6 datasets found
  1. a

    Legacy Shaded Relief from LiDAR (Tile Service)

    • hub.arcgis.com
    • geo-massdot.opendata.arcgis.com
    Updated Sep 15, 2021
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    MassGIS - Bureau of Geographic Information (2021). Legacy Shaded Relief from LiDAR (Tile Service) [Dataset]. https://hub.arcgis.com/maps/8418300d72be464189882fc41eaf796e
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    Dataset updated
    Sep 15, 2021
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This shaded relief image was generated from the lidar-based bare-earth digital elevation model (DEM). A shaded relief image provides an illustration of variations in elevation using artificial shadows. Based on a specified position of the sun, areas that would be in sunlight are highlighted and areas that would be in shadow are shaded. In this instance, the position of the sun was assumed to be 45 degrees above the northwest horizon.The shaded relief image shows areas that are not in direct sunlight as shadowed. It does not show shadows that would be cast by topographic features onto the surrounding surface.Using ERDAS IMAGINE, a 3X3 neighborhood around each pixel in the DEM was analyzed, and a comparison was made between the sun's position and the angle that each pixel faces. The pixel was then assigned a value between -1 and +1 to represent the amount of light reflected. Negative numbers and zero values represent shadowed areas, and positive numbers represent sunny areas. In ArcGIS Desktop 10.7.1, the image was converted to a JPEG 2000 format with values from 0 (black) to 255 (white).See the MassGIS datalayer page to download the data as a JPEG 2000 image file.View this service in the Massachusetts Elevation Finder.MassGIS has also published a Lidar Shaded Relief image service from ArcGIS Server.

  2. Overwrite Hosted Feature Services, v2.1.4

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 16, 2019
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    Esri (2019). Overwrite Hosted Feature Services, v2.1.4 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/d45f80eb53c748e7aa3d938a46b48836
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    Dataset updated
    Apr 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    Want to keep the data in your Hosted Feature Service current? Not interested in writing a lot of code?Leverage this Python Script from the command line, Windows Scheduled Task, or from within your own code to automate the replacement of data in an existing Hosted Feature Service. It can also be leveraged by your Notebook environment and automatically managed by the MNCD Tool!See the Sampler Notebook that features the OverwriteFS tool run from Online to update a Feature Service. It leverages MNCD to cache the OverwriteFS script for import to the Notebook. A great way to jump start your Feature Service update workflow! RequirementsPython v3.xArcGIS Python APIStored Connection Profile, defined by Python API 'GIS' module. Also accepts 'pro', to specify using the active ArcGIS Pro connection. Will require ArcGIS Pro and Arcpy!Pre-Existing Hosted Feature ServiceCapabilitiesOverwrite a Feature Service, refreshing the Service Item and DataBackup and reapply Service, Layer, and Item properties - New at v2.0.0Manage Service to Service or Service to Data relationships - New at v2.0.0Repair Lost Service File Item to Service Relationships, re-enabling Service Overwrite - New at v2.0.0'Swap Layer' capability for Views, allowing two Services to support a View, acting as Active and Idle role during Updates - New at v2.0.0Data Conversion capability, able to invoke following a download and before Service update - New at v2.0.0Includes 'Rss2Json' Conversion routine, able to read a RSS or GeoRSS source and generate GeoJson for Service Update - New at v2.0.0Renamed 'Rss2Json' to 'Xml2GeoJSON' for its enhanced capabilities, 'Rss2Json' remains for compatability - Revised at v2.1.0Added 'Json2GeoJSON' Conversion routine, able to read and manipulate Json or GeoJSON data for Service Updates - New at v2.1.0Can update other File item types like PDF, Word, Excel, and so on - New at v2.1.0Supports ArcGIS Python API v2.0 - New at v2.1.2RevisionsSep 29, 2021: Long awaited update to v2.0.0!Sep 30, 2021: v2.0.1, Patch to correct Outcome Status when download or Coversion resulted in no change. Also updated documentation.Oct 7, 2021: v2.0.2, workflow Patch correcting Extent update of Views when Overwriting Service, discovered following recent ArcGIS Online update. Enhancements to 'datetimeUtil' Support script.Nov 30, 2021: v2.1.0, added new 'Json2GeoJSON' Converter, enhanced 'Xml2GeoJSON' Converter, retired 'Rss2Json' Converter, added new Option Switches 'IgnoreAge' and 'UpdateTarget' for source age control and QA/QC workflows, revised Optimization logic and CRC comparison on downloads.Dec 1, 2021: v2.1.1, Only a patch to Conversion routines: Corrected handling of null Z-values in Geometries (discovered immediately following release 2.1.0), improve error trapping while processing rows, and added deprecation message to retired 'Rss2Json' conversion routine.Feb 22, 2022: v2.1.2, Patch to detect and re-apply case-insensitive field indexes. Update to allow Swapping Layers to Service without an associated file item. Added cache refresh following updates. Patch to support Python API 2.0 service 'table' property. Patches to 'Json2GeoJSON' and 'Xml2GeoJSON' converter routines.Sep 5, 2024: v2.1.4, Patch service manager refresh failure issue. Added trace report to Convert execution on exception. Set 'ignore-DataItemCheck' property to True when 'GetTarget' action initiated. Hardened Async job status check. Update 'overwriteFeatureService' to support GeoPackage type and file item type when item.name includes a period, updated retry loop to try one final overwrite after del, fixed error stop issue on failed overwrite attempts. Removed restriction on uploading files larger than 2GB. Restores missing 'itemInfo' file on service File items. Corrected false swap success when view has no layers. Lifted restriction of Overwrite/Swap Layers for OGC. Added 'serviceDescription' to service detail backup. Added 'thumbnail' to item backup/restore logic. Added 'byLayerOrder' parameter to 'swapFeatureViewLayers'. Added 'SwapByOrder' action switch. Patch added to overwriteFeatureService 'status' check. Patch for June 2024 update made to 'managers.overwrite' API script that blocks uploads > 25MB, API v2.3.0.3. Patch 'overwriteFeatureService' to correctly identify overwrite file if service has multiple Service2Data relationships.Includes documentation updates!

