Systems (LIS). It discusses that a LIS is a digital system that contains both spatial and non-spatial land data. It then reviews the background of LIS in Western countries and how they differ from Nepal's system. The presentation outlines the key concepts of LIS including its methodology, current problems, and future planning. It aims to introduce LIS and provide context around its use and development in Nepal.
TYBSC IT PGIS Unit I Chapter I- Introduction to Geographic Information SystemsArti Parab Academics
A Gentle Introduction to GIS The nature of GIS: Some fundamental observations, Defining GIS, GISystems, GIScience and GIApplications, Spatial data and Geoinformation. The real world and representations of it: Models and modelling, Maps, Databases, Spatial databases and spatial analysis
A GIS is a type of information system that uses geographical data to produce useful information for decision making. It is a computer system combining software, hardware, data, and personnel to manipulate, analyze, and present spatial data and information. A key part of a GIS is the person exploring the data to gain insights. The system captures data from various sources, organizes it, and allows the user to perform spatial analysis to create maps, models, and statistics.
This document discusses land administration and the role of GIS. It describes how land administration involves recording ownership and other attributes of land. GIS helps with land administration by providing digital maps and data for tasks like land registration, valuation for taxation, planning, and dispute resolution. The document also presents a case study of a GIS-based land information system developed for rural areas in India, which digitized paper maps, integrated satellite imagery, and allowed for more accurate planning and management of land use.
DEM generation, Image Matching in Aerial Photogrammetry.pptxIndraSubedi7
Digital photogrammetry uses digital images to extract geospatial data and generate digital elevation models (DEMs). A digital photogrammetric workstation processes images using techniques like orientation, aerial triangulation, and bundle block adjustment. DEM generation involves image matching to find corresponding points between stereo image pairs. Area-based matching uses cross-correlation while least squares matching considers geometric transformations. Feature-based matching extracts distinct points and matches their locations. Parameters like matching technique and search window influence results. Constraints like image pyramids and epipolar geometry aid the matching process.
Remote sensing and GIS can be applied in civil engineering for spatial analysis and to answer geographic queries. Spatial analysis examines how the locations of objects impact analysis results and can reveal patterns. GIS uses methods like overlay, proximity, density, and network analysis to study spatial relationships. Common analyses include measuring distances, areas and shapes, transforming datasets, descriptive summaries of data, and optimizing locations.
Spatial Data Infrastructure (SDI) aims to provide access to harmonized geographic data through distributed information systems. Key components of an SDI include organizational governance, spatial data and metadata, geospatial services, technical infrastructure, and standards to ensure interoperability. Open standards like those from ISO and OGC provide interfaces and data models to allow disparate systems and data sources to work together efficiently for semantic and technical interoperability. Ensuring data quality and developing terminology to describe accuracy is also important for effective use of data in an SDI.
This document discusses key concepts related to data in GIS systems. It describes the different types of spatial and attribute data as well as vector and raster data formats. It explains how data is organized into layers and how those layers can be queried and overlaid to integrate information from different sources and analyze spatial patterns in the data.
Pan sharpening is a process that merges high-resolution panchromatic imagery with lower-resolution multispectral imagery to create a single high-resolution color image. It provides the best of both types of imagery - high spectral resolution and high spatial resolution. There are several common pan sharpening methods including Brovey, IHS, Esri, simple mean, and Gram-Schmidt transformations. Landsat 8 imagery for example consists of bands with 30m resolution except for the panchromatic band which has 15m resolution, and pan sharpening can be applied in GIS software like ArcGIS to improve the resolution of the multispectral bands.
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.
Understanding Coordinate Systems and Projections for ArcGISJohn Schaeffer
Everything you need to know to work with coordinate systems and projecting data in ArcGIS. The presentation starts by explaining the terminology, and then discusses the details you need to know to actually work successfully with coordinate systems, use the proper projections, and geographic transformations. This is a very practical look at a complex subject.
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
Remote sensing began with aerial photography in the 1800s. It involves collecting data about the Earth's surface from a distance using electromagnetic sensors. Vertical aerial photographs are important for remote sensing as they have minimal distortion and can be used to take measurements. Photogrammetry allows calculating scale and measurements from aerial photos using factors like focal length and aircraft height. Stereopairs of aerial photos enable measuring terrain height differences through parallax, similar to how human binocular vision perceives depth.
