15 datasets found
  1. a

    Ky Proposed Water Extensions

    • hamhanding-dcdev.opendata.arcgis.com
    • opengisdata.ky.gov
    • +3more
    Updated Dec 14, 2018
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    KyGovMaps (2018). Ky Proposed Water Extensions [Dataset]. https://hamhanding-dcdev.opendata.arcgis.com/datasets/kygeonet::ky-proposed-water-extensions
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    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    KyGovMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The location of proposed water lines in public water systems in the Commonwealth of Kentucky. A proposed water line depicts a linear feature for which a water project is proposed. Proposed water lines are mapped for water line extension, upgrade, and rehab/replacement projects.

  2. a

    Migrate Content to Arcgis Pro

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Dec 14, 2018
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    State of Delaware (2018). Migrate Content to Arcgis Pro [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/60158896c934462da05e9a8b8a67d742
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    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    State of Delaware
    Description

    An ArcMap map package is a portable file that contains a map document (.mxd) as well as the data referenced by the map layers. (ArcGIS Pro map packages are similar but have different file extensions.) Even if you're not an ArcMap user, you may need at some point to bring a map document or map package into ArcGIS Pro. You don't need ArcMap software to do this tutorial.Estimated time: 20 minutesSoftware requirements: ArcGIS Pro

  3. OSE Declared GW Basins with Extensions

    • catalog.newmexicowaterdata.org
    • anrgeodata.vermont.gov
    • +2more
    csv, geojson, html +2
    Updated Apr 5, 2023
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    New Mexico Office of the State Engineer (2023). OSE Declared GW Basins with Extensions [Dataset]. https://catalog.newmexicowaterdata.org/dataset/ose-declared-gw-basins-with-extensions
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    kml, geojson, csv, html, zipAvailable download formats
    Dataset updated
    Apr 5, 2023
    Dataset provided by
    New Mexico Office of the State Engineerhttps://www.ose.state.nm.us/
    Description

    Data set is a delination of groundwater basins in NM. Updated September 2005 with the declaration of all the existing declared basins by extension.

  4. k

    Proposed Wastewater Extensions

    • opengisdata.ky.gov
    • data.lojic.org
    • +3more
    Updated Oct 8, 2019
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    KyGovMaps (2019). Proposed Wastewater Extensions [Dataset]. https://opengisdata.ky.gov/datasets/proposed-wastewater-extensions
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    Dataset updated
    Oct 8, 2019
    Dataset authored and provided by
    KyGovMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The location of proposed wastewater lines in public wastewater systems in the Commonwealth of Kentucky. A proposed wastewater line depicts a linear feature for which a wastewater project is proposed. Proposed wastewater lines are mapped for wastewater line extension, upgrade, and rehab/replacement projects.

  5. a

    Data from: Google Earth Engine (GEE)

    • hub.arcgis.com
    • amerigeo.org
    • +6more
    Updated Nov 29, 2018
    + more versions
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    AmeriGEOSS (2018). Google Earth Engine (GEE) [Dataset]. https://hub.arcgis.com/items/bb1b131beda24006881d1ab019205277
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    Dataset updated
    Nov 29, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Description

    Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

  6. l

    Data from: Tree Detection

    • visionzero.geohub.lacity.org
    Updated Jun 10, 2024
    + more versions
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    kumarprince8081@gmail.com (2024). Tree Detection [Dataset]. https://visionzero.geohub.lacity.org/content/cc33143173a34e1c8c2972a3d85b413e
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    Dataset updated
    Jun 10, 2024
    Dataset authored and provided by
    kumarprince8081@gmail.com
    Description

    This deep learning model is used to detect trees in low-resolution drone or aerial imagery. Tree detection can be used for applications such as vegetation management, forestry, urban planning, etc. High resolution aerial and drone imagery can be used for tree detection due to its high spatio-temporal coverage.

    This deep learning model is based on MaskRCNN and has been trained on data from the DM Dataset preprocessed and collected by the IST Team.

    There is no need of high-resolution imagery you can perform all your analysis on low resolution imagery by detecting the trees with the accuracy of 75% and finetune the model to increase your performance and train on your own data.

    Licensing requirements ArcGIS Desktop – ArcGIS Image Analyst and ArcGIS 3D Analyst extensions for ArcGIS Pro ArcGIS Enterprise – ArcGIS Image Server with raster analytics configured ArcGIS Online – ArcGIS Image for ArcGIS Online

    Using the model Follow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.

