Integrated geospatial infrastructure is the modern pattern for connecting organizations across borders, jurisdictions, and sectors to address shared challenges. Implementation starts with a strategy, followed by the pillars of collaborative governance, data and technology, capacity building, and engagement. It is inherently multi-organizational.Whether you call your initiative Open Data, Regional GIS, Spatial Data Infrastructure (SDI), Digital Twin, Knowledge Infrastructure, Digital Ecosystem, or otherwise, collaboration is key.This guide shares good practices for new and existing ArcGIS Administrators to get the most out of your 'OneMap' Hub. See also the complimentary Configure ArcGIS Online: 'OneMap' Good Practices and 'OneMap' Hub Template How-To Guide.

The ArcGIS INSPIRE Open Data solution is designed for European public data authorities to publish, share, and use streamlined INSPIRE data and services as open data. This story map describes the capabilities provided in the solution and how you can leverage these capabilities in your organization.When the INSPIRE community started talking about simplifying and mainstreaming technical requirements, we saw an exciting opportunity to look at INSPIRE in a modern context. INSPIRE Open Data supports the European Strategy for Data. It makes INSPIRE data easier to use through Alternative Encodings and helps you apply FAIR data principles (findable, accessible, interoperable, and reusable) consistent with the PSI-2/Open Data Directive.

Integrated geospatial infrastructure is the modern pattern for connecting organizations across borders, jurisdictions, and sectors to address shared challenges. Implementation starts with a strategy, followed by the pillars of collaborative governance, data and technology, capacity building, and engagement. It is inherently multi-organizational. Whether you call your initiative Open Data, Regional GIS, Spatial Data Infrastructure (SDI), Digital Twin, Knowledge Infrastructure, Digital Ecosystem, or otherwise, collaboration is key.This guide shares good practices to share and collaborate among multiple partners in your OneMap initiative. You’ll learn to create a great group-sharing experience for your contributing partners, invite partners to groups, index groups to your Hub, and populate your OneMap Contributors page with category cards.

Data describing clean growth and climate change projects that have received federal funding since 2015 that feeds into the Climate Action Map. The data include projects that meet Mitigation, Adaptation and Clean Technology objectives. The data include project names and descriptions, funding information, locations, and recipients.Additional Resources:Climate action webmapResource page Update Frequency: As Needed

Cities have gotten creative with map-based apps and dashboards to connect citizens to food, and help small businesses get the word out about available services.Key TakeawaysFamilies find resources using local maps of food banks and school district distribution centers.Local businesses benefit from interactive maps showing residents available services for delivery and take out.With volatile grocery store inventory, shoppers rely on crowdsourced maps to know what’s in stock._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Integrated geospatial infrastructure is the modern pattern for connecting organizations across borders, jurisdictions, and sectors to address shared challenges. Implementation starts with a strategy, followed by the pillars of collaborative governance, data and technology, capacity building, and community engagement. It is inherently multi-organizational. Whether you call your initiative Open Data, Regional GIS, Spatial Data Infrastructure (SDI), Digital Twin, Knowledge Infrastructure, Digital Ecosystem, or otherwise, collaboration is key.This guide provides a starting point for inspiration. It introduces geospatial infrastructure concepts and patterns, ArcGIS as a system, and offers local to multi-national examples of these patterns in practice. Subsequent guides in this collection share good practices to assist with implementation.

This data shows all of the land use structure for Loudoun County. Published weekly.

More detailed (than standard ESRI GIS) mapping data for the world

The Business Guide application can be used by the general public to locate the nearest restaurant, supplies, or other service.

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here Stations containing prime movers, electric generators, and auxiliary equipment for converting mechanical, chemical into electric energy with an installed capacity of 1 Megawatt or more generated from renewable energy, including biomass, hydroelectric, pumped-storage hydroelectric, geothermal, solar, wind, and tidal.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States. The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. Maintenance and Update Frequency: As NeededFor more information visit Renewable Energy Power Plants

