LUMASS - a Spatial System Dynamics Modelling Framework
•
1 like•669 views
Overview of the LUMASS modelling framework and features. https://bitbucket.org/landcareresearch/lumass/wiki/Home
Report
Share
Report
Share
Download to read offline
Recommended
MAP REDUCE SLIDESHARE
MapReduce is a programming model used to process large datasets in a distributed computing environment. It works in three stages - map, shuffle, and reduce. In the map stage, data is processed by the mapper and converted into intermediate key-value pairs. These pairs are shuffled and sorted in the shuffle stage. Finally, in the reduce stage, the intermediate data is processed by the reducer to generate the final output. MapReduce provides an easy way to scale applications by distributing processing across large clusters of commodity servers. It allows parallel processing of large datasets in a reliable, fault-tolerant manner.
Disaster management
The document discusses disaster management and the role of geographic information systems (GIS) in disaster management. It defines disaster management as applying science, technology, planning and management to deal with extreme events, with an emphasis on prevention and loss reduction. It then outlines the benefits of using GIS for disaster management, such as facilitating data integration and editing, providing vital pre-disaster and post-disaster information, and assisting in post-disaster damage assessment.
GI2013 ppt decewicz_dresden2013.pdf
CommunityViz is a participatory decision support tool for planners that can be used at various stages of the planning process. It allows users to define and evaluate multiple scenarios or alternatives using spatial and non-spatial data. Formulas can be used to dynamically update attributes and indicators as assumptions are modified. This allows users to interactively analyze the impacts of different scenarios in real-time through maps, charts, and reports. The tool was demonstrated for planning in the Wrocław region of Poland, where it helped create common models and dynamically interpret alternative land use scenarios.
James Shorten - Spatial Economic Analysis Tool South West
This document provides an overview of how to use the Spatial Economic Analysis Tool South West James Shorten (SEAT-SW) tool in QGIS. It explains basic GIS and QGIS concepts like layers, projects, and the layer tree. It also demonstrates how to work with layers by turning them on/off, identifying data, and viewing attribute tables. Finally, it describes how users can create their own projects, import additional layers, change symbology, and export maps.
Geographic Information System - Swisstrack GPS Erfahrungen
GIS is a computer-based tool used and managed by people to efficiently capture, store, integrate, analyze and display spatial (geographically referenced) data & associated attribute data
Walking in the Cloud: A New Paradigm in Geospatial World
Cloud computing allows scalable and efficient use of computing resources in the internet cloud. The use of cloud computing is increasing across all the application domains, including in the field of GIS and remote sensing.
The advent of Google Earth Engine (GEE) in particular has brought about a revolutionary change in the way we use geospatial technology. The GEE is a cloud based geospatial platform that stores petabyte of satellite imagery and geospatial data and enables carrying out of complex image processing tasks and spatial analyses without the need of any GIS and remote sensing software.
Identify Graphs in excel
Graphs in Excel allow you to visually display data in different chart formats like bar charts, line charts, and pie charts. Charts are useful for understanding large amounts of data and relationships between parts of data by showing comparisons and trends more easily than raw numbers. For example, a line chart could show the relationship between "Distance traveled" on the horizontal x-axis and other data on the vertical y-axis. Charts are a powerful tool for communicating data graphically in Excel.
freeDatamap presentation - data visualization BI & GIS -
Mind Mapping + Business Intelligence = freeDatamap.
Unchain your data with the lightest and most intuitive self-service BI platform. Try a new data browsing experience thanks to a holistic and organization-wide dashboard to understand all the key aspects of your business in a unified data map.
With freeDatamap, access the right data, share the knowledge, break silos, help data to go “social”, make data available and collectively enriched.
• Find your way in an overwhelming amount of information.
• Visualize your data in a centralized trusted map.
• Display your business process across your organization.
• Navigate into the map and drill down to find the root cause of an indicator.
• Find any atomic data thanks to a powerful and immediate search engine.
• Reduce time to make fact based decisions.
Recommended
MAP REDUCE SLIDESHARE
MapReduce is a programming model used to process large datasets in a distributed computing environment. It works in three stages - map, shuffle, and reduce. In the map stage, data is processed by the mapper and converted into intermediate key-value pairs. These pairs are shuffled and sorted in the shuffle stage. Finally, in the reduce stage, the intermediate data is processed by the reducer to generate the final output. MapReduce provides an easy way to scale applications by distributing processing across large clusters of commodity servers. It allows parallel processing of large datasets in a reliable, fault-tolerant manner.
