24 datasets found
  1. a

    UVA Owned Property (in the City)

    • data-uvalibrary.opendata.arcgis.com
    • opendata.charlottesville.org
    • +1more
    Updated Jun 26, 2025
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    City of Charlottesville (2025). UVA Owned Property (in the City) [Dataset]. https://data-uvalibrary.opendata.arcgis.com/items/64543bdb77cc4d9ab8584241015db517
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    City of Charlottesville
    Area covered
    Description

    This dataset identifies and maps UVA-owned parcels within the City of Charlottesville based on specific values in the OWNER field. It filters the city parcel polygon layer to include only those properties held by the University of Virginia and its affiliates. Each parcel includes address, zoning, and a calculated area in acres for analysis and reporting on UVA’s physical footprint in the city.SpSource: vw_ParcelAreaWithParcelPointDetailsOwner Field: OWNER_CURGeometry Type: Polygon (Parcels)atial Reference: State Plane Virginia South (U.S. Survey Feet)Update Frequency: Matches updates to the core city parcel database (vw_ParcelAreaWithParcelPointDetails)Use Cases: Land use planning, tax-exempt property tracking, and UVA–City interagency coordination.

  2. a

    Municipal Boundary Area

    • data-uvalibrary.opendata.arcgis.com
    • opendata.charlottesville.org
    • +3more
    Updated May 23, 2017
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    City of Charlottesville (2017). Municipal Boundary Area [Dataset]. https://data-uvalibrary.opendata.arcgis.com/datasets/charlottesville::municipal-boundary-area
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    Dataset updated
    May 23, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    This dataset represents the APPROXIMATE delineations for the City of Charlottesville's boundary. This information is NOT to be construed or used as a "legal description". The boundary may be modified and updated as more up-to-date information is obtained. Boundaries are believed to be somewhat accurate, but accuracy is not guaranteed.

  3. c

    Green Infrastructure (Storm/UVA)

    • opendata.charlottesville.org
    • charlottesville-open-data-hub-charlottesville.hub.arcgis.com
    • +2more
    Updated Aug 11, 2017
    + more versions
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    City of Charlottesville (2017). Green Infrastructure (Storm/UVA) [Dataset]. https://opendata.charlottesville.org/datasets/green-infrastructure-storm-uva/api
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    Dataset updated
    Aug 11, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    Green stormwater infrastructure utilizes plants, trees, and other measures to mimic natural processes that control and treat stormwater before it enters creeks, streams, and rivers. Green stormwater infrastructure includes practices such as vegetated roofs, bioretention, tree planting, permeable pavement, and rainwater harvesting that aim to intercept, evaporate, transpire, filter, infiltrate, capture, and reuse stormwater. For more information, visit the link below: Charlottesville Stormwater Management

  4. f

    Geomorphology model (ArcGIS Pro version), input datasets and legend...

    • uvaauas.figshare.com
    • data.niaid.nih.gov
    zip
    Updated Jun 2, 2023
    + more versions
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Geomorphology model (ArcGIS Pro version), input datasets and legend symbology files [Dataset]. http://doi.org/10.21942/uva.13693702.v20
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    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.

  5. f

    Map package (ArcGIS Pro version) with geomorphological and geographical...

    • uvaauas.figshare.com
    jpeg
    Updated May 30, 2023
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Map package (ArcGIS Pro version) with geomorphological and geographical datasets used to generate maps for Au West study area in Vorarlberg, Austria [Dataset]. http://doi.org/10.21942/uva.13713064.v9
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Area covered
    Austria, Vorarlberg
    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers, roads and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

  6. c

    Green Infrastructure (City Market Point)

    • opendata.charlottesville.org
    • equity-atlas-uvalibrary.opendata.arcgis.com
    • +3more
    Updated Aug 11, 2017
    + more versions
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    City of Charlottesville (2017). Green Infrastructure (City Market Point) [Dataset]. https://opendata.charlottesville.org/datasets/green-infrastructure-city-market-point
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    Dataset updated
    Aug 11, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    Locally, this includes farmer's markets and community gardens where you can buy local produce, explore options to grow your own fruits and vegetables, and find community gardens that increase access to healthy, local food. For more information, visit the links below: Charlottesville City Market City Schoolyard Garden Urban Agricultural Collective of Charlottesville (UACC) UVA Food Collaborative

  7. c

    Dataset Log

    • opendata.charlottesville.org
    • data-uvalibrary.opendata.arcgis.com
    • +1more
    Updated Oct 26, 2017
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    City of Charlottesville (2017). Dataset Log [Dataset]. https://opendata.charlottesville.org/datasets/dataset-log
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    Dataset updated
    Oct 26, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    Added new dataset OpenDataLog. The dataset stores detailed information regarding issues with the open data portal, new or changes to datasets on the portal as well as other information related to the City's Open Data Portal

  8. f

    Map package (ArcGIS Pro version) with geomorphological and geographical...