Topics:
1. Mapping Concepts
2. Analysis with paper based Maps
3. Limitations of Paper based Maps
4. Computer Aided Cartography History and Development
5. GIS Definition
6. Advantage of Digital Maps
This document provides an overview of cartography and mapmaking. It discusses the cartographic process, which involves collecting and organizing data, designing maps, and reproducing maps. It also describes the uses and functions of maps, different map types and symbols, various map projections, and technological changes in the field. The document outlines advantages and limitations of maps and concludes that cartography involves the theory and practice of mapmaking to effectively communicate spatial information.
Mobile GIS allows field workers to capture and edit geographic data on mobile devices. It integrates GPS, mobile devices, and wireless communications to access GIS data from the field. The main benefits are improved field efficiency and data accuracy. ESRI provides several mobile GIS apps, including ArcPad for data collection, and apps for Windows, iOS, and Android devices that can access maps and perform analysis in the field. Mobile GIS systems connect mobile devices running GIS software via wireless networks to central GIS servers to share and sync field data.
This document discusses tilted aerial photographs. It begins by defining tilted photographs as those where the camera axis is slightly angled from vertical when capturing the image, usually by less than 3 degrees. It then introduces exterior orientation parameters (EOPs) that define the spatial position and angular orientation of each photograph. Two systems for defining angular orientation are described: tilt-swing-azimuth and omega-phi-kappa. Perspective projection and how it relates 3D objects to their 2D image is also overviewed. The remainder of the document discusses how to calculate scale on tilted photographs based on factors like tilt, swing, height, and elevation.
Digital image classification is the process of sorting pixels into categories based on their spectral values. There are supervised and unsupervised classification methods. Supervised classification involves using training sites of known categories to define statistical signatures for each class. Unsupervised classification groups pixels into clusters without prior class definitions. Validation is needed to assess classification accuracy by comparing results to ground truth data. Factors like training site selection and signature separability impact classification performance.
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, manage, analyze and display spatially-referenced information. Key components of a GIS include hardware, software, data, methods, and personnel. GIS allows users to analyze spatial relationships, patterns and trends and answer "what if" questions. Common data types in GIS are spatial data, which represents geographic features and their attributes. Vector and raster are two main data structures, with different strengths for various uses. Geoprocessing tools allow manipulation of spatial data through operations like buffers, overlays and analysis.
This presentation provides an overview of Land Information Systems (LIS). It discusses that a LIS is a digital system that contains both spatial and non-spatial land data. It then reviews the background of LIS in Western countries and how they differ from Nepal's system. The presentation outlines the key concepts of LIS including its methodology, current problems, and future planning. It aims to introduce LIS and provide context around its use and development in Nepal.
TYBSC IT PGIS Unit I Chapter I- Introduction to Geographic Information SystemsArti Parab Academics
A Gentle Introduction to GIS The nature of GIS: Some fundamental observations, Defining GIS, GISystems, GIScience and GIApplications, Spatial data and Geoinformation. The real world and representations of it: Models and modelling, Maps, Databases, Spatial databases and spatial analysis
A GIS is a type of information system that uses geographical data to produce useful information for decision making. It is a computer system combining software, hardware, data, and personnel to manipulate, analyze, and present spatial data and information. A key part of a GIS is the person exploring the data to gain insights. The system captures data from various sources, organizes it, and allows the user to perform spatial analysis to create maps, models, and statistics.
This document discusses land administration and the role of GIS. It describes how land administration involves recording ownership and other attributes of land. GIS helps with land administration by providing digital maps and data for tasks like land registration, valuation for taxation, planning, and dispute resolution. The document also presents a case study of a GIS-based land information system developed for rural areas in India, which digitized paper maps, integrated satellite imagery, and allowed for more accurate planning and management of land use.
DEM generation, Image Matching in Aerial Photogrammetry.pptxIndraSubedi7
Digital photogrammetry uses digital images to extract geospatial data and generate digital elevation models (DEMs). A digital photogrammetric workstation processes images using techniques like orientation, aerial triangulation, and bundle block adjustment. DEM generation involves image matching to find corresponding points between stereo image pairs. Area-based matching uses cross-correlation while least squares matching considers geometric transformations. Feature-based matching extracts distinct points and matches their locations. Parameters like matching technique and search window influence results. Constraints like image pyramids and epipolar geometry aid the matching process.