Disaster management
The document discusses disaster management and the role of geographic information systems (GIS) in disaster management. It defines disaster management as applying science, technology, planning and management to deal with extreme events, with an emphasis on prevention and loss reduction. It then outlines the benefits of using GIS for disaster management, such as facilitating data integration and editing, providing vital pre-disaster and post-disaster information, and assisting in post-disaster damage assessment.
GI2013 ppt decewicz_dresden2013.pdf
CommunityViz is a participatory decision support tool for planners that can be used at various stages of the planning process. It allows users to define and evaluate multiple scenarios or alternatives using spatial and non-spatial data. Formulas can be used to dynamically update attributes and indicators as assumptions are modified. This allows users to interactively analyze the impacts of different scenarios in real-time through maps, charts, and reports. The tool was demonstrated for planning in the Wrocław region of Poland, where it helped create common models and dynamically interpret alternative land use scenarios.
James Shorten - Spatial Economic Analysis Tool South West
This document provides an overview of how to use the Spatial Economic Analysis Tool South West James Shorten (SEAT-SW) tool in QGIS. It explains basic GIS and QGIS concepts like layers, projects, and the layer tree. It also demonstrates how to work with layers by turning them on/off, identifying data, and viewing attribute tables. Finally, it describes how users can create their own projects, import additional layers, change symbology, and export maps.
Geographic Information System - Swisstrack GPS Erfahrungen
GIS is a computer-based tool used and managed by people to efficiently capture, store, integrate, analyze and display spatial (geographically referenced) data & associated attribute data
Walking in the Cloud: A New Paradigm in Geospatial World
Cloud computing allows scalable and efficient use of computing resources in the internet cloud. The use of cloud computing is increasing across all the application domains, including in the field of GIS and remote sensing.
The advent of Google Earth Engine (GEE) in particular has brought about a revolutionary change in the way we use geospatial technology. The GEE is a cloud based geospatial platform that stores petabyte of satellite imagery and geospatial data and enables carrying out of complex image processing tasks and spatial analyses without the need of any GIS and remote sensing software.
Identify Graphs in excel
Graphs in Excel allow you to visually display data in different chart formats like bar charts, line charts, and pie charts. Charts are useful for understanding large amounts of data and relationships between parts of data by showing comparisons and trends more easily than raw numbers. For example, a line chart could show the relationship between "Distance traveled" on the horizontal x-axis and other data on the vertical y-axis. Charts are a powerful tool for communicating data graphically in Excel.
freeDatamap presentation - data visualization BI & GIS -
Mind Mapping + Business Intelligence = freeDatamap.
Unchain your data with the lightest and most intuitive self-service BI platform. Try a new data browsing experience thanks to a holistic and organization-wide dashboard to understand all the key aspects of your business in a unified data map.
With freeDatamap, access the right data, share the knowledge, break silos, help data to go “social”, make data available and collectively enriched.
• Find your way in an overwhelming amount of information.
• Visualize your data in a centralized trusted map.
• Display your business process across your organization.
• Navigate into the map and drill down to find the root cause of an indicator.
• Find any atomic data thanks to a powerful and immediate search engine.
• Reduce time to make fact based decisions.
autocad
AutoCAD is a commercial computer-aided design software used by architects, engineers, and designers since 1982. It uses coordinate systems to determine the position of points or geometric elements in a space. The Unified Computing System is a server platform introduced by Cisco in 2009 to improve scalability and reduce costs by integrating components into a single manageable unit. Coordinate systems can be Cartesian, using x and y axes, or polar, specifying the radius and angle from a fixed point.
Future of GIS, Moving to the Enterprise Platform
The document discusses how utilities are moving towards enterprise GIS platforms to better integrate and analyze spatial and asset data across their organizations. It provides examples of how Memphis Light Gas & Water and Middle Tennessee Electric Membership Corporation leveraged ArcGIS Online and mobile data collection to improve their asset management and field operations by exposing new types of data to field crews and collecting additional information. The key is for utilities to focus on exposing new data sources, collecting data from the field, and empowering operations through spatial analysis, systems integration and workflows.
2013 Enterprise Track, GIS Provides Dynamic Situational Awareness in the Adam...
Through the use of a host of modern GIS tools, a common operating Picture and Initial damage assessment and dollar loss estimate is available within minutes to emergency support, and decision makers.
The Role of GIS in the EOC:
• To provide dynamic situational awareness and a common operating picture To provide initial Damage/ Loss estimates
• To provide Analysis support for a wide range of spatial questions
• To provide external map information for the general public
• To provide requested paper maps in support of EOC Functions
Traditional GIS vehicles; Wall Maps and Paper Map Books are combined with Interactive maps, and newer map technologies; Web Maps, map services, and on-line map services are all utilized.
