2004-09-12 Data and Tools for Web-Based Monitoring and AnalysisRudolf Husar
The document discusses the DataFed infrastructure, which integrates distributed fire-related and air quality data sources to provide new insights. It provides access to dozens of aerosol, emissions, fire, meteorology, and GIS datasets. DataFed uses web services and a service-oriented architecture to facilitate data sharing and allow users to perform customized analyses across different datasets.
2017 GIS in Emergency Management Track: Situational Awareness: Building an O...GIS in the Rockies
The document describes plans to create a situational awareness dashboard for emergency management. The dashboard will integrate real-time data from various sources like 911 calls, weather, traffic to provide public safety agencies and the public visibility into current emergency and event impacts. It will be built using ESRI's Operations Dashboard software leveraging existing GIS data and tools. Key steps will include identifying appropriate data sources, obtaining access to real-time data, designing the dashboard interface, and planning for future enhancements.
2017 GIS in Development Track: USGS POD Implementation in USGS Cloud to Suppo...GIS in the Rockies
The USGS has modernized its US Topo map production system by implementing a cloud-based Product on Demand (POD) system. The POD system produces digital US Topo maps in a geospatial PDF format from various federal and partner data sources. It allows for future capabilities like dynamic mapping at multiple scales and formats and custom map content and areas of interest. The USGS aims to complete its third production cycle by 2018 and enhance US Topo with additional recreational trails and other geographic data.
@healthmap shared detailed anonymised data. Filter England data to match Local Authority boundaries. Pivot-table them into time-series attributes per Local Authority. Use @kennethfield coxcombs in ArcGIS. Parse the class_ field into dates. Post the newly time-enabled coxcombs to fan out and show infectuous arrivals. Step-by-step starts slide 11.
This document summarizes Leaflet and leafletR, a package for R that generates Leaflet JavaScript commands to create interactive web maps. It discusses that Leaflet is a JavaScript library for web maps, leafletR allows users to enter R commands and generates the corresponding Leaflet code to an HTML file viewed in a browser, and provides examples of simple code usage and data types like GeoJSON that can be used.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
This document provides instructions for downloading and analyzing data from the 2012 wave of the General Social Survey. It includes links to download the SPSS dataset from the survey and instructions for creating APA-style tables from the data as well as examples of obtaining marginal frequencies from the dataset in R.
2004-09-12 Data and Tools for Web-Based Monitoring and AnalysisRudolf Husar
The document discusses the DataFed infrastructure, which integrates distributed fire-related and air quality data sources to provide new insights. It provides access to dozens of aerosol, emissions, fire, meteorology, and GIS datasets. DataFed uses web services and a service-oriented architecture to facilitate data sharing and allow users to perform customized analyses across different datasets.
2017 GIS in Emergency Management Track: Situational Awareness: Building an O...GIS in the Rockies
The document describes plans to create a situational awareness dashboard for emergency management. The dashboard will integrate real-time data from various sources like 911 calls, weather, traffic to provide public safety agencies and the public visibility into current emergency and event impacts. It will be built using ESRI's Operations Dashboard software leveraging existing GIS data and tools. Key steps will include identifying appropriate data sources, obtaining access to real-time data, designing the dashboard interface, and planning for future enhancements.
2017 GIS in Development Track: USGS POD Implementation in USGS Cloud to Suppo...GIS in the Rockies
The USGS has modernized its US Topo map production system by implementing a cloud-based Product on Demand (POD) system. The POD system produces digital US Topo maps in a geospatial PDF format from various federal and partner data sources. It allows for future capabilities like dynamic mapping at multiple scales and formats and custom map content and areas of interest. The USGS aims to complete its third production cycle by 2018 and enhance US Topo with additional recreational trails and other geographic data.
@healthmap shared detailed anonymised data. Filter England data to match Local Authority boundaries. Pivot-table them into time-series attributes per Local Authority. Use @kennethfield coxcombs in ArcGIS. Parse the class_ field into dates. Post the newly time-enabled coxcombs to fan out and show infectuous arrivals. Step-by-step starts slide 11.
This document summarizes Leaflet and leafletR, a package for R that generates Leaflet JavaScript commands to create interactive web maps. It discusses that Leaflet is a JavaScript library for web maps, leafletR allows users to enter R commands and generates the corresponding Leaflet code to an HTML file viewed in a browser, and provides examples of simple code usage and data types like GeoJSON that can be used.
