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TwitterThe Spatiotemporal Big Data Store Tutorial introduces you the the capabilities of the spatiotemporal big data store in ArcGIS Data Store, available with ArcGIS Enterprise. Observation data can be moving objects, changing attributes of stationary sensors, or both. The spatiotemporal big data store enables archival of high volume observation data, sustains high velocity write throughput, and can run across multiple machines (nodes). Adding additional machines adds capacity, enabling you to store more data, implement longer retention policies of your data, and support higher data write throughput.
After completing this tutorial you will:
Understand the concepts and best practices for working with the spatiotemporal big data store available with ArcGIS Data Store. Have configured the appropriate security settings and certificates on a enterprise server, real-time server, and a data server which are necessary for working with the spatiotemporal big data store. Have learned how to process and archive large amounts of observational data in the spatiotemporal big data store. Have learned how to visualize the observational data that is stored in the spatiotemporal big data store.
Releases
Each release contains a tutorial compatible with the version of GeoEvent Server listed. The release of the component you deploy does not have to match your version of ArcGIS GeoEvent Server, so long as the release of the component is compatible with the version of GeoEvent Server you are using. For example, if the release contains a tutorial for version 10.6; this tutorial is compatible with ArcGIS GeoEvent Server 10.6 and later. Each release contains a Release History document with a compatibility table that illustrates which versions of ArcGIS GeoEvent Server the component is compatible with.
NOTE: The release strategy for ArcGIS GeoEvent Server components delivered in the ArcGIS GeoEvent Server Gallery has been updated. Going forward, a new release will only be created when
a component has an issue,
is being enhanced with new capabilities,
or is not compatible with newer versions of ArcGIS GeoEvent Server.
This strategy makes upgrades of these custom
components easier since you will not have to
upgrade them for every version of ArcGIS GeoEvent Server
unless there is a new release of
the component. The documentation for the
latest release has been
updated and includes instructions for updating
your configuration to align with this strategy.
Latest
Release 4 - February 2, 2017 - Compatible with ArcGIS GeoEvent Server 10.5 and later.
Previous
Release 3 - July 7, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.
Release 2 - May 17, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.
Release 1 - March 18, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.
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TwitterThis feature layer contains detailed polygon and point data that represent various rock locations, rock outcrops and quads based on the USGS quad index for Joshua Tree National Park. The rock locations are point data that denote specific rock formations and climbing areas throughout the park. The rock outcrops polygon data highlight the larger rock outcrops, which are significant both for climbing and for understanding the geological landscape of the park. The USGS Quad Index is obtained from the USGS GIS datastore and provides a structured, well known framework for identifying and locating these geologic features accurately. The data was created in 2018 and has been maintained by Joshua Tree National Park GIS personnel.The corresponding NPS DataStore on Integrated Resource Management Applications (IRMA) reference is Climbing Quads at Joshua Tree National Park and Climbing Management Plan: Rock-Based Recreation in Joshua Tree National Park
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TwitterIntroductionIRWIN ArcGIS Online GeoPlatform Services The Integrated Reporting of Wildland-Fire Information (IRWIN) Production data is replicated every 60 seconds to the ArcGIS Online GeoPlatform organization so that read-only views can be provided for consumers. This replicated view is called the hosted datastore. The “IRWIN Data” group is a set of Feature Layer views based on the replicated IRWIN layers. These feature layers provide a near real-time feed of all valid IRWIN data. All incidents that have been shared through the integration service since May 20, 2014 are available through this service. The incident data provides the location of existing fires, size, conditions and several other attributes that help classify fires. The IRWIN Data service allows users to create a web map, share it with their organization, or pull it into ArcMap or ArcGIS Pro for more in-depth analysis.InstructionsTo allow the emergency management GIS staff to join the IRWIN Data group, they will need to set up an ArcGIS Online account through our account manager. Please send the response to Samantha Gibbes (Samantha.C.Gibbes@saic.com) and Kayloni Ahtong (kayloni_ahtong@ios.doi.gov). Use the below template and fill in each part as best as possible, where the point of contact (POC) is the person responsible for the account.Reply Email Body: The (name of application) application requests the following user account and access to the IRWIN Data group.POC Name: First name Last name and titlePOC Email: Username: <>_irwin (choose a username, something short, followed by _irwin)Business Justification: Once you are set up with the account, I will coordinate a call to go over any questions.