The Digital Geologic-GIS Map of Santa Rosa Island, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sris_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sris_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sris_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sris_geology_metadata_faq.pdf). Please read the chis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sris_geology_metadata.txt or sris_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The downloadable ZIP file contains both Esri shapefiles and KMZ files.The Lapwai Creek watershed planning layers dataset was compiled as part of a watershed planning effort for the Lapwai Creek watershed in Nez Perce and Lewis Counties, Idaho. The 174,600 acre watershed is a priority for steelhead habitat restoration.These data layers are part of a larger spatial data set used for the development of the 2009 Lapwai Creek Ecological Restoration Strategy. This strategy focuses on steelhead habitat restoration within the watershed. The planning effort was conducted jointly by the Nez Perce Tribe and the Nez Perce Soil and Water Conservation District. The planning effort was funded by the Bonneville Power Administration through their Fish and Wildlife program.The data set contains both shapefiles and KMZ files for use in GIS software and Google Earth applications.The data sets included in this release are described below. As data sets are processed and time and resources allow, additional releases will be published. Lapwai Creek 300 ft BufferData set is a 300 foot stream buffer along streams within the Lapwai Creek watershed near Lapwai, Idaho. Layer developed by Dash Dieringer and Lynn Rasmussen, Nez Perce Soil and Water Conservation District. September 2007.Lapwai Creek 500 ft BufferData set is a 500 foot stream buffer along streams within the Lapwai Creek watershed near Lapwai, Idaho. Layer developed by Dash Dieringer and Lynn Rasmussen, Nez Perce Soil and Water Conservation District. September 2007.Hydric SoilsData generated from USDA Natural Resources Conservation Service Soil survey, using the soil attribute for hydric rating. Hydric soils were selected and clipped to the boundary for the assessment units within the watershed. The data layer was developed by the Dash Dieringer and Lynn Rasmussen, Nez Perce Soil and Water Conservation District, Culdesac, Idaho. August 2007. MUSYM = soil number as assigned in the Nez Perce /Lewis Soil Survey (USDA Natural Resources Conservation Service). There are 13 assessment units within the watershed. Data is organized by assessment unit boundary.Hydric soils are formed under water saturation, flooding or ponding which occurs for a long enough period of a growing season to develop anaerobic conditions. The hydric soils rating was used for the watershed planning process to identify geographic areas with water saturation and potential wetlands.Assessment UnitsLapwai Creek watershed assessment units developed for use in the watershed plan. 13 assessment units were defined by juvenile steelhead density and distribution breaks. Steelhead density data was collected by the Nez Perce Tribe. Assessment Unit shape delineation and geospatial processing was completed by Dash Dieringer and Lynn Rasmussen, Nez Perce Soil and Water Conservation District. Culdesac, Idaho. August 2007.RoadsLapwai Creek watershed roads spatial data are categorized by surface type: dirt, gravel, paved. Data was obtained from Nez Perce County and clipped to the watershed boundary. geospatial processing was completed by Nikki Lane and Lynn Rasmussen, Nez Perce Soil and Water Conservation District. Culdesac, Idaho. 2012These data were contributed to INSIDE Idaho at the University of Idaho Library in 2015 & 2016.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Greenhouse Gas Reporting Program ensures that greenhouse gas emissions from Canada's largest emitters are measured and reported. This mandatory reporting contributes to the development, implementation and evaluation of climate change and energy policies and strategies in Canada. Greenhouse gas emissions data reported through the Greenhouse Gas Reporting Program are used, where appropriate, to confirm the reasonableness of estimates of greenhouse gas emissions in Canada in the National Inventory Report. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.The latest reporting year (2021) coincides with the second year of the COVID-19 pandemic, which affected a wide range of industrial sectors. The results must be interpreted in the context of the pandemic impacting facility operations in 2020 and 2021 to some extent (for example, production slow-downs and reduced demand) but other non-pandemic related factors also contributed to observed emission changes (such as, lower coal consumption and fuel switching).For more information: Greenhouse gas reporting: facilitiesGreenhouse gas emissions from large facilities

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Water quantity in Canadian rivers indicators provide information about the state of the amount of surface water in Canada and its change through time to support water resource management. They are used to provide information about the state and trends in water quantity in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. See Local Water quantity in Canadian rivers - Water quantity at monitoring stations, Canada for more information on data formats, interactive indicator map, web services, and contact information.

Aurora:GeoStudio® is a premier geospatial analysis platform that excels in supporting foot traffic data through its sophisticated Population Dynamics® analytic. Foot traffic data encompasses information about the number of people visiting specific locations or establishments, providing deep insights into customer behavior, patterns, and trends. This data is crucial for businesses looking to understand their audience and make data-driven decisions.