  3. m

    Land Cover-Land Use (2016) Map Service

    • gis.data.mass.gov
    Updated May 24, 2019
    + more versions
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    MassGIS - Bureau of Geographic Information (2019). Land Cover-Land Use (2016) Map Service [Dataset]. https://gis.data.mass.gov/datasets/land-cover-land-use-2016-map-service/about
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    Dataset updated
    May 24, 2019
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The statewide dataset contains a combination of land cover mapping from 2016 aerial imagery and land use derived from standardized assessor parcel information for Massachusetts. The data layer is the result of a cooperative project between MassGIS and the National Oceanic and Atmospheric Administration’s (NOAA) Office of Coastal Management (OCM). Funding was provided by the Mass. Executive Office of Energy and Environmental Affairs.

    This land cover/land use dataset does not conform to the classification schemes or polygon delineation of previous land use data from MassGIS (1951-1999; 2005).In this map service layer hosted at MassGIS' ArcGIS Server, all impervious polygons are symbolized by their generalized use code; all non-impervious land cover polygons are symbolized by their land cover category. The idea behind this method is to use both cover and use codes to provide a truer picture of how land is being used: parcel use codes may indicate allowed or assessed, not actual use; land cover alone (especially impervious) does not indicate actual use.

    See the full datalayer description for more details.This map service is best displayed at large (zoomed in) scales. Also available are a Feature Service and a Tile Service (cache). The tile cache will display very quickly in in ArcGIS Online, ArcGIS Desktop, and other applications that can consume tile services.