Remote sensing and GIS can be applied in civil engineering for spatial analysis and to answer geographic queries. Spatial analysis examines how the locations of objects impact analysis results and can reveal patterns. GIS uses methods like overlay, proximity, density, and network analysis to study spatial relationships. Common analyses include measuring distances, areas and shapes, transforming datasets, descriptive summaries of data, and optimizing locations.
Spatial Data Infrastructure (SDI) aims to provide access to harmonized geographic data through distributed information systems. Key components of an SDI include organizational governance, spatial data and metadata, geospatial services, technical infrastructure, and standards to ensure interoperability. Open standards like those from ISO and OGC provide interfaces and data models to allow disparate systems and data sources to work together efficiently for semantic and technical interoperability. Ensuring data quality and developing terminology to describe accuracy is also important for effective use of data in an SDI.
This document discusses key concepts related to data in GIS systems. It describes the different types of spatial and attribute data as well as vector and raster data formats. It explains how data is organized into layers and how those layers can be queried and overlaid to integrate information from different sources and analyze spatial patterns in the data.
Pan sharpening is a process that merges high-resolution panchromatic imagery with lower-resolution multispectral imagery to create a single high-resolution color image. It provides the best of both types of imagery - high spectral resolution and high spatial resolution. There are several common pan sharpening methods including Brovey, IHS, Esri, simple mean, and Gram-Schmidt transformations. Landsat 8 imagery for example consists of bands with 30m resolution except for the panchromatic band which has 15m resolution, and pan sharpening can be applied in GIS software like ArcGIS to improve the resolution of the multispectral bands.
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.
Understanding Coordinate Systems and Projections for ArcGISJohn Schaeffer
Everything you need to know to work with coordinate systems and projecting data in ArcGIS. The presentation starts by explaining the terminology, and then discusses the details you need to know to actually work successfully with coordinate systems, use the proper projections, and geographic transformations. This is a very practical look at a complex subject.
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
Remote sensing began with aerial photography in the 1800s. It involves collecting data about the Earth's surface from a distance using electromagnetic sensors. Vertical aerial photographs are important for remote sensing as they have minimal distortion and can be used to take measurements. Photogrammetry allows calculating scale and measurements from aerial photos using factors like focal length and aircraft height. Stereopairs of aerial photos enable measuring terrain height differences through parallax, similar to how human binocular vision perceives depth.
Topics:
1. Mapping Concepts
2. Analysis with paper based Maps
3. Limitations of Paper based Maps
4. Computer Aided Cartography History and Development
5. GIS Definition
6. Advantage of Digital Maps
This document provides an overview of cartography and mapmaking. It discusses the cartographic process, which involves collecting and organizing data, designing maps, and reproducing maps. It also describes the uses and functions of maps, different map types and symbols, various map projections, and technological changes in the field. The document outlines advantages and limitations of maps and concludes that cartography involves the theory and practice of mapmaking to effectively communicate spatial information.
Mobile GIS allows field workers to capture and edit geographic data on mobile devices. It integrates GPS, mobile devices, and wireless communications to access GIS data from the field. The main benefits are improved field efficiency and data accuracy. ESRI provides several mobile GIS apps, including ArcPad for data collection, and apps for Windows, iOS, and Android devices that can access maps and perform analysis in the field. Mobile GIS systems connect mobile devices running GIS software via wireless networks to central GIS servers to share and sync field data.
This document discusses tilted aerial photographs. It begins by defining tilted photographs as those where the camera axis is slightly angled from vertical when capturing the image, usually by less than 3 degrees. It then introduces exterior orientation parameters (EOPs) that define the spatial position and angular orientation of each photograph. Two systems for defining angular orientation are described: tilt-swing-azimuth and omega-phi-kappa. Perspective projection and how it relates 3D objects to their 2D image is also overviewed. The remainder of the document discusses how to calculate scale on tilted photographs based on factors like tilt, swing, height, and elevation.
Digital image classification is the process of sorting pixels into categories based on their spectral values. There are supervised and unsupervised classification methods. Supervised classification involves using training sites of known categories to define statistical signatures for each class. Unsupervised classification groups pixels into clusters without prior class definitions. Validation is needed to assess classification accuracy by comparing results to ground truth data. Factors like training site selection and signature separability impact classification performance.
This document provides documentation for MapServer version 5.4.2. It includes sections on an introduction to MapServer, installing MapServer on Unix and Windows systems, a MapServer tutorial, and details on Mapfile configuration including layers, styles, symbols and other elements. The document aims to help users get started with MapServer and configure map projects.