Field Data Collecting, Processing and Sharing: Using web Service TechnologiesNiroshan Sanjaya
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
This document provides instructions for downloading and analyzing data from the 2012 wave of the General Social Survey. It includes links to download the SPSS dataset from the survey and instructions for creating APA-style tables from the data as well as examples of obtaining marginal frequencies from the dataset in R.
- The document describes Yoichi Kayama's work extending spatial data functionality to the CKAN open data platform to support the Japanese government's open data and spatial information initiatives.
- Key extensions to CKAN implemented include improving the spatial resource preview function, adding spatial data processing tools using GDAL/OGR, overlay mapping of multiple spatial resources, and enabling purchase of spatial data products from private companies through the system.
- Future plans include public launch of the system in November along with incorporating paid data from private sector vendors.
Lect 1 & 2 introduction to gis & rsRehana Jamal
The document provides an introduction to remote sensing including:
- A definition of remote sensing as collecting information about objects or areas from a distance without physical contact.
- An overview of the history of remote sensing from early aerial photography using balloons and airplanes to modern satellite imagery.
- An explanation that remote sensing is a spatial data acquisition technique that collects remotely sensed data from various platforms and sources.
This document provides an introduction to Geographic Information Systems (GIS) and Remote Sensing. It discusses what GIS and remote sensing are, their applications in civil engineering like transportation planning, terrain mapping, watershed analysis and environmental impact studies. It also outlines data sources for GIS like Natural Earth and Global Map. Finally, it discusses uses of GIS/remote sensing in business for industries like dairy, pest control, banking and electricity distribution.
• The objective is airline traffic management analysis is to maintain and analyze it based on various factors
• Tools used: Horton Works Sandbox, Tableau
FME is used at PNM for a wide variety of purposes including:
1. Buffering underground utility lines and formatting outage data for maps
2. Processing new service data and calculating distribution infrastructure metrics
3. Converting and extracting GIS data for use in other systems like CAD and for reporting, auditing, and analyzing assets, outages and joint use infrastructure.
A description of some of the water and storm modeling tools in Civil 3D. This was a specialized presentation, so the slide background was scrubbed out and a standard design used in its place.
On-the-fly Integration of Static and Dynamic Linked Dataaharth
Slides of COLD 2013 Paper "On-the-fly Integration of Static and Dynamic Linked Data", Andreas Harth (KIT), Craig Knoblock (USC), Steffen Stadtmüller (KIT), Rudi Studer (KIT), Pedro Szekely (USC)
This document discusses several empirical approaches for analyzing large geographic datasets:
1) Matching datasets in ArcGIS by spatially joining points and polygons using tools like Extract Values to Points for large raster datasets.
2) Reading shapefile and database files into Stata using the shp2dta command to link geographic and attribute information.
3) Comparing the costs of action vs. inaction in biomodeling by predicting outcomes under different land management scenarios.
4) Geocoding villages without geographic coordinates using online tools to assign latitude and longitude for merging external geographic data.
5) Standardizing country names in Stata using the kountry command to facilitate linking datasets based on country information.
This document provides an introduction to the interface of ArcGIS 10.5. It outlines the main components, which are Arc Catalog, ArcMap, Arc Scene, and Arc Globe. Arc Catalog is used for browsing and organizing data. ArcMap allows viewing and editing data in a map or layout view. Arc Scene enables 3D visualization and analysis of geospatial data. Arc Globe facilitates exploration of globe data. The document describes the interface elements and functions of each component.
Where2.0Now - Finding the heat in Thematic MapsJohn Fagan
Thematic Mapping was once a specialist process for analysing statistical data spatially. GI Professionals understood how to do it, why they were doing and how to interpret the results. Thanks to the proliferation of API’s from the Web 2.0 world, Thematic Mapping API’s have become readily available and accessible by any developer with basic technical know how. You don’t have to be a GI Professional to create an impressive looking Thematic Map of your data. This presentation attempts to discuss how increased accessibility to geospatial processes is a good thing, BUT, you need to understand the underlying principles of geospatial analysis if you are going to leverage this technology
This document provides an introduction to full-featured GIS software. It explains that GIS software displays geographic data through visual features like colors and symbols but does not store the actual geographic information. The geographic information comes from databases and collections of raster data and shapefiles stored in an external file repository. It also gives examples of displaying geodata in QGIS using a map of Annette Island, and introduces sample data relating to a German Pietist community in Russia that is stored in different file formats.