  4. d

    WCC Solar Radiation

    • catalogue.data.govt.nz
    • hub.arcgis.com
    • +1more
    Updated Oct 7, 2020
    + more versions
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    Wellington City Council (2020). WCC Solar Radiation [Dataset]. https://catalogue.data.govt.nz/dataset/wcc-solar-radiation1
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    arcgis geoservices rest api, html, ogc wmsAvailable download formats
    Dataset updated
    Oct 7, 2020
    Dataset provided by
    Wellington City Council
    Description

    This layer shows the exposure values that buildings have to solar radiation (sun exposure). If you wish to view the layer with the full colour raster overlay, please use the following URL


    To simply view this data you are encouraged to use our existing viewer at: https://wcc.maps.arcgis.com/home/item.html?id=2ecf2294ba314f82bffee7c116c7b88b

  5. COVID 19 Statistics San Diego County

    • sdgis-sandag.opendata.arcgis.com
    Updated Apr 14, 2020
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    San Diego Association of Governments (2020). COVID 19 Statistics San Diego County [Dataset]. https://sdgis-sandag.opendata.arcgis.com/datasets/1fefbb8df33948cba664d0a9cb71b8c9_0/geoservice
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    Dataset updated
    Apr 14, 2020
    Dataset provided by
    San Diego Association Of Governmentshttps://www.sandag.org/
    Authors
    San Diego Association of Governments
    Area covered
    Description

    Notice: Data is preliminary and subject to change. This dataset is updated in the evening on a daily basis. There is a delay in the Esri Hub caching process of between 5 - 10 minutes. Download requests will be queued in your browser prior to execution during the caching process and resume once the data cache is rebuilt.COVID-19 Statistics San Diego CountyData source: County of San Diego, Health and Human Services Agency, Public Health Services, Epidemiology and Immunization Services Branch

  6. a

    Parcels

    • hub.arcgis.com
    • egis-lacounty.hub.arcgis.com
    Updated Jul 21, 2020
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    County of Los Angeles (2020). Parcels [Dataset]. https://hub.arcgis.com/documents/4d67b154ae614d219c58535659128e71
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    Dataset updated
    Jul 21, 2020
    Dataset authored and provided by
    County of Los Angeles
    Description

    File Geodatabase - Click hereShapefile - Click hereThis dataset contains current parcel boundaries and related attributes for approximately 2.4 million parcels maintained by the Los Angeles County Assessor (updated monthly on the second of every month). Due to the size of the data, it is only available for download as a zipped file geodatabase or shapefile at this time. For additional annual assessment roll history and attribute metadata descriptions, please visit the L.A. County Open Data Portal and search for Assessor. To better understand individual data elements, or to interactively view individual parcel information, please visit the Assessor’s Portal. A public-facing parcel map cache can be accessed here (updated weekly): https://public.gis.lacounty.gov/public/rest/services/LACounty_Cache/LACounty_Parcel/MapServer/0All inquiries should be directed to the Mapping & GIS Services Section, LA County Office of the Assessor at gisinfo@assessor.lacounty.gov

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MassGIS - Bureau of Geographic Information (2021). Legacy Shaded Relief from LiDAR (Tile Service) [Dataset]. https://hub.arcgis.com/maps/8418300d72be464189882fc41eaf796e

Legacy Shaded Relief from LiDAR (Tile Service)

Explore at:
Dataset updated
Sep 15, 2021
Dataset authored and provided by
MassGIS - Bureau of Geographic Information
Area covered
Description

This shaded relief image was generated from the lidar-based bare-earth digital elevation model (DEM). A shaded relief image provides an illustration of variations in elevation using artificial shadows. Based on a specified position of the sun, areas that would be in sunlight are highlighted and areas that would be in shadow are shaded. In this instance, the position of the sun was assumed to be 45 degrees above the northwest horizon.The shaded relief image shows areas that are not in direct sunlight as shadowed. It does not show shadows that would be cast by topographic features onto the surrounding surface.Using ERDAS IMAGINE, a 3X3 neighborhood around each pixel in the DEM was analyzed, and a comparison was made between the sun's position and the angle that each pixel faces. The pixel was then assigned a value between -1 and +1 to represent the amount of light reflected. Negative numbers and zero values represent shadowed areas, and positive numbers represent sunny areas. In ArcGIS Desktop 10.7.1, the image was converted to a JPEG 2000 format with values from 0 (black) to 255 (white).See the MassGIS datalayer page to download the data as a JPEG 2000 image file.View this service in the Massachusetts Elevation Finder.MassGIS has also published a Lidar Shaded Relief image service from ArcGIS Server.

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