    • uvaauas.figshare.com
    • figshare.com
    7z
    Updated May 30, 2023
    + more versions
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Map package (ArcGIS Pro version) with geomorphological and geographical datasets used to generate maps for Dunza-Tschengla study area in Vorarlberg, Austria [Dataset]. http://doi.org/10.21942/uva.13713217.v6
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    7zAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Area covered
    Austria, Vorarlberg
    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

  9. f

    Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of...

    • uvaauas.figshare.com
    • figshare.com
    txt
    Updated May 31, 2023
    + more versions
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes [Dataset]. http://doi.org/10.21942/uva.13704643
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

  10. d

    Use Value Appraisal Parcels

    • catalog.data.gov
    • anrgeodata.vermont.gov
    • +8more
    Updated Apr 26, 2025
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    Forests, Parks and Recreation (2025). Use Value Appraisal Parcels [Dataset]. https://catalog.data.gov/dataset/use-value-appraisal-parcels-3091e
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    Dataset updated
    Apr 26, 2025
    Dataset provided by
    Forests, Parks and Recreation
    Description

    Parcels of land enrolled in UVA that have forestland requiring a forest management plan.Ag parcels are not included in this dataset.

  11. a

    Green-Peyton Albemarle County Map1875

    • data-uvalibrary.opendata.arcgis.com
    • data-old-uvalibrary.opendata.arcgis.com
    • +1more
    Updated Apr 15, 2022
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    University of Virginia (2022). Green-Peyton Albemarle County Map1875 [Dataset]. https://data-uvalibrary.opendata.arcgis.com/datasets/green-peyton-albemarle-county-map1875
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    Dataset updated
    Apr 15, 2022
    Dataset authored and provided by
    University of Virginia
    Area covered
    Description

    Peyton, G, and Worley & Bracher. A map of Albemarle County, Virginia. Philadelphia: Worley & Bracher, 1875. Map.https://www.loc.gov/item/2012586250/.

  12. d

    Jupyter Notebook for RHESsys model in the Paine Run subwatershed of...

    • search.dataone.org
    • hydroshare.org
    Updated Apr 15, 2022
    + more versions
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    YOUNG-DON CHOI (2022). Jupyter Notebook for RHESsys model in the Paine Run subwatershed of Shenandoah National Park on UVA Rivanna [Dataset]. https://search.dataone.org/view/sha256%3A0d46fc18f77a05543131ada1af83f0e5ae5b52c2ec732c4f6c9b7d7023cbdac6
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    Dataset updated
    Apr 15, 2022
    Dataset provided by
    Hydroshare
    Authors
    YOUNG-DON CHOI
    Area covered
    Description

    This Jupyter Notebook created by Laurence lin and Young-Don Choi to simulate the Paine Run subwatershed (12.7 km2) of Shenandoah National Park. This notebook shows how to create RHESssys input using grass GIS from GIS data, simulate RHESsys Model and visualize the output of RHESsys model.

  13. c

    Crime Data

    • opendata.charlottesville.org
    • equity-atlas-uvalibrary.opendata.arcgis.com
    • +4more
    Updated Jun 29, 2017
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    City of Charlottesville (2017). Crime Data [Dataset]. https://opendata.charlottesville.org/datasets/crime-data
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    Dataset updated
    Jun 29, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    *This dataset is updated nightly. Crime data represents the initial information that is provided by individuals calling for police assistance. Please note that the dataset only contains the last 5 years. Remaining information is often amended for accuracy after an Officer arrives and investigates the reported incident. Most often, the changes are made to more accurately reflect the official legal definition of the crimes reported. An example of this is for someone to report that they have been "robbed," when their home was broken into while they were away. The official definition of "robbery" is to take something by force. An unoccupied home being broken into, is actually defined as a "burglary," or a "breaking and entering." While there are mechanisms in place to make each initial call as accurate as possible, some events require evaluation upon arrival. Caution should be used when making assumptions based solely on the data provided, as they may not represent the official crime reports.

  14. a

    Parking Tickets

    • data-uvalibrary.opendata.arcgis.com
    • opendata.charlottesville.org
    • +2more
    Updated Sep 11, 2017
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    City of Charlottesville (2017). Parking Tickets [Dataset]. https://data-uvalibrary.opendata.arcgis.com/datasets/charlottesville::parking-tickets
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    Dataset updated
    Sep 11, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    This data set consists of Parking tickets per block.

  15. a

    Instructions to Digitize Map Points

    • hub.arcgis.com
    • fluvanna-history-oss.hub.arcgis.com
    Updated Oct 2, 2019
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    One Shared Story (2019). Instructions to Digitize Map Points [Dataset]. https://hub.arcgis.com/documents/OSS::instructions-to-digitize-map-points
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    Dataset updated
    Oct 2, 2019
    Dataset authored and provided by
    One Shared Story
    Description

    This is an instructional document developed for volunteers who follow the Fluvanna History Initiative on One Shared Story's GIS Hub.Training was held at the Fluvanna County Public Library on Sunday September 29, 2019. This effort is being coordinated through an Esri GIS Premium Hub Community with assitance from GIS Corp and funding from the UVA Equity Atlas and the BAMA Works Fund.