GI2016 ppt shi (big data analytics on the internet)IGN Vorstand
This PowerPoint presentation summarizes a new algorithm for spatial statistical aggregation and disaggregation of geospatial and agricultural data. The algorithm uses Python and Pandas/Numpy libraries to automatically source data from the USGS website, aggregate county-level statistics into state-level statistics, and disaggregate state-level statistics back into estimated county-level values. It illustrates the process with examples of nitrogen input and wheat production statistics. The use of FIPS codes to geocode data allows for automated processing and integration of tabular data with geographical boundaries.
This document discusses big data processing frameworks and presents Port, a MapReduce framework for Pharo. It describes how Port allows executing MapReduce jobs locally or on Hadoop clusters and provides a Spark-like API. The document demonstrates Port by implementing a word counting application and executing it on sample poll data to count votes by region in a distributed manner. Finally, it discusses potential uses of Port and ideas for live debugging of distributed big data applications.
Overview of the metadata in the new CountrySTAT platformFAO
The document provides an overview of the metadata in the new CountrySTAT platform. It discusses the workflow for uploading tables, including having the data and metadata ready, using the correct codification, and filling all required metadata fields. It defines metadata as "data defining data" and explains that statistical metadata helps ensure data quality by providing information about units, sources, dates, methodology, and more. It shows the Metadata Editor interface where users can fill in title, subject, data type, and other categories to provide accurate descriptions and enable better data retrieval.
GIS (Geographic Information Systems) uses computer software and data to manage, interpret, visualize, understand, and display geographic information for a variety of purposes. GIS can use 2D or 3D maps, with 2D primarily used for transparency effects and 3D used for aesthetic purposes and realism. GIS is used by government agencies like police departments and MoDot to track crime, manage transportation, and utilities companies to map infrastructure. It also has applications in weather prediction, education, and more.
This document describes the Electronic Regional Risk Atlas (ERRA), a geoportal solution developed for the EU-funded PPRD East project. ERRA provides tools for searching, viewing, analyzing, and downloading civil protection and disaster management data across 6 countries in the Eastern Partnership region. It allows for multi-user access and sharing of data between organizations. ERRA uses open standards and can integrate data from various sources through its metadata catalogue. It provides functions for mapping compositions, querying map layers, and embedding maps. A mobile app is also being considered for data collection purposes.
The document summarizes a Think Big Bootcamp project involving the ingestion and preliminary analysis of aircraft registry data from the FAA. It describes how the data was ingested using Python and Hadoop, then loaded into Hive tables. Initial exploration found the most frequently reported crafts and analyzed acceptance rates. Site comparison showed differences in average speed and altitude between two sites. Master data queries were created to summarize models, aircraft, and owners. Data visualizations analyzed fastest planes, speed vs altitude by make, unique flights by airline, and number of sightings by aircraft make.
Applications of GIS in Electrical Power SystemKhurram Butt
This document discusses applications of geographic information systems (GIS) in electrical power systems. GIS allows utilities to integrate spatial and asset data for improved network visualization, outage management, billing, and more. The author outlines GIS database development through asset digitization and data collection. Applications include GIS integration, optimizing transmission line routing, load forecasting, and disaster management. Findings show GIS plays a key role in planning, analysis, and emergency response by connecting system and environmental data. The author recommends training utility engineers in GIS and expanding future GIS and GPS applications.
Free and open source software for remote sensing and GISNopphawanTamkuan
This document provides information on various free geospatial data sources and products available online. It summarizes datasets including aerial imagery, digital elevation models, Landsat, MODIS, Sentinel satellite imagery and products, OpenStreetMap, and other vector and raster data that can be used for applications such as agriculture, climate monitoring, disaster management and more. Many of the datasets are hosted by government agencies and scientific organizations looking to make Earth observation data openly available.
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
- The document describes Yoichi Kayama's work extending spatial data functionality to the CKAN open data platform to support the Japanese government's open data and spatial information initiatives.
- Key extensions to CKAN implemented include improving the spatial resource preview function, adding spatial data processing tools using GDAL/OGR, overlay mapping of multiple spatial resources, and enabling purchase of spatial data products from private companies through the system.