Inputting minimal data, various Models and tools automatically build out damage and loss zones. From these zones lists of the number of schools, properties, hazardous material locations, hospitals, roads affected, and a host of features are identified on the maps while reports, and spreadsheets are created. In addition, property damage estimates, are key outputs.
GIS at Adams County encompasses a variety of departments and people. Each GIS team contributes to the success of GIS in the EOC, and all participate in the readiness exercises, to be prepared in the event of a full scale disaster.
This presentation will demonstrate many of the tools developed to support the EOC, and describe the variety of multidisciplinary aspects of GIS at Adams County. The presentation will highlight successes; outline challenges overcome, and explore future challenges.
Stuart Miller - GIS Output and the Role of Cartography
1. Cartography remains an important part of GIS output as GIS has matured and more is now expected and demanded from GIS investments.
2. The GeoPDF format is an example of an ideal output for cartography that supports interactive maps, layers, and measurement tools within free Adobe Reader.
3. Cartographic professionals need to help shape the GIS industry agenda to ensure output tools are fit for purpose and basic cartographic principles and design are followed.
3D Solution Templates - Making the World 3D
3D Solution Templates are a collection of Workspace templates for processing 3D data with a special focus on how to handle the OGC standard CityGML available (soon) on FME Hub. OGC CityGML is a exchange and storage format for 3D geoinformation that describes the geometry, semantics, appearance and topology of complex 3D features. It is used as a national 3D GIS standard in many countries, e.g. Germany, Netherlands, and Singapore. The 3D Solution Templates have been developed in a cooperation between con terra and virtualcitySYSTEMS. Attendees will gain insights in the Workspace templates which cover topics such as reading, writing and validation of CityGML, related datamodels like INSPIRE and also a various number of 3D formats like 3D PDF and Sketchup.
Surfer
This document discusses contouring, gridding, and surface mapping techniques using Surfer software. It can generate maps quickly from irregularly spaced data by interpolating the values onto a regular grid. The grids can then be displayed and enhanced in Surfer by adding layers, customizing the view, and annotating to create publication-quality maps. Surfer allows users to interpolate irregular data into grids and generate different map types for understanding fields.
GEOGRAPHICAL INFORMATION SYSTEM (GIS)
This document provides an overview of geographic information systems (GIS). It defines GIS and lists its main components and functions for supporting decision making about land use, natural resources, and other planning areas. The document outlines the history of GIS, why it is needed, technologies that support it like remote sensing and cartography, and common applications in areas like natural resource management and emergency response. It also discusses GIS software, data, users, methods, benefits, and functions like data capture, compilation, and storage. Finally, it provides lists of common commercial and open source GIS software options as well as advantages, disadvantages, and potential of GIS technology.
Shark SQL and Rich Analytics at Scale
Shark is a SQL query engine built on top of Spark, a fast MapReduce-like engine. It extends Spark to support SQL and complex analytics efficiently while maintaining the fault tolerance and scalability of MapReduce. Shark uses techniques from databases like columnar storage and dynamic query optimization to improve performance. Benchmarks show Shark can perform SQL queries and machine learning algorithms faster than traditional MapReduce systems like Hive and Hadoop. The goal of Shark is to provide a unified system for both SQL and complex analytics processing at large scale.
mapreduce_presentation
This document discusses improvements to the flexibility and efficiency of data flow in MapReduce frameworks. It begins by describing MapReduce and its strengths and weaknesses. Main points cover extensions like iterative MapReduce, graph-dependent models, and time-aware models. These improve flexibility by allowing more complex data flows while frameworks like Spark, Pregel, and Naiad aim to reduce latency through optimizations like fusion and asynchronous messaging. The conclusion is that the goal remains a single framework providing scalability, fault-tolerance, flexibility, and automatic optimization for complex parallel patterns of computation.
Machine Learning on Distributed Systems by Josh Poduska
Abstract:- Most real-world data science workflows require more than multiple cores on a single server to meet scale and speed demands, but there is a general lack of understanding when it comes to what machine learning on distributed systems looks like in practice. Gartner and Forrester do not consider distributed execution when they score advanced analytics software solutions. Many formal machine learning training occurs on single node machines with non-distributed algorithms. In this talk we discuss why an understanding of distributed architectures is important for anyone in the analytical sciences. We will cover the current distributed machine learning ecosystem. We will review common pitfalls when performing machine learning at scale. We will discuss architectural considerations for a machine learning program such as the role of storage and compute and under what circumstances they should be combined or separated.