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TwitterAs Esri’s commercial partner for parcel data, Regrid invites you to enjoy this free tile layer of parcel boundaries covering 100% of the United States. Complete parcel attributes are also available from an integrated Data Store."I think it’s fantastic that this layer exists. It's really helpful for my staff to see parcel boundaries in a quick and accessible layer."- Kate Berg, Geographic Information Systems (GIS) Manager | Department of Environment, Great Lakes, and EnergyVisit the Regrid Data Store for the ArcGIS User CommunityHassle-Free Parcel Data for Esri UsersWhen you click a parcel in the tile layer, you will see its address, size, and parcel ID number, along with a convenient link to purchase additional parcel attributes in The Regrid Data Store for the ArcGIS User Community. Once in the Data Store, you can purchase and download parcel files with attributes by the county and state for use in ArcGIS, as well as our add-on datasets like standardized zoning, matched building footprints, and matched secondary addresses.See regrid.com/esri for all of Regrid’s parcel products for the Esri ecosystem, including Feature Service delivery for ongoing parcel updates at scale.Key Features of Regrid's Parcel DataSourced & Standardized: Data combines authoritative public sources & third-party enrichments, aggregated, standardized, and matched by the Regrid team.158+ Million Parcel Records: Covering all 3,200+ US counties and territories.143+ Standardized Data Fields: Including geometry, ownership, buildings, secondary addresses, land use, and zoning.Universal Parcel ID & Placekey Location Identifier: Ensuring precise identification and integration.Detailed Attributes: Tax assessments, building counts, square footage, stacked parcels (condos), right-of-way, vacancy indicators and USPS deliverability. Comprehensive Coverage: 100% land parcel coverage across the US.Parcel Data Resources & DocumentationRegrid Data Dictionary / Parcel Data SchemaRegrid Coverage ReportParcel Data FAQsThank you to all the GIS professionals, state, county and federal officials, assessors, recorders, and public officials across the country who maintain the nation's parcel data and infrastructure.
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TwitterThis feature layer contains detailed polygon and point data that represent various rock locations, rock outcrops and quads based on the USGS quad index for Joshua Tree National Park. The rock locations are point data that denote specific rock formations and climbing areas throughout the park. The rock outcrops polygon data highlight the larger rock outcrops, which are significant both for climbing and for understanding the geological landscape of the park. The USGS Quad Index is obtained from the USGS GIS datastore and provides a structured, well known framework for identifying and locating these geologic features accurately. The data was created in 2018 and has been maintained by Joshua Tree National Park GIS personnel.The corresponding NPS DataStore on Integrated Resource Management Applications (IRMA) reference is Climbing Quads at Joshua Tree National Park and Climbing Management Plan: Rock-Based Recreation in Joshua Tree National Park
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TwitterNational Parks within Kodiak Island Borough; mapped based on maps, data and information sourced from the National Park Service and Kodiak Island Borough; original data sourced from: https://irma.nps.gov/DataStore/Reference/Profile/2224545?lnv=True
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TwitterGapMaps GIS Data by Azira provides actionable insights on consumer travel patterns at a global scale empowering Marketing and Operational Leaders to confidently reach, understand, and market to highly targeted audiences and optimize their business results.
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TwitterThe National Parks dataset is frequently updated by the National Park Service (NPS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset depicts National Park Service boundary data that was created by the Land Resources Division. NPS Director's Order #25 states: "Land status maps will be prepared to identify the ownership of the lands within the authorized boundaries of the park unit. These maps, showing ownership and acreage, are the 'official record' of the acreage of Federal and non-federal lands within the park boundaries. While these maps are the official record of the lands and acreage within the unit's authorized boundaries, they are not of survey quality and not intended to be used for survey purposes." As such this data is intended for use as a tool for GIS analysis. It is in no way intended for engineering or legal purposes. For the full data description, please go to https://irma.nps.gov/DataStore/Reference/Profile/2224545?lnv=True. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529046
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TwitterGapMaps curates up-to-date and high-quality GIS Data tracking store openings and closures for leading retail brands across Asia and MENA. Get the insights you need to make more accurate and informed business decisions.
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TwitterGapMaps Live is a simple to use location intelligence platform available in over 25 countries globally which allows you to visualise your own data integrated with the best GIS data available so your team can make faster, smarter and more confident retail location decisions.
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TwitterGapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent GIS data at 150m grid levels across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential.
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TwitterGapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets at 150m grid levels across Saudi Arabia. Understand who lives in a catchment, where they work and their spending potential.