    Note: Deep learning is computationally intensive, and a powerful GPU is recommended to process large datasets.

    Input 3-band low-resolution (70 cm) satellite imagery.

    Output Feature class containing detected trees

    Applicable geographies The model is expected to work well in the U.A.E.

    Model architecture This model is based upon the MaskRCNN python package and uses the Resnet-152 model architecture implemented in pytorch.

    Training data This model has been trained on the Satellite Imagery created and Labelled by the team and validated on the different locations with more diverse locations.

    Accuracy metrics This model has an average precision score of 0.45.

    Sample results Here are a few results from the model.

  7. Fabric Point Move To Feature

    • visionzero.geohub.lacity.org
    Updated Jun 22, 2016
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    esri.parcel.team (2016). Fabric Point Move To Feature [Dataset]. https://visionzero.geohub.lacity.org/content/a372bccd6406480494d2bb0806f594f3
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    Dataset updated
    Jun 22, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This Esri supported add-in is supported in ArcMap Desktop 10.4 and higher, and used to:1. Update the position of fabric points, using the geometry of features in a reference layer that you configure.2. Merge multiple close fabric points to a specific location that you define.The Fabric Point Move to Feature add-in provides methods to update the positions of parcel points based on feature geometry locations. Feature layers are used as a target reference, and contain the features that are used to update the fabric points.Fabric points can be updated using either a line layer or a point layer.For a demonstration of how to use this tool, please see the Help video available from the toolbar, or directly from here.The source code is available on GitHub.Installing a different version of an add-in.If you are installing the add-in directly on your client machine, as opposed to placing the add-in file at a network share location, then follow these steps:First un-install the version currently on the client machine. 1. In ArcMap go to Customize -> Add-in Manager2. On the Add-ins tab click to select the add-in you want to un-install, and then click the Delete button.3. Click Yes on the dialog that asks for confirmation on the delete.4. Click Close.5. Close ArcMap.6. Start ArcMap and use Add-in Manager to confirm the add-in is not listed under the My Add-ins section of the left pane.7. Close ArcMap.8. Double-click the add-in file for the version of the add-in that you want to install.9. Click the Install Add-in button.10. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under My Add-ins.Troubleshooting Notes: A. if problems are encountered when attemping to run the add-in, check to make sure you have privileges on the well-known folder. You should be able to browse to the file add-in location on disk, in the well-known folder: C:\Users<username>\Documents\ArcGIS\AddIns\Desktop10.<0-1>\B. Alternatively, consider using a network share for your add-in, and follow the steps below.If you use a network share to load the add-in, then follow these steps:1. In ArcMap go to Customize -> Add-in Manager.2. In the left pane on the Add-ins tab, scroll down to the Shared Add-ins.3. Under Shared Add-ins, click on the add-in name that you want to change and confirm the add-in version in the right pane is the one you want to change from.4. Click the Options tab on the Add-in Manager and get the share location for the add-in you want to change from.4. Click Close on the Add-in Manager and close ArcMap.5. Using the required privileges, browse to the share location and replace the add-in file with the version of the add-in file that you want to change to.6. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under Shared Add-ins.General notes and resources:A. See the Administrator Settings heading under the help section here: https://bit.ly/2XD5mb8B. Additional uninstall and re-install steps: https://bit.ly/2xN8dPy

  8. a

    ADFG Caribou Seasonality and Movement

    • gis.data.alaska.gov
    • akscf-msb.opendata.arcgis.com
    • +2more
    Updated Oct 2, 2018
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    Alaska Department of Fish & Game (2018). ADFG Caribou Seasonality and Movement [Dataset]. https://gis.data.alaska.gov/datasets/0b24009665a34a709901017d519d39b5
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    Dataset updated
    Oct 2, 2018
    Dataset authored and provided by
    Alaska Department of Fish & Game
    Description