Alberta Data Automation for Environmental Models (ADAEM)
Alberta Data Automation for Environmental Models (ADAEM) is being developed by Alberta Environment and Parks (AEP) with consulting services and FME expertise provided by Safe Software business partner, Martin Newby Consulting Ltd. (MNC). ADAEM is a GIS-enabled, web-based portal that integrates various FME workspaces with the Alberta Modelling Expert System (MES) of AEP in support of data needs for environmental modelling. ADAEM automates the process of extraction, transformation, and loading (ETL) of spatial and non-spatial data sets to support various environmental models.
ADAEM will increase the efficiency and effectiveness of environmental modelling in support of integrated resource management in Alberta by deploying a FME solution. This system will eliminate duplication, repetitiveness, laborious, error-prone work related to data preparation. Above all, ADAEM will help maximize the value of modellers by better utilizing their time and expertise in developing model scenarios, analyzing data, and interpreting results rather than preparing data.
سکوهای ابری و مدل های برنامه نویسی در ابر
اسلایدهای ارائه سکوهای ابری و مدل های برنامه نویسی در ابر
اولین کارگاه ملی رایانش ابری کشور
دانشگاه صنعتی امیر کبیر
وحید امیری
vahidamiry.ir
آبان 1391
Hadoop mapreduce and yarn frame work- unit5
The document discusses MapReduce and the Hadoop framework. It provides an overview of how MapReduce works, examples of problems it can solve, and how Hadoop implements MapReduce at scale across large clusters in a fault-tolerant manner using the HDFS distributed file system and YARN resource management.
An Analytics Platform for Connected Vehicles
Hear about a data engineering solution for creating an advanced analytics platform for connected vehicles.
Dsm Presentation
The document discusses SuperMap's GIS products and technologies. It introduces their Land Management System and Field Mapper products. It then summarizes their GIS architecture, data model, and storage solutions including support for CAD data, databases using SuperMap SDX+, and file-based SDB/SDD formats. Finally, it outlines their focus on developing a general GIS platform and mentions their customer base of over 2000 organizations.
Sawmill - Integrating R and Large Data Clouds
This document discusses using R for large-scale data analysis on distributed data clouds. It recommends splitting large datasets into segments using MapReduce or UDFs, then building separate models for each segment in R. PMML can be used to combine the separate models into an ensemble model. The Sawmill framework is proposed to preprocess data in parallel, build models for each segment using R, and combine the models into a PMML file for deployment. Running R on each segment sequentially allows scaling to large datasets, with examples showing processing times for different numbers of segments.
GEOGRAPHICAL INFORMATION SYSTEMS
This document defines geographical information systems (GIS) and describes their key components and functions. GIS is defined as a system for capturing, storing, analyzing and managing data that is tied to specific locations. The key components of GIS are hardware, software, procedures, data and people. Hardware includes computers and input/output devices. Popular GIS software packages are listed. Procedures involve creating and editing maps and data. Data includes geospatial and attribute data from various sources. GIS has various functions including data processing, analysis, display and database management to support decision making.
MAD skills for analysis and big data Machine Learning
A brief introduction and comparison of big data approaches, framework and machine learning algorithms
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...Yahoo Developer Network
1) Amazon Elastic MapReduce enables customers to easily process vast amounts of data by launching Hadoop clusters across AWS infrastructure.
2) It provides features for managing, monitoring, and debugging Hadoop jobs and clusters without the operational complexities of Hadoop.
3) New features were announced that provide more flexibility for enterprises including expanding and shrinking running clusters, using spot instances to reduce costs, and additional support options.Azure basics
This document provides an introduction to Microsoft Azure, including key concepts like cloud computing, virtualization, cloud service models, and Azure components. It covers Azure storage services like blobs, tables, and SQL Azure. It also discusses the developer experience on Azure, using familiar tools like Visual Studio. Traffic Manager is introduced as a way to control traffic distribution for high availability. The document demonstrates deploying a web app to Azure and provides an overview of StudioRG infrastructure with an example.
MAP-REDUCE IMPLEMENTATIONS: SURVEY AND PERFORMANCE COMPARISON
Map Reduce has gained remarkable significance as a rominent parallel data processing tool in the research community, academia and industry with the spurt in volume of data that is to be analyzed. Map Reduce is used in different applications such as data mining, data analytic where massive data analysis is required, but still it is constantly being explored on different parameters such as performance and efficiency. This survey intends to explore large scale data processing using Map Reduce and its various implementations to facilitate the database, researchers and other communities in developing the technical understanding of the Map Reduce framework. In this survey, different Map Reduce implementations are explored and their inherent features are compared on different parameters. It also addresses the open issues and challenges raised on fully functional DBMS/Data Warehouse on Map Reduce. The comparison of various Map Reduce implementations is done with the most popular implementation Hadoop and other similar implementations using other platforms.