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TwitterThis is a vector line showing the approximate designated route of the El Camino Real de Tierra Adentro national historic trail. The coordinates for this data set were generally heads-up digitized at a scale of 1:100,000 (or larger) off of a series of planning maps and DRGs using a variety of GIS software packages. The purpose of this feature service is to show the location of the Designated Route of the El Camino Real de Tierra Adentro national historic trail. This data set represents a continuous representation of the trail as depicted in the Comprehensive Management Plan. The NHT alignment was identified before ground-verification could occur and consequently the designated trail does not always coincide with historic trail trace. This trail is not accessible nor developed for the entire length depicted in this data set. Do not cross private land without permission. The intended use of all data in the trail GIS library is to support diverse trail activities including planning, management, maintenance, research, and interpretation.To view additional metadata or data type downloads, please visit the National Park Service, Integrated Resource Management Application (IRMA) website: https://irma.nps.gov/DataStore/Reference/Profile/2238908 or the NPS ArcGIS OpenData Portal website: National Park Service : ELCA National Historic Trail Designated Route (arcgis.com)
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TwitterGapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic data at 150m grids across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential.
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Twitterhttps://www.nps.gov/gis/liability.htmhttps://www.nps.gov/gis/liability.htm
Day 3 example route for field tour performed by the the Sierra Nevada Network Inventory and Monitoring Program in Sequoia National Park. Sites include photos and descriptions of locations or activities that the crew experiences. Routes available for Day 1, Day 3, and Day 6.Feature Layer intended for use in: Monroe M and Eddy A. 2020. Clear Waters: Join a Field Crew to Track Change in Sierra Nevada Lakes. Found at https://irma.nps.gov/DataStore/Reference/Profile/2271901. National Park Service, Fort Collins, CO.For additional information, please see: Heard AM and Others. 2012. Sierra Nevada Network Lake Monitoring Protocol: Protocol Narrative. Natural Resource Report. NPS/SIEN/NRR—2012/551. National Park Service. Fort Collins, Colorado (https://irma.nps.gov/DataStore/Reference/Profile/2186803)
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TwitterThis is a vector line showing the approximate designated route of the Oregon national historic trail. The coordinates for this data set were generally heads-up digitized at a scale of 1:100,000 (or larger) off of a series of planning maps and DRGs using a variety of GIS software packages. The purpose of this feature service is to show the location of the Designated Route of the Oregon national historic trail. This data set represents a continuous representation of the trail as depicted in the Comprehensive Management Plan. The NHT alignment was identified before ground-verification could occur and consequently the designated trail does not always coincide with historic trail trace. This trail is not accessible nor developed for the entire length depicted in this data set. Do not cross private land without permission. The intended use of all data in the trail GIS library is to support diverse trail activities including planning, management, maintenance, research, and interpretation. To view additional metadata and to download the shapefile, please visit the National Park Service, Integrated Resource Management Application (IRMA) website: https://irma.nps.gov/DataStore/Reference/Profile/2238911
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Twitterhttps://www.nps.gov/gis/liability.htmhttps://www.nps.gov/gis/liability.htm
Day 6 example points of interest for field tour performed by the the Sierra Nevada Network Inventory and Monitoring Program in Sequoia National Park. Sites include photos and descriptions of locations or activities that the crew experiences. Sites available for Day 1, Day 3, and Day 6.Feature Layer intended for use in: Monroe M and Eddy A. 2020. Clear Waters: Join a Field Crew to Track Change in Sierra Nevada Lakes. Found at https://irma.nps.gov/DataStore/Reference/Profile/2271901. National Park Service, Fort Collins, CO.For additional information, please see: Heard AM and Others. 2012. Sierra Nevada Network Lake Monitoring Protocol: Protocol Narrative. Natural Resource Report. NPS/SIEN/NRR—2012/551. National Park Service. Fort Collins, Colorado (https://irma.nps.gov/DataStore/Reference/Profile/2186803)
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TwitterSequoia and Kings Canyon Public Park Atlas: Visiting the Parks. The Visiting the Parks feature service contains map layers displayed in the public facing Park Atlas for Sequoia and Kings Canyon National Parks related to visitor services. Specifically, browse basic information to get oriented and plan your next road trip. Learn about the shuttle system and view locations of visitor centers, campgrounds, and overlooks. This data was originally published 7/27/2015, but is updated periodically to reflect current conditions. The data were last updated July 9, 2025. While this data is intended to help orient members of the public, visitors should still visit the official webpage for the parks at Sequoia & Kings Canyon National Parks (U.S. National Park Service) to get additional information and alerts for conditions which may impact the visitor experience.For more information about this data, see its DataStore record at: DataStore - Sequoia and Kings Canyon National Parks AtlasFor more information about the Park Atlas, see its DataStore record at: DataStore - Park Atlas for Sequoia and Kings Canyon National Parks (SEKI).