Core Features:

  1.    Data Collection Methods:
  •    Passive Sensors: Aurora:GeoStudio® integrates data collected from passive sensors deployed at various locations. These devices count the number of visitors, track their movement paths, and record the duration of their visits.
  •    Mobile Devices: The platform also leverages data from mobile devices, providing additional insights into foot traffic patterns through location-based services and applications.
  2.    Population Dynamics® Analytic:
  •    Aurora:GeoStudio®’s Population Dynamics® analytic processes foot traffic data to deliver comprehensive insights. This analytic tool helps visualize and understand visitor behavior, peak visiting times, and movement trends within specific areas.
  3.    Visualization and Mapping:
  •    The platform offers advanced visualization capabilities, displaying foot traffic data on customizable maps from providers like Google, Esri, Open, and Stamen. These visualizations help users understand spatial patterns and relationships, facilitating informed decision-making.

Applications:

  1.    Customer Behavior Analysis:
  •    Businesses can analyze foot traffic data to understand customer behavior, such as the number of visitors, the duration of their visits, and the paths they take within an establishment. This information is crucial for tailoring services and improving customer satisfaction.
  2.    Store Layout Optimization:
  •    Foot traffic data helps businesses optimize store layouts by identifying high-traffic areas and bottlenecks. By understanding how customers move through a space, businesses can rearrange products and displays to enhance flow and maximize sales opportunities.
  3.    Marketing Strategy Enhancement:
  •    Aurora:GeoStudio® enables businesses to refine their marketing strategies by providing insights into peak visiting times and customer demographics. This data supports targeted marketing campaigns, ensuring promotions reach the right audience at the right time.
  4.    Operational Efficiency:
  •    Understanding foot traffic patterns allows businesses to optimize staffing levels, manage inventory more effectively, and improve overall operational efficiency. By aligning resources with actual customer demand, businesses can enhance service delivery and reduce costs.
  5.    Urban Planning and Public Spaces:
  •    Foot traffic data is invaluable for urban planners and managers of public spaces. It helps in designing public areas that accommodate pedestrian flow efficiently and ensures that amenities are accessible and well-placed.

Aurora:GeoStudio®’s support for foot traffic data through the Population Dynamics® analytic offers businesses and urban planners a powerful tool for understanding and optimizing visitor behavior. By leveraging data from sensors, cameras, and mobile devices, the platform provides detailed insights into customer movements and trends. These insights enable businesses to enhance their marketing strategies, optimize store layouts, and improve operational efficiency. For urban planners, foot traffic data facilitates the design of more effective and accessible public spaces. Aurora:GeoStudio®’s advanced features empower users to make informed decisions and achieve a comprehensive understanding of foot traffic dynamics, leading to better strategic outcomes.