This document provides an overview and introduction to free and open source tools by H.S. Rai. It summarizes Rai's background and experience working with open source software since 1997. It also describes some commonly used open source GIS tools like OpenStreetMap, QGIS, GRASS, and SAGA and how they can be used for tasks like mapping, spatial analysis, and automation of geospatial work flows. Rai hopes to continue the discussion in Part II of the presentation.
Digital cartography and natural disaster managementGCUF
The document discusses the use of Geographic Information Systems (GIS) in disaster management. It explains that GIS allows users to create interactive maps to analyze spatial data and present results. GIS can be used to create hazard maps, locate critical facilities, and help people in disasters. It is useful for planning, mitigation, preparedness, response, and recovery efforts by mapping high-risk areas, emergency locations, infrastructure damage, and more. GIS data helps assess needs before, during, and after disasters.
This document provides information about tacheometry, which is a method of surveying that determines horizontal and vertical distances from instrumental observations. It discusses how tacheometry can be used when obstacles make traditional surveying difficult. The key aspects covered include:
- Defining tacheometry and the measurements it provides
- When tacheometry is advantageous over other surveying methods
- The instruments used, including tacheometers and levelling rods
- How horizontal and vertical distances are calculated using constants
- The different types of tacheometer diaphragms and telescopes
- The fixed hair method for taking readings
Geographers use various tools like globes, maps, and technology to study and represent the Earth. Globes provide a whole spherical view but are not portable, while maps can be scaled and transported but become distorted when flattened. Geographers also employ remote sensing techniques involving satellites and aerial photography as well as geographic information systems to collect, store, and analyze spatial data about the Earth's physical and human features.
Presentació realitzada a l'ICC (27/09/2013) en el marc de la conferència magistral, a càrrec del Prof. Georg Gartner, president de l'Associació Cartogràfica Internacional (ICA/ACI)
MeraMap is a software package that allows users to easily deploy a customized OpenStreetMap tile server. It automatically installs all required components and allows users to generate map tiles for a specified area through a web interface. The software aims to make it simple for individuals, organizations, and communities to set up and run their own OSM tile server to meet their mapping needs. It provides advantages like customizing OSM data and hosting one's own map services. The document outlines the development of MeraMap through Google Summer of Code and its goals of attracting more mappers and enriching OSM data.
The document provides an overview of the HandSimDroid project. It includes an agenda for a meeting covering the project overview, process, requirements, risk management, system architecture, next steps, and accomplishments. The team used the Team Software Process and developed requirements, risk management plans, architectural diagrams, and plans to move forward with additional training, prototyping, and formalizing the project scope. They discussed accomplishments from the first part of the project and took questions.
This document summarizes a project to create an avatar-based virtual map of Lamar University. The project aims to provide an interactive 3D navigation experience for users to explore the campus. It describes the implementation, which included converting physical buildings into 3D virtual buildings. Testing was conducted to refine the experience. Future work is planned to add 360 VR compatibility and GPS tracking to make the virtual campus more realistic.
FYP1 Presentation - Development of interactive turn-by-turn navigation in Kul...Muhammad Fareez Iqmal
My presentation slide for final year project in 2022/2023 session.
International Islamic University Malaysia (IIUM).
Mechatronics Department
More info:
https://github.com/KOE-Wayfind
Syam Sunder is an Assistant Manager with over 5 years of experience in sales, marketing, and training for GPS and GIS technologies. He has expertise in surveying, digital image processing, GIS software including ArcGIS, and programming in Java. Sunder holds a B.Tech in computer science and has technical skills in databases, web development, and computer-aided design. He is seeking a position that allows him to continue learning and applying his knowledge and experience.
The document provides a summary of Shwetambari Gulhane's qualifications and experience. She has over 10 years of experience in software development and IT services. Her technical skills include languages like Java, C#, .NET and tools like ArcGIS Desktop. She has a Master's in Computer Science from USC and is currently working as a Programming Support Analyst at Esri, where she develops custom GIS applications. Previously she has worked on projects related to banking, networking and GIS.
This document discusses various engineering software used for modeling, drafting, design, and analysis in civil engineering. It describes software for 2D and 3D CAD like AutoCAD, SketchUp, Revit, and Maya. It also covers analysis software like SAP 2000, STAAD Pro, and ETABS for designing and analyzing structures. Additionally, it mentions software tools for specialized tasks such as GIS for maps, SW-Road for road design, MATLAB for graphs and calculations, and MS Project and Oracle for project management and cost estimation.