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Twitterhttps://www.nps.gov/gis/liability.htmhttps://www.nps.gov/gis/liability.htm
This map depicts example algae sampling and experiment sites at the lake at Kern Point in Sequoia National Park. Sites including photos and descriptions of activities that may be part of a typical algae survey performed by the Sierra Nevada Network Inventory and Monitoring Program. Sites represent examples of activities that may be part of an algae survey and are not intended to represent actual sites used in real sampling or experiments. Not all photos included in these data points were taken at Kern Point.Map intended for use in: Monroe M and Eddy A. 2020. Clear Waters: Join a Field Crew to Track Change in Sierra Nevada Lakes. Found at https://irma.nps.gov/DataStore/Reference/Profile/2271901. National Park Service, Fort Collins, CO.For additional information, please see: Heard AM and Others. 2012. Sierra Nevada Network Lake Monitoring Protocol: Protocol Narrative. Natural Resource Report. NPS/SIEN/NRR—2012/551. National Park Service. Fort Collins, Colorado (https://irma.nps.gov/DataStore/Reference/Profile/2186803)
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TwitterSequoia and Kings Canyon Public Park Atlas: Fire. The Fire feature service contains map layers displayed in the public facing Park Atlas for Sequoia and Kings Canyon National Parks related to wild and managed fire in the parks. Natural fires and prescribed burns are critical to local ecosystems and play an important role in maintaining the health of Sequoia groves. You can browse fire history and frequency. This data was originally published 6/15/2016, but is updated periodically to reflect current conditions. The data were last updated 4/27/2024. While this data is intended to help orient members of the public, visitors should still visit the official webpage for the parks at Sequoia & Kings Canyon National Parks (U.S. National Park Service) to get additional information and alerts for conditions which may impact the visitor experience.For more information about this data, see its DataStore record at: DataStore - Sequoia and Kings Canyon National Parks AtlasFor more information about the Park Atlas, see its DataStore record at: DataStore - Park Atlas for Sequoia and Kings Canyon National Parks (SEKI).
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TwitterThe Spatiotemporal Big Data Store Tutorial introduces you the the capabilities of the spatiotemporal big data store in ArcGIS Data Store, available with ArcGIS Enterprise. Observation data can be moving objects, changing attributes of stationary sensors, or both. The spatiotemporal big data store enables archival of high volume observation data, sustains high velocity write throughput, and can run across multiple machines (nodes). Adding additional machines adds capacity, enabling you to store more data, implement longer retention policies of your data, and support higher data write throughput.
After completing this tutorial you will:
Understand the concepts and best practices for working with the spatiotemporal big data store available with ArcGIS Data Store. Have configured the appropriate security settings and certificates on a enterprise server, real-time server, and a data server which are necessary for working with the spatiotemporal big data store. Have learned how to process and archive large amounts of observational data in the spatiotemporal big data store. Have learned how to visualize the observational data that is stored in the spatiotemporal big data store.
Releases
Each release contains a tutorial compatible with the version of GeoEvent Server listed. The release of the component you deploy does not have to match your version of ArcGIS GeoEvent Server, so long as the release of the component is compatible with the version of GeoEvent Server you are using. For example, if the release contains a tutorial for version 10.6; this tutorial is compatible with ArcGIS GeoEvent Server 10.6 and later. Each release contains a Release History document with a compatibility table that illustrates which versions of ArcGIS GeoEvent Server the component is compatible with.
NOTE: The release strategy for ArcGIS GeoEvent Server components delivered in the ArcGIS GeoEvent Server Gallery has been updated. Going forward, a new release will only be created when
a component has an issue,
is being enhanced with new capabilities,
or is not compatible with newer versions of ArcGIS GeoEvent Server.
This strategy makes upgrades of these custom
components easier since you will not have to
upgrade them for every version of ArcGIS GeoEvent Server
unless there is a new release of
the component. The documentation for the
latest release has been
updated and includes instructions for updating
your configuration to align with this strategy.
Latest
Release 4 - February 2, 2017 - Compatible with ArcGIS GeoEvent Server 10.5 and later.
Previous
Release 3 - July 7, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.
Release 2 - May 17, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.
Release 1 - March 18, 2016 - Compatible with ArcGIS GeoEvent Server 10.4 thru 10.8.