18 datasets found
  1. e

    Data from: Historical Plat Maps of Dane County Digitized and Converted to...

    • portal.edirepository.org
    • search.dataone.org
    zip
    Updated Dec 6, 2022
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    Kathryn Anderson (2022). Historical Plat Maps of Dane County Digitized and Converted to GIS (1962-2005) [Dataset]. http://doi.org/10.6073/pasta/4a41c99b83bf474acf7325093357a050
    Explore at:
    zip(102240528 bytes), zip(96430384 bytes), zip(57766323 bytes), zip(73542182 bytes), zip(68239503 bytes), zip(51859429 bytes), zip(79881524 bytes), zip(77159240 bytes), zip(85633869 bytes), zip(64352451 bytes), zip(124038870 bytes)Available download formats
    Dataset updated
    Dec 6, 2022
    Dataset provided by
    EDI
    Authors
    Kathryn Anderson
    License

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

    Time period covered
    Jan 1, 1962 - Dec 31, 2005
    Area covered
    Variables measured
    FID, Shape, ParcelID
    Description

    We constructed a time-series spatial dataset of parcel boundaries for the period 1962-2005, in roughly 4-year intervals, by digitizing historical plat maps for Dane County and combining them with the 2005 GIS digital parcel dataset. The resulting datasets enable the consistent tracking of subdivision and development for all parcels over a given time frame. The process involved 1) dissolving and merging the 2005 digital Dane County parcel dataset based on contiguity and name, 2) further merging 2005 parcels based on the hard copy 2005 Plat book, and then 3) the reverse chronological merging of parcels to reconstruct previous years, at 4-year intervals, based on historical plat books. Additional land use information such as 1) whether a structure was actually constructed (using the companion digitized aerial photo dataset), 2) cover crop, and 3) permeable surface area, can be added to these datasets at a later date.

  2. a

    Cross Plains Public Lands Overlay

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 29, 2020
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    Dane County, Wisconsin (2020). Cross Plains Public Lands Overlay [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/db685eb167f7410f81b99e99dbd01d55
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    Dataset updated
    Apr 29, 2020
    Dataset authored and provided by
    Dane County, Wisconsin
    Area covered
    Description

    The Dane County Parcel Database was derived from a variety of source maps including U.S. General Land Office survey plats, deed descriptions, subdivision plats, certified survey maps and right-of-way plats. All new parcels are entered into the database using coordinate geometry (COGO). The map provides a representation of the geometry and topology of tax parcels. The attributes are derived from the Dane County Treasurers database. It is not intended to be used for the legal determination of land ownership or to be in any way a substitute for the land ownership and interest descriptions contained in individual deeds.

  3. Wisconsin DEM and Hillshade from LiDAR - Web Map

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jan 17, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin DEM and Hillshade from LiDAR - Web Map [Dataset]. https://data-wi-dnr.opendata.arcgis.com/maps/f2e49a42f5e14dd5845536408279da9d
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    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.

  4. Data from: North Temperate Lakes LTER Dane County Major Roads

    • dataone.org
    Updated Nov 23, 2022
    + more versions
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    John Magnuson; Stephen Carpenter; Emily Stanley (2022). North Temperate Lakes LTER Dane County Major Roads [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-ntl%2F159%2F13
    Explore at:
    Dataset updated
    Nov 23, 2022
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    John Magnuson; Stephen Carpenter; Emily Stanley
    Time period covered
    Jan 1, 2004
    Area covered
    Variables measured
    FID, CFCC, Shape, FNODE_, LENGTH, LPOLY_, RECNUM, RPOLY_, SOURCE, TNODE_, and 2 more
    Description

    Major roads in Dane County, Wisconsin. Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-ntl%2F159%2F13 for complete metadata about this dataset.

  5. K

    Madison, Wisconsin Wards

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 7, 2022
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    City of Madison, Wisconsin (2022). Madison, Wisconsin Wards [Dataset]. https://koordinates.com/layer/111274-madison-wisconsin-wards/
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    kml, dwg, mapinfo tab, pdf, mapinfo mif, geopackage / sqlite, geodatabase, shapefile, csvAvailable download formats
    Dataset updated
    Dec 7, 2022
    Dataset authored and provided by
    City of Madison, Wisconsin
    Area covered
    Description

    Geospatial data about Madison, Wisconsin Wards. Export to CAD, GIS, PDF, CSV and access via API.