Systems analysis and design
The document discusses systems analysis and design. It defines key terms like system, system analysis, and system design. It describes various modeling techniques used in systems analysis and design like the Unified Modeling Language (UML), data flow diagrams, and entity relationship diagrams. It also discusses the systems development life cycle approach, agile approach, and the role of the systems analyst. The document provides an overview of the fundamental concepts in systems analysis and design.
More Related Content
What's hot
autocad
AutoCAD is a commercial computer-aided design software used by architects, engineers, and designers since 1982. It uses coordinate systems to determine the position of points or geometric elements in a space. The Unified Computing System is a server platform introduced by Cisco in 2009 to improve scalability and reduce costs by integrating components into a single manageable unit. Coordinate systems can be Cartesian, using x and y axes, or polar, specifying the radius and angle from a fixed point.
Future of GIS, Moving to the Enterprise Platform
The document discusses how utilities are moving towards enterprise GIS platforms to better integrate and analyze spatial and asset data across their organizations. It provides examples of how Memphis Light Gas & Water and Middle Tennessee Electric Membership Corporation leveraged ArcGIS Online and mobile data collection to improve their asset management and field operations by exposing new types of data to field crews and collecting additional information. The key is for utilities to focus on exposing new data sources, collecting data from the field, and empowering operations through spatial analysis, systems integration and workflows.
2013 Enterprise Track, GIS Provides Dynamic Situational Awareness in the Adam...
Through the use of a host of modern GIS tools, a common operating Picture and Initial damage assessment and dollar loss estimate is available within minutes to emergency support, and decision makers.
The Role of GIS in the EOC:
• To provide dynamic situational awareness and a common operating picture To provide initial Damage/ Loss estimates
• To provide Analysis support for a wide range of spatial questions
• To provide external map information for the general public
• To provide requested paper maps in support of EOC Functions
Traditional GIS vehicles; Wall Maps and Paper Map Books are combined with Interactive maps, and newer map technologies; Web Maps, map services, and on-line map services are all utilized.
Inputting minimal data, various Models and tools automatically build out damage and loss zones. From these zones lists of the number of schools, properties, hazardous material locations, hospitals, roads affected, and a host of features are identified on the maps while reports, and spreadsheets are created. In addition, property damage estimates, are key outputs.
GIS at Adams County encompasses a variety of departments and people. Each GIS team contributes to the success of GIS in the EOC, and all participate in the readiness exercises, to be prepared in the event of a full scale disaster.
This presentation will demonstrate many of the tools developed to support the EOC, and describe the variety of multidisciplinary aspects of GIS at Adams County. The presentation will highlight successes; outline challenges overcome, and explore future challenges.
Stuart Miller - GIS Output and the Role of Cartography
1. Cartography remains an important part of GIS output as GIS has matured and more is now expected and demanded from GIS investments.
2. The GeoPDF format is an example of an ideal output for cartography that supports interactive maps, layers, and measurement tools within free Adobe Reader.
3. Cartographic professionals need to help shape the GIS industry agenda to ensure output tools are fit for purpose and basic cartographic principles and design are followed.
3D Solution Templates - Making the World 3D
3D Solution Templates are a collection of Workspace templates for processing 3D data with a special focus on how to handle the OGC standard CityGML available (soon) on FME Hub. OGC CityGML is a exchange and storage format for 3D geoinformation that describes the geometry, semantics, appearance and topology of complex 3D features. It is used as a national 3D GIS standard in many countries, e.g. Germany, Netherlands, and Singapore. The 3D Solution Templates have been developed in a cooperation between con terra and virtualcitySYSTEMS. Attendees will gain insights in the Workspace templates which cover topics such as reading, writing and validation of CityGML, related datamodels like INSPIRE and also a various number of 3D formats like 3D PDF and Sketchup.
Surfer
This document discusses contouring, gridding, and surface mapping techniques using Surfer software. It can generate maps quickly from irregularly spaced data by interpolating the values onto a regular grid. The grids can then be displayed and enhanced in Surfer by adding layers, customizing the view, and annotating to create publication-quality maps. Surfer allows users to interpolate irregular data into grids and generate different map types for understanding fields.