    Analysis condicted by ABR Inc.–Environmental Research & Services.Data from ADFG/BLM/NSB and ConocoPhillips Alaska Inc.For Brownian Bridge Movement Models - Conducted dynamic Brownian Bridge Movement Models (dBBMM) to delineate movmeents on seasonal herd ranges. dBBMM models were run using the move package for r using the following methods.1. Locations within 30 days of first collaring were removed from the analysis. 2. Selected females from PTT and GPS collars during the date range July 1 2012–June 30 2017 and individuals having more than 30 locations per season.3. ran a dBBMMM model for each individual during each season using 1 km pixels. 4. Calculate the 95% isopleth for each individual.5. Overlap all 95% isopleths and calculate the proportion of animals using (as defined by 95% isopleth) each pixel. Value shown is proportion times 1000. Seasons used: Winter (Dec 1-Apr 15); Spring (Apr 16-May 31); Calving (June 1-15); postcalving (June 16-30); Mosquito (July 1-15); Oestrid Fly (July 16-Aug 7); late summer (August 8-Sept 15); Fall Migration (Sept 16-Nov 30). For Kernel Density Estimates - Conducted Kernel Density Estimation (KDE) to delineate seasonal herd ranges. Kernels were run using the ks package for r and the plugin bandwidth estimator. 1. Locations within 30 days of first collaring were removed from the analysis. 2. The mean latitiude and longitude for each animal was calculated for each day.3. A KDE utilization distribution was calculated for Julian day of the season (all years combined). 4. The daily KDE uds were averaged across the season. This method accounts for individual's movements during the seasons without the overfitting that results from using autocorrelated lcoations from individuals.Seasons used: Winter (Dec 1-Apr 15); Spring (Apr 16-May 31); Calving (June 1-15); postcalving (June 16-30); Mosquito (July 1-15); Oestrid Fly (July 16-Aug 7); late summer (August 8-Sept 15); Fall Migration (Sept 16-Nov 30).

  9. l

    Data from: Curves And Lines

    • visionzero.geohub.lacity.org
    Updated Nov 30, 2011
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    tekwen (2011). Curves And Lines [Dataset]. https://visionzero.geohub.lacity.org/content/b59665cb906a435da3f8c45332d7cfdf
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    Dataset updated
    Nov 30, 2011
    Dataset authored and provided by
    tekwen
    Description

    This Esri supported add-in is used to:1. Split multi-segment lines at inflection points; for example, at locations where one curve transitions into another, or at sharp bends or corners between two straight-line segments.2. Convert densified lines into one or more separate circular arcs by fitting circular arcs to the straight-line segment sequences.3. Simplify lines by testing segment tangency and removing unneeded vertices along a straight line or along a circular arc.4. Select multi-segment lines based on the properties of the segments.5. Select features that have multi-part geometries.For a full description of how to use this tool, please read the Add-in documentation:Curves And Lines Add-inAlso see the Help video available from the toolbar, or directly from here.Archived older versions of this add-in available from here.Installing a different version of an add-in.If you are installing the add-in directly on your client machine, as opposed to placing the add-in file at a network share location, then follow these steps:First un-install the version currently on the client machine. 1. In ArcMap go to Customize -> Add-in Manager2. On the Add-ins tab click to select the add-in you want to un-install, and then click the Delete button.3. Click Yes on the dialog that asks for confirmation on the delete.4. Click Close.5. Close ArcMap.6. Start ArcMap and use Add-in Manager to confirm the add-in is not listed under the My Add-ins section of the left pane.7. Close ArcMap.8. Double-click the add-in file for the version of the add-in that you want to install.9. Click the Install Add-in button.10. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under My Add-ins.Troubleshooting Notes: A. if problems are encountered when attempting to run the add-in, check to make sure you have privileges on the well-known folder. You should be able to browse to the file add-in location on disk, in the well-known folder: C:\Users<username>\Documents\ArcGIS\AddIns\Desktop10.<0-1>\B. Alternatively, consider using a network share for your add-in, and follow the steps below.C. Make sure that the add-in is being loaded from ONLY ONE location, by confirming that you do not have the add-in file on both a network share as well as on your well-known folder location. This can cause conflicts and may result in the add-in not loading.If you use a network share to load the add-in, then follow these steps:1. In ArcMap go to Customize -> Add-in Manager.2. In the left pane on the Add-ins tab, scroll down to the Shared Add-ins.3. Under Shared Add-ins, click on the add-in name that you want to change and confirm the add-in version in the right pane is the one you want to change from.4. Click the Options tab on the Add-in Manager and get the share location for the add-in you want to change from.4. Click Close on the Add-in Manager and close ArcMap.5. Using the required privileges, browse to the share location and replace the add-in file with the version of the add-in file that you want to change to.6. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under Shared Add-ins.General notes and resources:A. See the Administrator Settings heading under the help section here: https://bit.ly/2XD5mb8NOTE:ArcGIS Pro 2.1 introduced a geoprocessing tool that will convert densified lines into one or more circular arc segments by fitting circular arcs to the straight-line segment sequences. This new gp tool can be found in the Editing toolbox and is called Simplify By Straight Lines And Circular Arcs.