  6. Data from: North Temperate Lakes LTER Dane County Major Roads

    • search-demo.dataone.org
    Updated Nov 23, 2022
    + more versions
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    John Magnuson; Stephen Carpenter; Emily Stanley (2022). North Temperate Lakes LTER Dane County Major Roads [Dataset]. https://search-demo.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-ntl%2F159%2F13
    Explore at:
    Dataset updated
    Nov 23, 2022
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    John Magnuson; Stephen Carpenter; Emily Stanley
    Time period covered
    Jan 1, 2004
    Area covered
    Variables measured
    FID, CFCC, Shape, FNODE_, LENGTH, LPOLY_, RECNUM, RPOLY_, SOURCE, TNODE_, and 2 more
    Description

    Major roads in Dane County, Wisconsin. Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-ntl%2F159%2F13 for complete metadata about this dataset.

  7. K

    Madison, Wisconsin Zoning Districts

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 7, 2022
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    City of Madison, Wisconsin (2022). Madison, Wisconsin Zoning Districts [Dataset]. https://koordinates.com/layer/111273-madison-wisconsin-zoning-districts/
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    csv, shapefile, mapinfo tab, geopackage / sqlite, dwg, pdf, mapinfo mif, geodatabase, kmlAvailable download formats
    Dataset updated
    Dec 7, 2022
    Dataset authored and provided by
    City of Madison, Wisconsin
    Area covered
    Description

    Geospatial data about Madison, Wisconsin Zoning Districts. Export to CAD, GIS, PDF, CSV and access via API.

  8. Data from: North Temperate Lakes LTER Dane County Census 1990-2000

    • search.dataone.org
    • search-dev.test.dataone.org
    • +1more
    Updated Nov 23, 2022
    + more versions
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    John Magnuson; Stephen Carpenter; Emily Stanley (2022). North Temperate Lakes LTER Dane County Census 1990-2000 [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-ntl%2F177%2F18
    Explore at:
    Dataset updated
    Nov 23, 2022
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    John Magnuson; Stephen Carpenter; Emily Stanley
    Time period covered
    Jan 1, 1990
    Area covered
    Variables measured
    FID, AREA, BLK00, Shape, HDEN00, PDEN00, HHDEN00, SHDEN00, WATER00, PERIMETER, and 4 more
    Description

    This data set contains population and housing data from the 1990 census and the 2000 census for Dane County, Wisconsin.

  9. w

    Contours, 2005 4-Foot Contours, Published in 2009, 1:2400 (1in=200ft) scale,...

    • data.wu.ac.at
    exe, html
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Contours, 2005 4-Foot Contours, Published in 2009, 1:2400 (1in=200ft) scale, Dane County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/NzkwYmQ1ZDQtMzg3NS00N2Q5LTlmOTEtNGRmMmMxMDY3NDdi
    Explore at:
    exe, htmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    1f38aa5ca099583bd785085e3362da98bd2e0908
    Description

    Contours dataset current as of 2009. 2005 4-Foot Contours.

  10. a

    Data from: Road Centerlines

    • gis-countyofdane.opendata.arcgis.com
    Updated Jan 8, 2020
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    Dane County, Wisconsin (2020). Road Centerlines [Dataset]. https://gis-countyofdane.opendata.arcgis.com/items/c9827e247f9f4906b09c39e4c790f5b7
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    Dataset updated
    Jan 8, 2020
    Dataset authored and provided by
    Dane County, Wisconsin
    Area covered
    Description

    Detailed line feature dataset of the Dane County roadway network containing attributes such as street name and address ranges, ZIP codes, speed limits and routing.