What's hot (6)
2013 Enterprise Track, GIS Provides Dynamic Situational Awareness in the Adam...
2013 Enterprise Track, GIS Provides Dynamic Situational Awareness in the Adam...
Stuart Miller - GIS Output and the Role of Cartography
Stuart Miller - GIS Output and the Role of Cartography
Similar to LUMASS - a Spatial System Dynamics Modelling Framework
GEOGRAPHICAL INFORMATION SYSTEM (GIS)
This document provides an overview of geographic information systems (GIS). It defines GIS and lists its main components and functions for supporting decision making about land use, natural resources, and other planning areas. The document outlines the history of GIS, why it is needed, technologies that support it like remote sensing and cartography, and common applications in areas like natural resource management and emergency response. It also discusses GIS software, data, users, methods, benefits, and functions like data capture, compilation, and storage. Finally, it provides lists of common commercial and open source GIS software options as well as advantages, disadvantages, and potential of GIS technology.
Shark SQL and Rich Analytics at Scale
Shark is a SQL query engine built on top of Spark, a fast MapReduce-like engine. It extends Spark to support SQL and complex analytics efficiently while maintaining the fault tolerance and scalability of MapReduce. Shark uses techniques from databases like columnar storage and dynamic query optimization to improve performance. Benchmarks show Shark can perform SQL queries and machine learning algorithms faster than traditional MapReduce systems like Hive and Hadoop. The goal of Shark is to provide a unified system for both SQL and complex analytics processing at large scale.
mapreduce_presentation
This document discusses improvements to the flexibility and efficiency of data flow in MapReduce frameworks. It begins by describing MapReduce and its strengths and weaknesses. Main points cover extensions like iterative MapReduce, graph-dependent models, and time-aware models. These improve flexibility by allowing more complex data flows while frameworks like Spark, Pregel, and Naiad aim to reduce latency through optimizations like fusion and asynchronous messaging. The conclusion is that the goal remains a single framework providing scalability, fault-tolerance, flexibility, and automatic optimization for complex parallel patterns of computation.
Machine Learning on Distributed Systems by Josh Poduska
Abstract:- Most real-world data science workflows require more than multiple cores on a single server to meet scale and speed demands, but there is a general lack of understanding when it comes to what machine learning on distributed systems looks like in practice. Gartner and Forrester do not consider distributed execution when they score advanced analytics software solutions. Many formal machine learning training occurs on single node machines with non-distributed algorithms. In this talk we discuss why an understanding of distributed architectures is important for anyone in the analytical sciences. We will cover the current distributed machine learning ecosystem. We will review common pitfalls when performing machine learning at scale. We will discuss architectural considerations for a machine learning program such as the role of storage and compute and under what circumstances they should be combined or separated.
Alberta Data Automation for Environmental Models (ADAEM)
Alberta Data Automation for Environmental Models (ADAEM) is being developed by Alberta Environment and Parks (AEP) with consulting services and FME expertise provided by Safe Software business partner, Martin Newby Consulting Ltd. (MNC). ADAEM is a GIS-enabled, web-based portal that integrates various FME workspaces with the Alberta Modelling Expert System (MES) of AEP in support of data needs for environmental modelling. ADAEM automates the process of extraction, transformation, and loading (ETL) of spatial and non-spatial data sets to support various environmental models.
ADAEM will increase the efficiency and effectiveness of environmental modelling in support of integrated resource management in Alberta by deploying a FME solution. This system will eliminate duplication, repetitiveness, laborious, error-prone work related to data preparation. Above all, ADAEM will help maximize the value of modellers by better utilizing their time and expertise in developing model scenarios, analyzing data, and interpreting results rather than preparing data.
سکوهای ابری و مدل های برنامه نویسی در ابر
اسلایدهای ارائه سکوهای ابری و مدل های برنامه نویسی در ابر
اولین کارگاه ملی رایانش ابری کشور
دانشگاه صنعتی امیر کبیر
وحید امیری
vahidamiry.ir
آبان 1391
Hadoop mapreduce and yarn frame work- unit5
The document discusses MapReduce and the Hadoop framework. It provides an overview of how MapReduce works, examples of problems it can solve, and how Hadoop implements MapReduce at scale across large clusters in a fault-tolerant manner using the HDFS distributed file system and YARN resource management.
An Analytics Platform for Connected Vehicles
Hear about a data engineering solution for creating an advanced analytics platform for connected vehicles.
Dsm Presentation
The document discusses SuperMap's GIS products and technologies. It introduces their Land Management System and Field Mapper products. It then summarizes their GIS architecture, data model, and storage solutions including support for CAD data, databases using SuperMap SDX+, and file-based SDB/SDD formats. Finally, it outlines their focus on developing a general GIS platform and mentions their customer base of over 2000 organizations.