- Future plans include public launch of the system in November along with incorporating paid data from private sector vendors.
Lect 1 & 2 introduction to gis & rsRehana Jamal
The document provides an introduction to remote sensing including:
- A definition of remote sensing as collecting information about objects or areas from a distance without physical contact.
- An overview of the history of remote sensing from early aerial photography using balloons and airplanes to modern satellite imagery.
- An explanation that remote sensing is a spatial data acquisition technique that collects remotely sensed data from various platforms and sources.
This document provides an introduction to Geographic Information Systems (GIS) and Remote Sensing. It discusses what GIS and remote sensing are, their applications in civil engineering like transportation planning, terrain mapping, watershed analysis and environmental impact studies. It also outlines data sources for GIS like Natural Earth and Global Map. Finally, it discusses uses of GIS/remote sensing in business for industries like dairy, pest control, banking and electricity distribution.
• The objective is airline traffic management analysis is to maintain and analyze it based on various factors
• Tools used: Horton Works Sandbox, Tableau
FME is used at PNM for a wide variety of purposes including:
1. Buffering underground utility lines and formatting outage data for maps
2. Processing new service data and calculating distribution infrastructure metrics
3. Converting and extracting GIS data for use in other systems like CAD and for reporting, auditing, and analyzing assets, outages and joint use infrastructure.
A description of some of the water and storm modeling tools in Civil 3D. This was a specialized presentation, so the slide background was scrubbed out and a standard design used in its place.
On-the-fly Integration of Static and Dynamic Linked Dataaharth
Slides of COLD 2013 Paper "On-the-fly Integration of Static and Dynamic Linked Data", Andreas Harth (KIT), Craig Knoblock (USC), Steffen Stadtmüller (KIT), Rudi Studer (KIT), Pedro Szekely (USC)
This document discusses several empirical approaches for analyzing large geographic datasets:
1) Matching datasets in ArcGIS by spatially joining points and polygons using tools like Extract Values to Points for large raster datasets.
2) Reading shapefile and database files into Stata using the shp2dta command to link geographic and attribute information.
3) Comparing the costs of action vs. inaction in biomodeling by predicting outcomes under different land management scenarios.
4) Geocoding villages without geographic coordinates using online tools to assign latitude and longitude for merging external geographic data.
5) Standardizing country names in Stata using the kountry command to facilitate linking datasets based on country information.
This document provides an introduction to the interface of ArcGIS 10.5. It outlines the main components, which are Arc Catalog, ArcMap, Arc Scene, and Arc Globe. Arc Catalog is used for browsing and organizing data. ArcMap allows viewing and editing data in a map or layout view. Arc Scene enables 3D visualization and analysis of geospatial data. Arc Globe facilitates exploration of globe data. The document describes the interface elements and functions of each component.
Where2.0Now - Finding the heat in Thematic MapsJohn Fagan
Thematic Mapping was once a specialist process for analysing statistical data spatially. GI Professionals understood how to do it, why they were doing and how to interpret the results. Thanks to the proliferation of API’s from the Web 2.0 world, Thematic Mapping API’s have become readily available and accessible by any developer with basic technical know how. You don’t have to be a GI Professional to create an impressive looking Thematic Map of your data. This presentation attempts to discuss how increased accessibility to geospatial processes is a good thing, BUT, you need to understand the underlying principles of geospatial analysis if you are going to leverage this technology
This document provides an introduction to full-featured GIS software. It explains that GIS software displays geographic data through visual features like colors and symbols but does not store the actual geographic information. The geographic information comes from databases and collections of raster data and shapefiles stored in an external file repository. It also gives examples of displaying geodata in QGIS using a map of Annette Island, and introduces sample data relating to a German Pietist community in Russia that is stored in different file formats.
GI2016 ppt shi (big data analytics on the internet)IGN Vorstand
This PowerPoint presentation summarizes a new algorithm for spatial statistical aggregation and disaggregation of geospatial and agricultural data. The algorithm uses Python and Pandas/Numpy libraries to automatically source data from the USGS website, aggregate county-level statistics into state-level statistics, and disaggregate state-level statistics back into estimated county-level values. It illustrates the process with examples of nitrogen input and wheat production statistics. The use of FIPS codes to geocode data allows for automated processing and integration of tabular data with geographical boundaries.