  10. l

    Delete Fabric Records

    • visionzero.geohub.lacity.org
    Updated Nov 30, 2011
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    tekwen (2011). Delete Fabric Records [Dataset]. https://visionzero.geohub.lacity.org/content/52ab3234fc0b44068567d06e5d6f9175
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    Dataset updated
    Nov 30, 2011
    Dataset authored and provided by
    tekwen
    Description

    This Esri supported add-in is useful for the following:Deleting a large number of selected control points, parcels, connection lines, or line points from versioned or un-versioned fabrics.Finding and optionally deleting inconsistent fabric records such as points that are not attached to lines, lines with the same from and to points, lines that are not attached to parcels, parcels with no lines, and line-points with incorrect point references, in one of two waysIn batch for the whole fabric, orBy dragging a small rectangle over fabric lines and points in the map.Finding and optionally deleting empty plans.Truncating fabric tables on an un-versioned fabric (removes ALL rows from the chosen fabric tables)For a full description of how to use this tool, please read the Add-in documentation:Delete Fabric Records Add-in.The source code is available on GitHub.Installing a different version of an add-in.If you are installing the add-in directly on your client machine, as opposed to placing the add-in file at a network share location, then follow these steps:First un-install the version currently on the client machine. 1. In ArcMap go to Customize -> Add-in Manager2. On the Add-ins tab click to select the add-in you want to un-install, and then click the Delete button.3. Click Yes on the dialog that asks for confirmation on the delete.4. Click Close.5. Close ArcMap.6. Start ArcMap and use Add-in Manager to confirm the add-in is not listed under the My Add-ins section of the left pane.7. Close ArcMap.8. Double-click the add-in file for the version of the add-in that you want to install.9. Click the Install Add-in button.10. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under My Add-ins.Troubleshooting Notes: A. if problems are encountered when attempting to run the add-in, check to make sure you have privileges on the well-known folder. You should be able to browse to the file add-in location on disk, in the well-known folder: C:\Users<username>\Documents\ArcGIS\AddIns\Desktop10.<0-1>\B. Alternatively, consider using a network share for your add-in, and follow the steps below.C. Make sure that the add-in is being loaded from ONLY ONE location, by confirming that you do not have the add-in file on both a network share as well as on your well-known folder location. This can cause conflicts and may result in the add-in not loading.If you use a network share to load the add-in, then follow these steps:1. In ArcMap go to Customize -> Add-in Manager.2. In the left pane on the Add-ins tab, scroll down to the Shared Add-ins.3. Under Shared Add-ins, click on the add-in name that you want to change and confirm the add-in version in the right pane is the one you want to change from.4. Click the Options tab on the Add-in Manager and get the share location for the add-in you want to change from.4. Click Close on the Add-in Manager and close ArcMap.5. Using the required privileges, browse to the share location and replace the add-in file with the version of the add-in file that you want to change to.6. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under Shared Add-ins.General notes and resources:A. See the Administrator Settings heading under the help section here: https://bit.ly/2XD5mb8B. Additional uninstall and re-install steps:https://bit.ly/2xN8dPy