  11. a

    Dashboard source - Areas - Infographics

    • comprehensive-plan-maps-countyofdane.hub.arcgis.com
    • precinct-4-gis-1-1-harriscounty.hub.arcgis.com
    Updated Jan 22, 2025
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    Dane County, Wisconsin (2025). Dashboard source - Areas - Infographics [Dataset]. https://comprehensive-plan-maps-countyofdane.hub.arcgis.com/datasets/dashboard-source-areas-infographics-1
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Dane County, Wisconsin
    Area covered
    Description

    Business Analyst Layer: Dashboard source - Areas - Infographics

  12. a

    Sections with AHI 2

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 2, 2023
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    Dane County, Wisconsin (2023). Sections with AHI 2 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/358a0b6735ce4aedb086fd4129b14092_0/about
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    Dataset updated
    Aug 2, 2023
    Dataset authored and provided by
    Dane County, Wisconsin
    Area covered
    Description

    The Public Land Survey System (PLSS) or the Rectangular Survey System is used for over half of the United States. Each grid cell represents approximately 36 square miles. In creating the PLSS the government divided the land into Townships, each of which was to be 36 miles square (6 miles tall and 6 miles wide). The location of a Township is described by its position in relation to starting lines called Base Lines and Principal Meridians. A Township is identified by a Township number based on how far North or South it is from the Base Line, and a Range number based on how far East or West it is from the Principal Meridian. So a Township 3 position North of the Base Line and 4 positions West of the Principal Meridian is referred to as "T3N R4E". These townships would contain 36 Sections, each a mile square. These townships were to be oriented true to North/South, but because lines of true north eventually converge at teh North pole, it was impossible to keep the townships oriented and a square 36 miles. Because of this, Townships are rarely truly square. One the north and West side of Townships there are often tracts of land with unusual sizes. These are referred to as fractional forties and eighties.

  13. a

    Assembly Districts

    • gis-countyofdane.opendata.arcgis.com
    Updated Dec 13, 2018
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    Dane County, Wisconsin (2018). Assembly Districts [Dataset]. https://gis-countyofdane.opendata.arcgis.com/datasets/3cef2a4ce64a4c37be140e461c4d1533
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    Dataset updated
    Dec 13, 2018
    Dataset authored and provided by
    Dane County, Wisconsin
    Area covered
    Description

    Assembly districts boundaries that include the district number, name of representative, and their website url.

    --This data layer is included in the DaneVote application

    Last Updated on: Oct 2018

  14. a

    Subregiones - Provincias de Colombia

    • glx-gov-esri-co.opendata.arcgis.com
    • datosabiertos.esri.co
    • +3more
    Updated Jun 8, 2016
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    Esri Colombia (2016). Subregiones - Provincias de Colombia [Dataset]. https://glx-gov-esri-co.opendata.arcgis.com/datasets/aca23d80f0ea4280beb3274a04e7f312
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    Dataset updated
    Jun 8, 2016
    Dataset authored and provided by
    Esri Colombia
    Area covered
    Description