This document discusses big data processing frameworks and presents Port, a MapReduce framework for Pharo. It describes how Port allows executing MapReduce jobs locally or on Hadoop clusters and provides a Spark-like API. The document demonstrates Port by implementing a word counting application and executing it on sample poll data to count votes by region in a distributed manner. Finally, it discusses potential uses of Port and ideas for live debugging of distributed big data applications.
Overview of the metadata in the new CountrySTAT platformFAO
The document provides an overview of the metadata in the new CountrySTAT platform. It discusses the workflow for uploading tables, including having the data and metadata ready, using the correct codification, and filling all required metadata fields. It defines metadata as "data defining data" and explains that statistical metadata helps ensure data quality by providing information about units, sources, dates, methodology, and more. It shows the Metadata Editor interface where users can fill in title, subject, data type, and other categories to provide accurate descriptions and enable better data retrieval.
GIS (Geographic Information Systems) uses computer software and data to manage, interpret, visualize, understand, and display geographic information for a variety of purposes. GIS can use 2D or 3D maps, with 2D primarily used for transparency effects and 3D used for aesthetic purposes and realism. GIS is used by government agencies like police departments and MoDot to track crime, manage transportation, and utilities companies to map infrastructure. It also has applications in weather prediction, education, and more.
This document describes the Electronic Regional Risk Atlas (ERRA), a geoportal solution developed for the EU-funded PPRD East project. ERRA provides tools for searching, viewing, analyzing, and downloading civil protection and disaster management data across 6 countries in the Eastern Partnership region. It allows for multi-user access and sharing of data between organizations. ERRA uses open standards and can integrate data from various sources through its metadata catalogue. It provides functions for mapping compositions, querying map layers, and embedding maps. A mobile app is also being considered for data collection purposes.
The document summarizes a Think Big Bootcamp project involving the ingestion and preliminary analysis of aircraft registry data from the FAA. It describes how the data was ingested using Python and Hadoop, then loaded into Hive tables. Initial exploration found the most frequently reported crafts and analyzed acceptance rates. Site comparison showed differences in average speed and altitude between two sites. Master data queries were created to summarize models, aircraft, and owners. Data visualizations analyzed fastest planes, speed vs altitude by make, unique flights by airline, and number of sightings by aircraft make.
Applications of GIS in Electrical Power SystemKhurram Butt
This document discusses applications of geographic information systems (GIS) in electrical power systems. GIS allows utilities to integrate spatial and asset data for improved network visualization, outage management, billing, and more. The author outlines GIS database development through asset digitization and data collection. Applications include GIS integration, optimizing transmission line routing, load forecasting, and disaster management. Findings show GIS plays a key role in planning, analysis, and emergency response by connecting system and environmental data. The author recommends training utility engineers in GIS and expanding future GIS and GPS applications.
Free and open source software for remote sensing and GISNopphawanTamkuan
This document provides information on various free geospatial data sources and products available online. It summarizes datasets including aerial imagery, digital elevation models, Landsat, MODIS, Sentinel satellite imagery and products, OpenStreetMap, and other vector and raster data that can be used for applications such as agriculture, climate monitoring, disaster management and more. Many of the datasets are hosted by government agencies and scientific organizations looking to make Earth observation data openly available.
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
This document provides an introduction to Geographic Information Systems (GIS) including definitions, components, and applications. It defines GIS as having three integrated parts: geographic, information, and systems. GIS combines hardware, software, data, people, and methods to capture, store, analyze, and display spatial data. Key applications of GIS include navigation, natural resource management, and environmental planning. The document also outlines the basic functions of GIS including capturing, storing, querying, analyzing, displaying, and presenting geographic data.
GIS enables fire departments to perform comprehensive vulnerability analyses to identify community values, hazards, and risks. This information supports various preparedness activities including deployment planning, training, and developing prevention and education programs. GIS facilitates mitigation efforts by identifying target areas for programs and improving operations like inspections and preplanning.
rworldmap: A New R package for Mapping Global DataDr. Volkan OBAN
- The rworldmap package allows users to easily map and visualize global data referenced by country or on a grid within R.
- It provides functions to join country-level data to a map based on country codes or names, and then plot the mapped data. It can also plot gridded data stored in common file formats.
- The package aims to facilitate understanding of global issues by making the visualization of global data simpler for R users across different disciplines.