Protecting from transient failures in cloud microsoft azure deploymentswww.pixelsolutionbd.com
This document presents a talk on protecting from transient failures in Microsoft Azure cloud deployments. It discusses using the AURA tool to deploy applications to the Azure cloud and detect and recover from transient failures. The talk outlines Azure services including virtual machines, storage, networking, databases, analytics, machine learning and more. It then discusses using AURA's deployment graph and executors to monitor deployments. The talk presents strategies for retrying failed deployments, including various backoff approaches, and selecting exponential backoff to optimize recovery from transient failures.
Getting Started with the ArcGIS API for JavaScript, Esri, Julie Powell, Antoo...Esri Nederland
The document summarizes a presentation on getting started with the ArcGIS API for JavaScript. It discusses using the API to build interactive maps, accessing basemaps from ArcGIS Online, executing tasks, and finding addresses. It also covers best practices for maximizing performance, building expressive applications, and using HTML5 capabilities. The presentation outlines the ArcGIS JavaScript roadmap and upcoming features.
The document discusses creating software to represent graphs from adjacency matrices. It introduces adjacency matrices and how they are used to represent finite graphs. The objectives are to identify connectivity between vertex pairs from the input matrix and create a graphical representation. The software was developed in C# using Visual Studio. Future plans include expanding it to support weighted and directed graphs.
This document summarizes a GIS project to create an online mapping and data portal for Pitkin County. It outlines the project goals of providing easy-to-use GIS data and mapping tools, the timeline and vendor selection process, preparation of maps and data, development of site functions using Geocortex software, and outreach efforts. It concludes with an analysis of the project benefits, including time savings, improved data access, and leveraging of technology, and proposes next steps such as developing department-specific sites and new mapping capabilities.
The document describes the GIS system for Sabah Al Salem University City. It includes 3 key components:
1) Infrastructure to support the system including servers, databases, software and workstations.
2) Applications such as 3D visualization, asset management, facilities management and vehicle tracking.
3) Users including construction, planning, facilities management and others.
The system provides an integrated geospatial platform to support campus planning, design, operations and maintenance.
Study of solution development methodology for small size projects.Joon ho Park
Medium-size system integration or IT Solution Company’s solution development project has limitation as like human resource limitation, budget limitation and expert limitation. Especially it is hard to maintain many IT experts for medium-size and small-size system integration or IT Solution Company. Thus in order to efficiently and beneficially complete projects, medium-size and small-size system integration or IT Solution Company should have appropriate solution development methodology.Solution development projects for medium-size and small-size system integration or IT Solution Company are usually shot-term and small budget so that they need slim and light-weight solution development methodology. But usual medium-size and small-size system integration or IT Solution Company do not have their own appropriate solution development methodology. Thus, if those kinds of solution development methodologies are applied to solution development projects for medium-size and small-size system integration or IT solution company without some modifications, shortage of human resources, incompleteness of solution and deliverables could arouse.Especially unnecessary paper works (deliverables and documentations) to both of projects teams and client’s wastes project resources and time. We analyze previous solution development methodologies and derive mandatory deliverables and optional deliverables. Before deriving them, we newly define procedures and tasks for each project stages which are necessary to projects team and clients, from client and expert of interviews. Our proposed solution development methodology can easily leverage the development overhead of short-term projects. Optional deliverables can be omitted by the contraction between project team and client.
This document is a resume for Jia Liu summarizing her education, skills, experience, and projects. She received a Master's degree in Mechanical Engineering from Carnegie Mellon University and a Bachelor's degree in Energy & Environment Systems Engineering from Zhejiang University. Her skills include programming in C++, Java, OpenGL, and Python. She has worked as a Software Engineer at Bellus3D developing Android apps and demos. Previously she was a Research Assistant at CMU where she helped create a database to classify human hand motions. Her projects include developing graphics demos, a Twitter analytics web service, and a 3D shooting game.
This document discusses making webGIS more usable for organizational users rather than just GIS specialists. It argues that webGIS applications should be tailored to specific work processes rather than offering general GIS tools. This allows non-technical users to complete their regular tasks through the webGIS interface without training. The document also describes how organizations can manage multiple purpose-built webGIS applications through a centralized system that connects various technologies, databases, and security protocols to serve different user groups.