  11. Parcel Fabric Quality Control

    • visionzero.geohub.lacity.org
    Updated Jun 23, 2016
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    esri.parcel.team (2016). Parcel Fabric Quality Control [Dataset]. https://visionzero.geohub.lacity.org/content/11c4108c799d4687989c169ae978c6c2
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    Dataset updated
    Jun 23, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This Esri supported add-in is supported in ArcMap 10.1 and higher, and is used to:1. Visualize quality indicators on parcels.2. Re-calculate directions or distances based on filters that you define.3. Get a combined scale factor for distance calculations, by specifying an elevation source.4. Add or update elevations on parcels and control points, by interpolating from a surface or manually entering a value.5. Re-calculate the stated area from direction and distance attributes. The source code is available on GitHub.Installing a different version of an add-in.If you are installing the add-in directly on your client machine, as opposed to placing the add-in file at a network share location, then follow these steps:First un-install the version currently on the client machine. 1. In ArcMap go to Customize -> Add-in Manager2. On the Add-ins tab click to select the add-in you want to un-install, and then click the Delete button.3. Click Yes on the dialog that asks for confirmation on the delete.4. Click Close.5. Close ArcMap.6. Start ArcMap and use Add-in Manager to confirm the add-in is not listed under the My Add-ins section of the left pane.7. Close ArcMap.8. Double-click the add-in file for the version of the add-in that you want to install.9. Click the Install Add-in button.10. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under My Add-ins.Troubleshooting Notes: A. if problems are encountered when attemping to run the add-in, check to make sure you have privileges on the well-known folder. You should be able to browse to the file add-in location on disk, in the well-known folder: C:\Users<username>\Documents\ArcGIS\AddIns\Desktop10.<0-1>\B. Alternatively, consider using a network share for your add-in, and follow the steps below.If you use a network share to load the add-in, then follow these steps:1. In ArcMap go to Customize -> Add-in Manager.2. In the left pane on the Add-ins tab, scroll down to the Shared Add-ins.3. Under Shared Add-ins, click on the add-in name that you want to change and confirm the add-in version in the right pane is the one you want to change from.4. Click the Options tab on the Add-in Manager and get the share location for the add-in you want to change from.4. Click Close on the Add-in Manager and close ArcMap.5. Using the required privileges, browse to the share location and replace the add-in file with the version of the add-in file that you want to change to.6. Start ArcMap and use Add-in Manager to confirm that the desired version of the add-in is now listed under Shared Add-ins.General notes and resources:A. See the Administrator Settings heading under the help section here: https://bit.ly/2XD5mb8B. Additional uninstall and re-install steps:https://bit.ly/2xN8dPy

  12. Extensions to Estimated Housing Authority Service Areas Methodology

    • data.lojic.org
    • hub.arcgis.com
    • +1more
    Updated Mar 21, 2024
    + more versions
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    Department of Housing and Urban Development (2024). Extensions to Estimated Housing Authority Service Areas Methodology [Dataset]. https://data.lojic.org/datasets/HUD::extensions-to-estimated-housing-authority-service-areas-methodology-1
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    Dataset updated
    Mar 21, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    The data provided here denotes the authors’ revised service areas for a subset of 377 Public Housing Authorities (PHAs) for which HUD previously estimated service areas. Using HUD administrative data on the location of Housing Choice Voucher holders, HUD’s estimated service areas were revised to better capture voucher activity. Specifically, the authors developed two different tests and correction procedures. The first assesses if the estimated service area omits a sizable share of voucher holder locations (so is “too small”), and if so, adjusts to include census designated places or counties containing at least 5 percent of a PHA’s voucher holders. The second test checks whether the estimated service boundary includes areas the PHA does not appear to serve and that are clearly served by another PHA (so is “too large”), in this case adjusting by removing those areas. 148 of the 377 PHA estimated service areas were found to be too small, too large, or both, and so have revised service areas that differ from HUD’s estimated service areas. The detailed methodology is provided below. Additionally, a spreadsheet is supplied that identifies geographies that were added to and dropped from HUD’s estimated services to create the revised service areas for affected PHAs.

    This is an experimental dataset that is designed to aid researchers in studying the HCV program. The methodology and the service areas themselves have not been validated by HUD’s Office of Public and Indian Housing (PIH) or the Public Housing Agencies. For additional discussion of the approach, see Tauber et al. (2024); please contact the authors with any questions or comments.

    Reference:Tauber, Kristen, Ingrid Gould Ellen, and Katherine O’Regan. 2024. “Whom Do We Serve? Refining Public Housing Agency Service Areas.” Cityscape 26(1) (2024): 395-400.