What to do with the existing spatial data in planningKarel Charvat
The document discusses harmonizing spatial planning data from different regions in Europe to be compliant with INSPIRE directives. It describes the Plan4all project which developed conceptual data models for several INSPIRE themes including land cover, land use, and natural risk zones. The harmonization process involves describing source data, defining transformations between source and target structures, and publishing the harmonized data through web services and applications. Lessons learned include clearly defining source data and code lists to aid transformation and addressing differences in how terms are used across countries.
Esri News for Federal Government Winter 2012/2013 issueEsri
The United States Environmental Protection Agency (EPA) has built a map service called EPA GeoPlatform on Esri's ArcGIS Online for Organizations to make geospatial data and tools more accessible to EPA staff. EPA GeoPlatform includes public and private cloud components to share internal and external data. It supports EPA activities like enforcement targeting and environmental justice screening. EPA sees benefits like increased access to decision-making tools and cost savings from standardization. EPA GeoPlatform serves as the agency's centralized hub for hosted map services.
This document discusses emerging lidar technologies for use in 3DEP, the USGS 3D Elevation Program. It provides an overview of 3DEP and its goals of providing high-quality topographic data. Emerging technologies discussed include Geiger-mode lidar and single photon lidar. Test projects using these technologies have been conducted in Illinois, South Dakota, and North Carolina to help advance the technologies. The document outlines guidelines for evaluating the quality and accuracy of data from these sensors.
1) NOMADS provides real-time and archived access to NOAA operational model data through multiple servers for applications like agriculture weather alerts.
2) The document demonstrates using Global Ensemble data through a GrADS Data Server to calculate weather event probabilities and send alerts to users via email or text when probability thresholds are exceeded.
3) An example application was developed for the World Bank to provide precipitation alerts to farmers in developing countries via cell phones.
Hart Energy launched its extensive energy infrastructure dataset on Esri's ArcGIS Online platform. This allows Hart Energy customers to access high-quality pipeline and oil/gas asset data from anywhere using GIS tools in the cloud. As the first energy data provider to use Esri's cloud services, Hart Energy can now provide its comprehensive North American energy dataset to customers in a cost-effective and low-risk manner.
geoinformatics handbook:it contains all open source software and commerical software of remote sensing,gis and photogrammerty and also all free data sources.free data sources such as DEM and LIDAR
SDSC Technology Forum: Increasing the Impact of High Resolution Topography Da...OpenTopography Facility
High-resolution topography is a powerful tool for studying the Earth's surface, vegetation, and urban landscapes, with broad scientific, engineering, and educational-based applications. Over the past decade, there has been dramatic growth in the acquisition of these data for scientific, environmental, engineering and planning purposes. In the US, the U.S. Geological Society is undertaking the 3D Elevation Program (3DEP) to map the entire lower 48 with lidar by 2023.
The richness of these topography datasets make them extremely valuable beyond the application that drove their acquisition and thus are of interest to a large and varied user community. A cyberinfrastructure platform that enables users to efficiently discover, access and process these massive volumes of data increases the impact of investments in collection of the data and catalyzes scientific discovery as well as informs critical decisions that are made across our Nation every day that depend on elevation data, ranging from immediate safety of life, property, and environment to long term planning for infrastructure projects.
Join us to hear about the motivations, technology, and data assets behind the National Science Foundation funded OpenTopography platform, which aims to democratize access to high resolution topographic data. OpenTopography’s innovation is in co-locating massive volumes of topographic data with processing tools that enable users with varied expertise and application domains to quickly and easily access and process data, to enable innovation and decision making.
Kevin Ma - CASM Interface Technical PosterKevin Ma
CASM is a software program that allows agencies to share information about communication equipment to prevent interference. It previously created coverage plot files using Google Earth, but the files were too large to display. To address this, an alternative mapping library called Leaflet was chosen. Leaflet allows larger files and local loading of maps. It also provides easier printing and coloring of plots. The changes included creating temporary session folders to store user files that delete when the session ends.
The document discusses how the DataFed system allows users to access and integrate distributed fire-related data sources to build web applications. DataFed provides wrappers to make datasets like MODIS fire locations and Forest Service weather data accessible via web services. These datasets can then be overlaid and analyzed spatially and temporally to generate insights into fire activity, smoke impacts, and comparisons between different data sources. Examples are given of web applications created using DataFed to analyze fire pixels, locations, acres burned, and air quality effects.