This GIS data package contains airborne electromagnetic (AEM) datasets and interpreted data products for the Lindsay-Wallpolla and Lake Victoria-Darling Anabranch survey area, as part of the River Murray Corridor (RMC) Salinity Mapping and Interpretation Project. The RMC project was undertaken between 2006 and 2010 to provide information on a range of salinity and land management issues along a 450 kilometre reach of the Murray River from the South Australian border to Gunbower, northwest of Echuca in Victoria. The Lindsay-Wallpolla survey area extends from the South Australian border to approximately 10 kilometres west of Mildura, incorporating Lake Victoria and the lower reaches of the Darling and Darling Anabranch river systems. This metadata briefly describes the contents of the data package. The user guide included in the package contains more detailed information about the individual datasets and available technical reports. The main components in the package are: AEM data and images derived from a holistic inversion of the RMC RESOLVE AEM survey; a composite digital elevation model (DEM); a range of interpreted data products designed to map key elements of the hydrogeological system and salinity hazard; and a series of ESRI ArcGIS map documents. The AEM data component consists of grids and images of modelled conductivity data derived from a holistic inversion of the RMC RESOLVE AEM survey. They include: layer conductivity grids below ground surface; depth slice grids representing the average conductivity of various regular depth intervals below ground surface; floodplain slice grids representing the average conductivity of various depth intervals relative to the elevation above or below a surface that approximates the River Murray floodplain; watertable slice grids representing the average conductivity of various intervals relative to the elevation above or below the regional watertable; and AEM cross sections of conductivity versus depth along each of the flight lines. The holistic inversion AEM data are derived from the 'River Murray Corridor RESOLVE AEM Survey, VIC & NSW, 2007 Final Data (P1141)', available as GA product (GeoCat #67212). The DEM data component consists of a 10 metre resolution composite DEM for the River Murray Corridor AEM Survey area, derived from airborne light detection and ranging (LiDAR) surveys, AEM surveys and the shuttle radar topography mission (SRTM) survey. The interpreted data component is organised into product themes to address salinity and land management questions and to map key elements of the hydrogeological system and salinity hazards. An ArcGIS map document is included for each product theme. The products include: Blanchetown Clay; conductive soils; flush zones; groundwater conductivity; strategic extents and reliability; near surface conductive zones; near surface resistive zones; Parilla Sands; Quaternary alluvium; recharge; salt store; surface salt; vegetation health; and Woorinen Formation. The RMC project was funded through the National Action Plan for Salinity and Water Quality, with additional funding from the Lower Murray Catchment Management Authority (CMA), Mallee CMA, Goulburn-Murray Water and the Murray-Darling Basin Authority. The project was administered by the Australian Government Department of Agriculture, Fisheries and Forestry through the Bureau of Rural Sciences, now known as the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). Geoscience Australia (GA) were contracted to provide geophysical services to manage the AEM system selection and data acquisition, and to process and calibrate the AEM data. The AEM survey was flown by Fugro Airborne Geophysical Services in 2007 using the helicopter-borne RESOLVE frequency domain system. The Cooperative Research Centre for Landscape Environments and Mineral Exploration was sub-contracted through GA to manage the interpretation and reporting component of the RMC project.

Species At Risk Act (SARA) describes Critical Habitat (CH) as the habitat that is necessary for the survival or recovery of a listed wildlife species (schedule 1), and that is identified as the species’ critical habitat in a recovery strategy or in an action plan for the species. CH spatial data exists for 116 of the 469 Environment Canada – Species At Risk (EC SAR) of interest, which includes draft, candidate, proposed and final CH spatial data that were provided by CWS regional offices. In order to protect sensitive CH information, or for some sharing data issues, CH sites were generalized using a 10km x 10km national grid. As mentioned before, each region provides NCR-CWS with their CH spatial data. After the generalization process, all results were merged to constitute the national view.See Open Government Portal for more metadata, additional formats and contact information on this dataset.

The North America Surface Water Values point dataset contains the current water level and stream flow values as recorded by Canadian and USA hydrometric gauging station locations. Daily values are recorded as well as comparisons with historical measurements, including difference in values from the previous day, the mean level for that calendar date, the annual mean water level, and maximum and minumum recorded levels. Percentile values based on historical average for both water level and stream flow are also included. Real-time gauging station data for Canada is available here: https://wateroffice.ec.gc.ca/search/statistics_e.html Real-time gauging station data for the United States is available here: https://waterservices.usgs.gov/rest/Statistics-Service.htmlVisit Open Government - North America Surface Water Values for more information, contacts, formats and metadata.

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 17th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. The National Hydro Network (NHN) focuses on providing a quality geometric description and a set of basic attributes describing Canada's inland surface waters. It provides geospatial digital data compliant with the NHN Standard such as lakes, reservoirs, watercourses (rivers and streams), canals, islands, drainage linear network, toponyms or geographical names, constructions and obstacles related to surface waters, etc. The best available federal and provincial data are used for its production, which is done jointly by the federal and interested provincial and territorial partners. The NHN is created from existing data at the 1:50 000 scale or better. In particular, the modeling work of the NHN was based in part on Linear Reference System (LRS) concepts. This approach allows the management of geometric representation separately from attribute information (referred to as event in LRS). Unique Identifiers are associated with each geometric and event object. These IDs (called National Identifiers - NIDs) will lead to more efficient management of updates between data producers and data users. The NHN data have a great potential for analysis, cartographic representation and display and will serve as base data in many applications. The NHN Work Unit Limits were created based on Water Survey of Canada Sub-Sub-Drainage Area. Additional information, including documentation and pre-packaged file downloads are available on Canada's Open Government website: https://open.canada.ca/data/en/dataset/a4b190fe-e090-4e6d-881e-b87956c07977