The document outlines the agenda and progress of the HandSimDroid project team which includes Justin Killian, Peter Foldes, Anar Huseynov, and Ishwinder Singh. The team is using Scrum to develop a proof of concept Android application for Bosch that will allow running Ptolemy simulations on a handheld device. The document discusses the project overview, operations, planning, requirements elicitation, risks, proposed architecture, and reflections on the first semester.
Tarun Kumar Singh is seeking a position as a software professional with experience in GIS engineering. He has over one year of experience working on live projects for companies including Shakti Consulting and Aditya Engineering. His responsibilities included analyzing HT and LT networks, mapping and digitization projects using ArcGIS. He holds a B.Tech in ME from UP Technical University and diplomas in AutoCAD and Pro-E.
This document provides an overview of enterprise GIS system architecture design. It discusses the system design process, GIS technology, data administration, network communications, and Esri architecture. Key aspects of system performance including software, hardware, and virtualization are also covered. The document concludes with an example of using Esri's Capacity Planning Tool to help with system design.
This document provides instructions for connecting to a remote GNU/Linux server for a laboratory session. It lists the server name as code.gdy.club, the user ID as the student's roll number, the password which can be obtained from the Applied Science Department office, and the port as 22. It describes using the Mosh software to connect via typing "mosh username@servername" in the terminal. It outlines accepting the host key when first connecting and entering the password when prompted.
The document discusses open source and free software tools. It provides biographies of key figures in the open source movement like Richard Stallman and Mark Shuttleworth. It also summarizes the Open Source Definition and compares it to the Free Software Definition, noting they have different focuses - open source prioritizes individual interests while free software emphasizes social interests and copyleft licensing.
Lecture delivered World Habitat Day, celebrated by Institute of Engineers (India), Ludhiana Local chapter, at Guru Nanak Dev Engineering College, Ludhiana, Punjab, India
QCAD is 2D computer-aided drafting software that can be used to create technical drawings for engineering projects like building plans, mechanical parts, and more. It supports common CAD features like layers, blocks, various drawing entities, and exporting to formats like DXF and PDF. QCAD has a multi-document interface and offers over 200 undo/redo levels. It is available for Windows, Mac, and Linux and is open source, making it a free and full-featured alternative to paid CAD software like AutoCAD.
QCad is a 2D CAD software package available for Linux, Mac OS X, Unix, and Windows. It uses the AutoCAD DXF file format and has features like layer support, blocks, dimensions, and the ability to import and export many file formats. QCad is developed by RibbonSoft and has a community edition released under the GPL and a professional edition with additional functionality available.
TurboCAD is a 2D and 3D CAD software application originally developed in South Africa in 1986. It runs on Windows and Mac operating systems. Over time, TurboCAD added support for additional hardware, expanded to international markets through localized versions, and transitioned from 2D drafting to include 3D modeling capabilities. It is currently on version 16 and remains a popular CAD software option.
CADopia is a presentation by Achintya Mohnish, a civil engineering student with roll number 100082. The presentation introduces CADopia, which is a software for computer-aided design. CADopia allows engineers to design structures digitally in 3D with precision and accuracy.
Felix CAD is a 2D CAD software created by Gräbert that allows users to open, edit, and save drawings in common file formats like DWG, DXF, and its own FLX format. It aims to provide professional CAD capabilities at an affordable price. Key features include the ability to work with billions of existing CAD files, compatibility with AutoCAD standards, and hundreds of drawing and editing tools. The software is optimized for use with Windows operating systems and supports simultaneous editing of multiple drawings. It also offers tutorials, command references, and cutting and pasting between drawings and other Windows programs like Microsoft Office.
The document discusses challenges facing urban planning and development, including rapid population growth, resource depletion, and climate change effects. It notes that over half the world's population lives in urban areas, with slums housing over 1 billion people. Successful urban planning requires adequate housing, infrastructure, and services for all residents, as well as meaningful community involvement. The document advocates for sustainable solutions and equal distribution of resources to address these global urban issues.
Presentation on "Overview of Internet Technologies and
Web 2.0" on 2nd of Feb 2009 during STC on INTERNET (2nd of Feb.2009 to 06th of Feb 2009) at NATIONAL INSTITUTE OF TECHNICAL TEACHERS’ TRAINING AND RESEARCH CHANDIGARH
The document summarizes the author's experiences during the first 10 years of his career as a structural engineer from 1958-1968. It describes some of the major projects he worked on, including buildings for IIT Delhi, medical colleges, and factories. It highlights two learning experiences from early in his career - making an error in design calculations that was caught by a site engineer, and receiving guidance from his boss on properly designing brick structures. The boss handled the error calmly and taught the author through demonstrating designs. Overall it provides insights into the author's first decade in the field.