  13. a

    Accessing Maine 2-Foot Contours

    • mainegeolibrary-maine.hub.arcgis.com
    Updated Aug 31, 2021
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    State of Maine (2021). Accessing Maine 2-Foot Contours [Dataset]. https://mainegeolibrary-maine.hub.arcgis.com/datasets/accessing-maine-2-foot-contours
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    Dataset updated
    Aug 31, 2021
    Dataset authored and provided by
    State of Maine
    Area covered
    Maine
    Description

    Users are encouraged to access the Maine ArcGIS REST Services Directory and connect to the 2-foot contour feature service layer URLs available under the "Hosted" folder instead of attempting to download the data. Many GIS software clients (including ArcGIS, QGIS, and Global Mapper) allow for exporting data directly in the software client as well, once the service connection is established. Please review your specific GIS client documentation for the workflow to add a new ArcGIS/feature service connection.AutoCAD users: There is a free plugin available (ArcGIS for AutoCAD) that allows direct editing of GIS data within AutoCAD. System requirements can be found here. The download page can be found here.

  14. a

    Car Detection - New Zealand

    • sdiinnovation-geoplatform.hub.arcgis.com
    Updated Oct 6, 2022
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    Eagle Technology Group Ltd (2022). Car Detection - New Zealand [Dataset]. https://sdiinnovation-geoplatform.hub.arcgis.com/content/48ae671cf14c4351bc304a8c93672f23
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    Dataset updated
    Oct 6, 2022
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This New Zealand car detection Deep Learning Package will detect cars from high resolution imagery. This model is re-trained from the Esri Car Detection - USA Deep Learning Package and is trained to work better within the New Zealand geography.The model precision had also improved from 0.81 to 0.89. The package is trained to be more aggressive in terms of car detecting and is able to detect most cars that are fully covered in shade or partially blocked by tree canopy. This deep learning model is used to detect cars in high resolution drone or aerial imagery. Car detection can be used for applications such as traffic management and analysis, parking lot utilization, urban planning, etc. It can also be used as a proxy for deriving economic indicators and estimating retail sales. High resolution aerial and drone imagery can be used for car detection due to its high spatio-temporal coverage.Licensing requirementsArcGIS Desktop – ArcGIS Image Analyst and ArcGIS 3D Analyst extensions for ArcGIS ProArcGIS Online – ArcGIS Image for ArcGIS OnlineUsing the modelFollow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.Note: Deep learning is computationally intensive, and a powerful GPU is recommended to process large datasets.InputHigh resolution RGB imagery (7.5 centimetre spatial resolution)OutputFeature class containing detected carsApplicable geographiesThe model is expected to work well with the New Zealand localised data.Model architectureThis model uses the MaskRCNN model architecture implemented in ArcGIS Pro Arcpy.Accuracy metricsThis model has an average precision score of 0.89.Sample resultsHere are a few results from the model.(Post processing are recommended to filter out False Positive Object.e.g (confidence >= x | 0.95) |& ((shape_area/shape_length) >= x | 0.5) |& (class == Car) |& Regularize(feature)3% of detected object will need to be filtered out averagely .To learn how to use this model, see this story

  15. a

    NonSignalized Salem Crossings View

    • hub.arcgis.com
    • data.cityofsalem.net
    Updated Mar 25, 2021
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    City of Salem, Oregon (2021). NonSignalized Salem Crossings View [Dataset]. https://hub.arcgis.com/datasets/038b0fe379424c719d0dca1db8f00f7e
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    Dataset updated
    Mar 25, 2021
    Dataset authored and provided by
    City of Salem, Oregon
    Area covered
    Description

    This layer contains non-signalized crossings within the city. Attributes about non-signalized crossings include: Crossing Location: Location of the crossingYear Constructed: Year the crossing was constructedMedian: Is a median present? (Yes/No)Rectangular Rapid Flashing Beacons: Are Rectangular Rapid Flashing Beacons (RRFP) present? (Yes/No)Curb Extensions: Are curb extensions present? (Yes/No)Grade_Separated: Is the grade separated? (Yes/No)School Crossing: Is the crossing a school crossing? (Yes/No)

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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KyGovMaps (2018). Ky Proposed Water Extensions [Dataset]. https://hamhanding-dcdev.opendata.arcgis.com/datasets/kygeonet::ky-proposed-water-extensions

Ky Proposed Water Extensions

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Dataset updated
Dec 14, 2018
Dataset authored and provided by
KyGovMaps
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Area covered
Description

The location of proposed water lines in public water systems in the Commonwealth of Kentucky. A proposed water line depicts a linear feature for which a water project is proposed. Proposed water lines are mapped for water line extension, upgrade, and rehab/replacement projects.

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