  16. a

    Parking Permits Detail

    • data-uvalibrary.opendata.arcgis.com
    • opendata.charlottesville.org
    • +2more
    Updated Feb 15, 2018
    + more versions
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    City of Charlottesville (2018). Parking Permits Detail [Dataset]. https://data-uvalibrary.opendata.arcgis.com/datasets/charlottesville::parking-permits-detail/about
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    Dataset updated
    Feb 15, 2018
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    This table contains Residential Parking Permit information. The City has implemented zone permit zones in residential neighborhood adjacent to high commuter areas such as the downtown business district and the University of Virginia. Residents who live in residential parking permit zones are able to obtain permits for on-street parking on the block in which they live. A set number of permits are allocated per residential address.

  17. a

    Albemarle County Data for Morven Property Boundary (inacurate)

    • hub.arcgis.com
    • arcgis.com
    Updated Mar 21, 2024
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    University of Virginia (2024). Albemarle County Data for Morven Property Boundary (inacurate) [Dataset]. https://hub.arcgis.com/datasets/04f4c59c449846f1a0552fdedc5e08e7
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    Dataset updated
    Mar 21, 2024
    Dataset authored and provided by
    University of Virginia
    Area covered
    Description

    The property and subsequent parcels that make up the UVA-UVAF Morven Farm Lands, as understood in 2023 by Nelson Byrd Woltz Associates in cross referencing the layer was provided by the Office of Architect, University of Virginia with the property boundaries provided by Albemarle County. Original source is unknown.

  18. a

    Hoos Reuse Map

    • hub.arcgis.com
    Updated Apr 25, 2018
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    UVA Geospatial Engineering Services (2018). Hoos Reuse Map [Dataset]. https://hub.arcgis.com/maps/2b4b08ec417f471bad376f88c9d93bad
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    Dataset updated
    Apr 25, 2018
    Dataset authored and provided by
    UVA Geospatial Engineering Services
    Area covered
    Description

    For the 2018 moving season

  19. a

    Arrests

    • data-uvalibrary.opendata.arcgis.com
    • opendata.charlottesville.org
    • +5more
    Updated Mar 2, 2019
    + more versions
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    City of Charlottesville (2019). Arrests [Dataset]. https://data-uvalibrary.opendata.arcgis.com/datasets/charlottesville::arrests/data
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    Dataset updated
    Mar 2, 2019
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    *This data is updated nightly from the Police Reporting Server housed at the ECC every day at 11:59PM.Arrest data contains information on people taken into custody by City of Charlottesville police officers. More serious crimes such as felony offenses are more likely to result in an arrest. However, arrests can occur as a result of other offenses, such as parole violations or a failure to appear for trial.This dataset only contains information reported by City of Charlottesville Police. It does not contain information about incidents that solely involve other police departments operating within the city (for example, University of Virginia police or Albemarle County police).

  20. a

    Buildings - Compiled

    • hub.arcgis.com
    Updated Jan 27, 2025
    + more versions
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    University of Virginia (2025). Buildings - Compiled [Dataset]. https://hub.arcgis.com/content/44d5030c477f4bd8ba4dfc96489c9135
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    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    University of Virginia
    Area covered
    Description

    The existing and removed/demolished buildings at Morven (as known), with attribute data that includes the current building number used by Site Staff, the current and any historical building names, the status of the building (existing or removed/demolished), size, construction materials if known, designer/architect if known, year built and era of significance (as provided by the Morven Sustainability Lab), and bibliographic reference for the building records information included (as known). The Office of the Architect, UVA, provided the base shapefile that is a merged dataset of buildings from early 2000s CAD file and County of Albemarle.

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City of Charlottesville (2025). UVA Owned Property (in the City) [Dataset]. https://data-uvalibrary.opendata.arcgis.com/items/64543bdb77cc4d9ab8584241015db517

UVA Owned Property (in the City)

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Dataset updated
Jun 26, 2025
Dataset authored and provided by
City of Charlottesville
Area covered
Description

This dataset identifies and maps UVA-owned parcels within the City of Charlottesville based on specific values in the OWNER field. It filters the city parcel polygon layer to include only those properties held by the University of Virginia and its affiliates. Each parcel includes address, zoning, and a calculated area in acres for analysis and reporting on UVA’s physical footprint in the city.SpSource: vw_ParcelAreaWithParcelPointDetailsOwner Field: OWNER_CURGeometry Type: Polygon (Parcels)atial Reference: State Plane Virginia South (U.S. Survey Feet)Update Frequency: Matches updates to the core city parcel database (vw_ParcelAreaWithParcelPointDetails)Use Cases: Land use planning, tax-exempt property tracking, and UVA–City interagency coordination.

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