This document provides information about mapping in India. It includes details on the sizes of India, Punjab state, Ludhiana district, and Ludhiana city. It notes that major contributors to mapping are limited to four. Issues mentioned include the need to generate requirements and job opportunities as current satellite imagery has poor resolution. Suggestions include adding maps to cards and allowing addition of custom data and units.
The document discusses establishing the Structural Engineers Association of Punjab and Chandigarh (SEAPAC). SEAPAC would serve as a common platform and necessity for structural engineers in the region by defining serviceability, design loads, available materials, and structural systems. The objective of SEAPAC would be to cater to the overall professional needs of structural engineers in Punjab and Chandigarh through activities like continuing education programs.
Welcome of Structural Engineers by Dr. H.S.Rai, Prof. and Head Civil Engineering Department, Guru Nanak Dev Engineering College, Ludhiana (Pb) 141006 India
The document summarizes key points from a seminar on innovations in information technology and applications. It discusses the difference between invention and innovation, with invention being new concepts or products from ideas or research, and innovation being the commercialization and marketization of inventions. It also outlines some principles of innovation, roles of education in IT, examples of programming languages and standards, and advantages of open source software.
QCAD is a 2D CAD software used for technical drawings like building plans, mechanical parts, and diagrams. It is developed by RibbonSoft and available for Windows, Mac, and Linux. Key features include layers, blocks, fonts, units, importing/exporting DXF files, printing to scale, construction and modification tools. There are professional versions available for different platforms that can be purchased individually or with a site license.
This document provides an overview of QCad, an open-source 2D CAD software. It discusses that QCad can be used to create technical drawings and works across multiple operating systems. The document also outlines QCad's history, starting in 1999, features such as layers and blocks, system requirements, licenses, and examples of companies that use QCad.
1. What?
Why?
How?
Working Map Server
Features
Digital Mapping
6 Weeks training
Parveen Arora
Dept. of Information Technology
Guide: Dr.H.S Rai
August 27, 2010
Guru Nanak Dev Engineering College Digital Mapping
2. What?
Why?
How?
Working Map Server
Features
Outline
1 What?
Guru Nanak Dev Engineering College Digital Mapping
3. What?
Why?
How?
Working Map Server
Features
Outline
1 What?
2 Why?
Guru Nanak Dev Engineering College Digital Mapping
4. What?
Why?
How?
Working Map Server
Features
Outline
1 What?
2 Why?
3 How?
Guru Nanak Dev Engineering College Digital Mapping
5. What?
Why?
How?
Working Map Server
Features
Outline
1 What?
2 Why?
3 How?
4 Working Map Server
Guru Nanak Dev Engineering College Digital Mapping
6. What?
Why?
How?
Working Map Server
Features
Outline
1 What?
2 Why?
3 How?
4 Working Map Server
5 Features
Guru Nanak Dev Engineering College Digital Mapping
7. What?
Why?
How?
Working Map Server
Features
What?
Digital Mapping
Digital Mapping is the process by which a collection of data
is compiled and formatted into a virtual image. The primary
function of this technology is to produce maps that give
accurate representations of a particular area, detailing major
road arteries and other points of interest. The technology
also allows the calculation of distances from once place to
another.
Guru Nanak Dev Engineering College Digital Mapping
8. What?
Why?
How?
Working Map Server
Features
What?
Some applications of the system are:
GPS Navigation Systems
Forecasting and Warning
GPS Navigation Systems
Computer Applications
Guru Nanak Dev Engineering College Digital Mapping
9. What?
Why?
How?
Working Map Server
Features
What?
Some applications of the system are:
GPS Navigation Systems
Forecasting and Warning
GPS Navigation Systems
Computer Applications
Making accurate, effective and cost beautiful Maps
Guru Nanak Dev Engineering College Digital Mapping
10. What?
Why?
How?
Working Map Server
Features
Why?
OpenStreet Map
The OpenStreetMap Foundation is international non-profit
organisation supporting but not controlling the project.
Guru Nanak Dev Engineering College Digital Mapping
11. What?
Why?
How?
Working Map Server
Features
Why?