Sawmill - Integrating R and Large Data Clouds
This document discusses using R for large-scale data analysis on distributed data clouds. It recommends splitting large datasets into segments using MapReduce or UDFs, then building separate models for each segment in R. PMML can be used to combine the separate models into an ensemble model. The Sawmill framework is proposed to preprocess data in parallel, build models for each segment using R, and combine the models into a PMML file for deployment. Running R on each segment sequentially allows scaling to large datasets, with examples showing processing times for different numbers of segments.
GEOGRAPHICAL INFORMATION SYSTEMS
This document defines geographical information systems (GIS) and describes their key components and functions. GIS is defined as a system for capturing, storing, analyzing and managing data that is tied to specific locations. The key components of GIS are hardware, software, procedures, data and people. Hardware includes computers and input/output devices. Popular GIS software packages are listed. Procedures involve creating and editing maps and data. Data includes geospatial and attribute data from various sources. GIS has various functions including data processing, analysis, display and database management to support decision making.
MAD skills for analysis and big data Machine Learning
A brief introduction and comparison of big data approaches, framework and machine learning algorithms
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...Yahoo Developer Network
1) Amazon Elastic MapReduce enables customers to easily process vast amounts of data by launching Hadoop clusters across AWS infrastructure.
2) It provides features for managing, monitoring, and debugging Hadoop jobs and clusters without the operational complexities of Hadoop.
3) New features were announced that provide more flexibility for enterprises including expanding and shrinking running clusters, using spot instances to reduce costs, and additional support options.Azure basics
This document provides an introduction to Microsoft Azure, including key concepts like cloud computing, virtualization, cloud service models, and Azure components. It covers Azure storage services like blobs, tables, and SQL Azure. It also discusses the developer experience on Azure, using familiar tools like Visual Studio. Traffic Manager is introduced as a way to control traffic distribution for high availability. The document demonstrates deploying a web app to Azure and provides an overview of StudioRG infrastructure with an example.
MAP-REDUCE IMPLEMENTATIONS: SURVEY AND PERFORMANCE COMPARISON
Map Reduce has gained remarkable significance as a rominent parallel data processing tool in the research community, academia and industry with the spurt in volume of data that is to be analyzed. Map Reduce is used in different applications such as data mining, data analytic where massive data analysis is required, but still it is constantly being explored on different parameters such as performance and efficiency. This survey intends to explore large scale data processing using Map Reduce and its various implementations to facilitate the database, researchers and other communities in developing the technical understanding of the Map Reduce framework. In this survey, different Map Reduce implementations are explored and their inherent features are compared on different parameters. It also addresses the open issues and challenges raised on fully functional DBMS/Data Warehouse on Map Reduce. The comparison of various Map Reduce implementations is done with the most popular implementation Hadoop and other similar implementations using other platforms.
Systems analysis and design
The document discusses systems analysis and design. It defines key terms like system, system analysis, and system design. It describes various modeling techniques used in systems analysis and design like the Unified Modeling Language (UML), data flow diagrams, and entity relationship diagrams. It also discusses the systems development life cycle approach, agile approach, and the role of the systems analyst. The document provides an overview of the fundamental concepts in systems analysis and design.
Systems Analysis and Design
The document discusses systems analysis and design. It defines key terms like system, system analysis, and system design. It describes various modeling techniques used in systems analysis and design like the Unified Modeling Language (UML), Entity Relationship Diagrams, Data Flow Diagrams. It discusses the need for systems analysis and design and the roles of a systems analyst. It also covers the Systems Development Life Cycle (SDLC) approach, the Agile approach, and how the Unified Modeling Language (UML) is used.
Enterprise performance engineering solutions
This document discusses performance engineering and global software development. It describes Infosys' approach which combines performance engineering practices with client delivery experience. This includes workload and performance modeling, benchmarking, tuning, and optimization methodologies to deliver high-performance systems with reduced costs and timelines. The key aspects of the approach are system requirements, modeling, performance testing and benchmarking, and optimization and tuning.
BA Summit 2014 Ontdek de nieuwe mogelijkheden van IBM SPSS Modeler 16.0
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions—from the desktop or within operational systems.
Top 3 design patterns in Map Reduce
This document outlines three common design patterns in MapReduce: summarization patterns, numerical summarization, and filter patterns. Summarization patterns provide aggregate views of large datasets by grouping similar data and performing calculations. Numerical summarization is a general pattern for calculating aggregate statistics by grouping records by key and calculating metrics per group. Filter patterns find subsets of interest from large datasets to apply further analysis. Specific examples like top K records, join patterns, and reduce-side joins are also covered.