The document provides a list of free spatial technology platforms and interactive mapping websites that can be used in geography lessons. It includes platforms to view and manipulate data like ArcExplorer and Google Earth, as well as interactive mapping sites from organizations like Geoscience Australia and National Geographic. The list also covers remote sensing sources like satellite imagery from NASA and the USGS that allow students to analyze changes in the earth's surface over time.
The document discusses how geospatial tools and solutions are revolutionizing the petroleum industry. It describes how Esri software provides capabilities for data integration, analysis, display, and access across organizations and networks to support workflows in exploration, production, and distribution. Esri is working with industry partners and users to develop data models and standards to facilitate interoperable data sharing globally through its g.net architecture.
NOAA collects over 20 terabytes of environmental data daily from various sources like satellites and weather stations, but only a small portion is accessible publicly. To address this, NOAA partnered with Amazon, Google, IBM, Microsoft and others through a Big Data Project to explore making more data available on their cloud platforms. This would allow private companies to develop new products and services using NOAA data and generate additional value. Initial datasets being released include radar and satellite imagery to demonstrate this proof of concept, with the goal of releasing more datasets over time like additional satellite data.
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataEsri
The Royal Australian Navy's Hydrography, Meteorology and Oceanography Branch is responsible for collecting, managing, analyzing, and disseminating meteorological and oceanographic data to enable defense users to properly consider environmental impacts. This data comes in large volumes and various formats. Using ArcGIS for Server and custom scripts, the branch can serve this data as OGC web services, including nautical charts and bathymetry as WMS and netCDF weather data as WMS and WCS. This allows for rapid analysis and dissemination of data to gain knowledge of the battlespace and environment.
This document discusses a workflow for managing bathymetric data using Esri's ArcGIS software in partnership with IVS 3D. It allows hydrographic surveyors to directly import bathymetric data collected using multibeam sonar systems into a GIS environment. This integration streamlines the data management process, enabling users to map ocean floors, perform analysis and visualization, and update nautical charts more efficiently. It also supports the development of marine spatial data infrastructures.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
2. LANDFIRE LANDFIRE data products include layers of vegetation composition and structure, surface and canopy fuel characteristics, and historical fire regimes.
4. LANDFIRE Data Access Tool The LANDFIRE Data Access Tool is an ArcGIS toolbar developed by the Rocky Mountain Research Station and distributed by the National Interagency Fuels Technology Team. The tool allows users to interact with the LANDFIRE data distribution site ( The National Map LANDFIRE ) and download LANDFIRE data directly from ArcMap.
5. Additionally, four raster functions are included with the tool: Reproject Raster with options to specify resampling methods, output extent, and nodata values. Build LCP creates a FARSITE landscape (LCP) file from a set of input rasters. LCP to ArcGrids disassembles a FARSITE LCP file back to the original input layers in ArcGrid format. Attach DBF to ArcGrid VAT joins the .dbf file created with the Smart Assembler to the attribute table in a corresponding GRID.
7. The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) provides a variety of products including the Forest and Range Assessment, a detailed report on California’s forests and rangelands. FRAP provides extensive technical and public information for statewide fire threat, fire hazard, watersheds, socio-economic conditions, environmental indicators, and forest-related climate change. Much of this information involves Geographic Information System (GIS) analysis, tables, maps, data and calculation tools that are available on this website.
8. Download and explore: Administrative boundaries, Fire Hazard Severity Zones, Historic Fire Perimeters, Agency Responsibility Areas and more.
10. Types of data available: Hydro Units, Topo images, Quad indexes, Elevation data, Ortho imagery, Geographic Names, Land Use / Land Cover, Soils, Climate.
11. National Digital Forecast Database (NDFD) from the National Weather Service As the foundation of the NWS Digital Services Program, the National Digital Forecast Database (NDFD) consists of gridded forecasts of sensible weather elements (e.g., cloud cover, maximum temperature). NDFD contains a seamless mosaic of digital forecasts from NWS field offices
12. Download gridded weather data via: ‘tkdegrib’ client or Web Services to various GIS softwares or Google Earth network link.
13. OpenStreetMap OpenStreetMap creates and provides free geographic data such as street maps to anyone who wants them. The project was started because most maps you think of as free actually have legal or technical restrictions on their use, holding back people from using them in creative, productive, or unexpected ways.
14. Map is fully editable, downloadable and convertable FOR ANYONE!