OpenStreet Map
The OpenStreetMap Foundation is international non-profit
organisation supporting but not controlling the project.
OpenStreetMap is a free editable map of the whole world. It
is made by people like you.
Guru Nanak Dev Engineering College Digital Mapping
12. What?
Why?
How?
Working Map Server
Features
Why?
OpenStreet Map
The OpenStreetMap Foundation is international non-profit
organisation supporting but not controlling the project.
OpenStreetMap is a free editable map of the whole world. It
is made by people like you.
OpenStreetMap allows you to view, edit and use
geographical data in a collaborative way from anywhere on
Earth
Guru Nanak Dev Engineering College Digital Mapping
13. What?
Why?
How?
Working Map Server
Features
Growing Fast
Guru Nanak Dev Engineering College Digital Mapping
14. What?
Why?
How?
Working Map Server
Features
A Real Time Map
Guru Nanak Dev Engineering College Digital Mapping
15. What?
Why?
How?
Working Map Server
Features
Current Statistics
Current Statistics : Updated August26,2010
293746 Registered Users
1912130851 GPS Track Points
747513499 Nodes
61081509 Ways
Guru Nanak Dev Engineering College Digital Mapping
16. What?
Why?
How?
Working Map Server
Features
Guru Nanak Dev Engineering College Digital Mapping
17. What?
Why?
How?
Working Map Server
Features
Why Map of Own?
For Custom Serve of Maps
Tile Images
Vector Images
Setelite Images
To Add Custom Features
Search Option
Distance Measurement Option
To Show Multi Lingual Maps
To Show Map in Differnent Colors
Guru Nanak Dev Engineering College Digital Mapping
18. What?
Why?
How?
Working Map Server
Features
How?
How Map Server Works
Guru Nanak Dev Engineering College Digital Mapping
19. What?
Why?
How?
Working Map Server
Features
How?
How To Build OSM-TileServer
Install Linux Server
Configure Apache Web Server
Get the Latest ’Planet’-OpenStreetMap data file
Install PostGreSQL Database
Configure PostGIS Database
Install and Configure osm2pgsql
Load planet into the database with osm2pgsql
Guru Nanak Dev Engineering College Digital Mapping
20. What?
Why?
How?
Working Map Server
Features
How?
How To Build OSM-TileServer
Install Mapnik library
Installing Dependencies for building the Mapnik library
Build Mapnik library
Install OpenStreet Mapnik tools
Render the Image of Your Data file
Install the Osmosis and it’s Libraries
Test it and Make your first Map
Guru Nanak Dev Engineering College Digital Mapping
21. What?
Why?
How?
Working Map Server
Features
Working Map Server
Map Working on Server
Guru Nanak Dev Engineering College Digital Mapping
22. What?
Why?
How?
Working Map Server
Features
Features
Customized features
High Zoom Level
Dynamic Map Search
Distance Measurement
Area Measurement
Guru Nanak Dev Engineering College Digital Mapping
23. What?
Why?
How?
Working Map Server
Features
High Zoom Level
The Map I make has the High zoom level than the normal
available on the OpenStreet Map.
Guru Nanak Dev Engineering College Digital Mapping
24. What?
Why?
How?
Working Map Server
Features
Custom Search
Custom Search
Search Option Works Dynamically
Guru Nanak Dev Engineering College Digital Mapping
25. What?
Why?
How?
Working Map Server
Features
Distance Measurement
Distance Measurement
Search Option Works Dynamically
Guru Nanak Dev Engineering College Digital Mapping
26. What?
Why?
How?
Working Map Server
Features
Haiti EarthQuake
Haiti EarthQuake
Guru Nanak Dev Engineering College Digital Mapping
27. What?
Why?
How?
Working Map Server
Features
Highly Customized Maps
Screenshots
Guru Nanak Dev Engineering College Digital Mapping
28. What?
Why?
How?
Working Map Server
Features
Highly Customized Maps
Screenshots
Guru Nanak Dev Engineering College Digital Mapping
29. What?
Why?
How?
Working Map Server
Features
Highly Customized Maps
Screenshots
Guru Nanak Dev Engineering College Digital Mapping
30. What?
Why?
How?
Working Map Server
Features
OSM Developers
OSM Developers
Guru Nanak Dev Engineering College Digital Mapping
31. What?
Why?
How?
Working Map Server
Features
Thank You!
Queries?
Digital Mapping
www.parveenarora.in
Guru Nanak Dev Engineering College Digital Mapping