Similar to LUMASS - a Spatial System Dynamics Modelling Framework (20)
Machine Learning on Distributed Systems by Josh Poduska
Machine Learning on Distributed Systems by Josh Poduska
Alberta Data Automation for Environmental Models (ADAEM)
Alberta Data Automation for Environmental Models (ADAEM)
MAD skills for analysis and big data Machine Learning
MAD skills for analysis and big data Machine Learning
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...
MAP-REDUCE IMPLEMENTATIONS: SURVEY AND PERFORMANCE COMPARISON
MAP-REDUCE IMPLEMENTATIONS: SURVEY AND PERFORMANCE COMPARISON
BA Summit 2014 Ontdek de nieuwe mogelijkheden van IBM SPSS Modeler 16.0
BA Summit 2014 Ontdek de nieuwe mogelijkheden van IBM SPSS Modeler 16.0
Recently uploaded
Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.Farming systems analysis: what have we learnt?.pptx
Presentation given at the official farewell of Prof Ken Gillet at Wageningen on 13 June 2024
Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
11.1 Role of physical biological in deterioration of grains.pdf
Storagedeteriorationisanyformoflossinquantityandqualityofbio-materials.
Themajorcausesofdeteriorationinstorage
•Physical
•Biological
•Mechanical
•Chemical
Storageonlypreservesquality.Itneverimprovesquality.
Itisadvisabletostartstoragewithqualityfoodproduct.Productwithinitialpoorqualityquicklydepreciates
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
By harnessing the power of High Flux Vacuum Membrane Distillation, Travis Hills from MN envisions a future where clean and safe drinking water is accessible to all, regardless of geographical location or economic status.
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(UAM毕业证书)马德里自治大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Pests of Storage_Identification_Dr.UPR.pdf
InIndia-post-harvestlosses-unscientificstorage,insects,rodents,micro-organismsetc.,accountforabout10percentoftotalfoodgrains
Graininfestation
Directdamage
Indirectly
•theexuviae,skin,deadinsects
•theirexcretawhichmakefoodunfitforhumanconsumption
About600speciesofinsectshavebeenassociatedwithstoredgrainproducts
100speciesofinsectpestsofstoredproductscauseeconomiclosses
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(salfor毕业证书)索尔福德大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Recently uploaded (20)
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Juaristi, Jon. - El canon espanol. El legado de la cultura española a la civi...
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
Farming systems analysis: what have we learnt?.pptx
Farming systems analysis: what have we learnt?.pptx
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
11.1 Role of physical biological in deterioration of grains.pdf
11.1 Role of physical biological in deterioration of grains.pdf
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
The cost of acquiring information by natural selection
The cost of acquiring information by natural selection
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
LUMASS - a Spatial System Dynamics Modelling Framework
- 1. LUMASS a Spatial System Dynamics Modelling Framework Alexander Herzig and Daniel Rutledge
- 2. Land-Use Management Support How does the system work? How does the system react to management? Spatially explicit system dynamics modelling System understanding Impact assessment What do we do? Where do we do it? Spatial optimisation Land-use development scenarios Resource-use efficiency
- 3. Design Criteria Raster-based (attribute table support) Large data support Multi-scale (space and time) Dynamic models Component-based Easy to use for non-programmers
- 4. LUMASS Features • Multi-dimensional data support • Legacy model integration • Cellular automata modelling • Spatial Optimisation • SQL processing • Visual programming environment • Auto-completion • Syntax highlighting • Map display (3D) • Table viewing and manipulation FrameworkUserinterface
- 5. LUMASS GUI
- 8. Hierarchy and Execution Order
- 12. Dynamics & Feedback Dynamics and Feedback – Daisy World
- 14. Erosion Mitigation Optimisation Mitigation Option 1 (Effectiveness, Cost) Mitigation Option … Mitigation Option n (Effectiveness, Cost) Mitigation Budget Farm Mitigation Zones
- 16. Model to the Data lumassengine LUMASS GUI LUMASS Model </xml> Data Store Cluster Data Service User Data User Data Data Provider Local
- 17. Architecture
- 18. What’s next • OGC Web Services Clients (e.g. WCS) • Interoperability (OMS3, BMI) • rasdaman – SQLite interface • Python-based MapKernel filter • Lateral Transport • Evaluation & Visualisation • Reporting • …
- 19. Acknowledgement for support, contribution and funding: Anne-Gaelle Ausseil, John Dymond, Alison Collins, Chris Phillips, Justine Daw, Jackie Aislabie, Garth Harmsworth, Robbie Price, David Whitehead, Fiona Carswell, New Zealand Ministry of Business, Innovation and Employment’s Science and Innovation Group, Northland Regional Council and Auckland Council Download & Documentation https://bitbucket.org/landcareresearch/lumass