    Una división administrativa, órgano administrativo, unidad administrativa, o subdivisión del territorio, es una parte de un país u región, delimitada con el propósito de mejorar, planificar o hacer más eficiente su administración.Las subregiones-provincias como unidad administrativa corresponden a subdivisiones al interior de los departamentos de Colombia e históricamente han sido reconocidas como tales (Mendoza, 1989). La mayoría de los departamentos presentan históricamente este tipo de organización territorial (provincia/subregión) como por ejemplo los departamentos de: Antioquia, Boyacá, Nariño y Cundinamarca, entre otros.El propósito de la publicación de la capa de subregiones-provincias, es facilitar la estandarización de nombres y códigos, la difusión y publicación de resultados de investigaciones demográficas, sociales, económicas, ambientales, judiciales, entre otras, así como, una base para suplir las necesidades de información más detallada, útil en la toma de decisiones para las entidades territoriales en las etapas del ordenamiento territorial y ambiental.Para generar la capa de Subregión-provincia se partió de la revisión de información histórica, cartográfica y publicaciones en los departamentos del país y entidades del orden nacional como el DANE, en donde se identificaron los municipios que les pertenecen a cada una de las subregiones-provincias reconocidas en cada departamento. Posteriormente sobre la base cartográfica de municipios de SIGOT-IGAC de 2012 se realizó la asociación por los códigos de municipio del DANE, para finalmente y con el software GIS ArcMap, se realizó la generalización por el código asignado en la propuesta de la publicación del autor en 2013 “Propuesta de Codificación de Nuevas Divisiones Administrativas” y el nombre identificado para cada subregión-provincia en Colombia.La capa de Subregión-provincia cubre el territorio de Colombia, sobre el cual se identificaron estos tipos de unidades administrativas en los departamentos ypresenta los siguientes atributos:COD_DEPTO: Código DANE del DepartamentoCOD_SUBREGION: Código asignado a la Subregión - ProvinciaNOM_SUBREGION: Nombre de la Subregión - ProvinciaAutor: Josué López Gil (Ingeniero Catastral y Geodesta).Información de referencia: Datos alfanuméricos de referencia:DANE (2005): Tabla de provincias https://www.dane.gov.co/files/censo2005/provincias/subregiones.pdf.Página Web de las gobernaciones y Secretarias de Planeación de los departamentos de Colombia.López Gil, Josué (2013). “Propuesta de Codificación de Nuevas Divisiones Administrativas”, recuperado de http://www.dane.gov.co/candane/images/DT_DANE/Propuesta_de_codificacion.pdfCapa Geográfica de referencia (Polígono): SIGOT-IGAC 2012, Nivel de municipio de las capas temáticas recuperado de http://sigotn.igac.gov.co/sigotn/default.aspx

  15. a

    Dashboard source - Areas

    • comprehensive-plan-maps-countyofdane.hub.arcgis.com
    • precinct-4-gis-1-1-harriscounty.hub.arcgis.com
    • +2more
    Updated Jan 22, 2025
    + more versions
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    Dane County, Wisconsin (2025). Dashboard source - Areas [Dataset]. https://comprehensive-plan-maps-countyofdane.hub.arcgis.com/datasets/dashboard-source-areas-1
    Explore at:
    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Dane County, Wisconsin
    Area covered
    Description

    Business Analyst Layer: Dashboard source - Areas

  16. c

    Veredas DANE ajustadas 2018

    • mapas.cundinamarca.gov.co
    • hub.arcgis.com
    • +1more
    Updated Mar 10, 2023
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    Infraestructura de Datos Espaciales Cundinamarca IDEC (2023). Veredas DANE ajustadas 2018 [Dataset]. https://mapas.cundinamarca.gov.co/datasets/cundinamarca-map::veredas-dane-ajustadas-2018
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    Dataset updated
    Mar 10, 2023
    Dataset authored and provided by
    Infraestructura de Datos Espaciales Cundinamarca IDEC
    License

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

    Area covered
    Description

    Capa temática de las veredas de Cundinamarca que hace parte de la información generada en su momento por el DANE (2016) con base en la acopiada por la Agencia Nacional de Tierras para todo el país. Fue ajustada por la secretaría de Planeación de la Gobernación de Cundinamarca en 2018, con el fin de guardar correspondencia con los límites de municipios y departamentos generados por el Instituto Agustín Codazzi-IGAC.La información contempla la división político-administrativa de los 116 municipios que componen el departamento de Cundinamarca y fue extraída del archivo compilado por la Agencia Nacional de Tierras a nivel del país. Fue generada en escala 1:25.000.

  17. a

    Bike Boxes

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 6, 2017
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    City of Madison Map Data (2017). Bike Boxes [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/cityofmadison::bike-boxes
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    Dataset updated
    Feb 6, 2017
    Dataset authored and provided by
    City of Madison Map Data
    Area covered
    Description

    Bike BoxesThis data layer is used by the Dane County Bicycle Map application.

  18. County Boundaries 24K

    • data-wi-dnr.opendata.arcgis.com
    Updated Jan 4, 2017
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    Wisconsin Department of Natural Resources (2017). County Boundaries 24K [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/county-boundaries-24k
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    Dataset updated
    Jan 4, 2017
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    This data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.

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

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Kathryn Anderson (2022). Historical Plat Maps of Dane County Digitized and Converted to GIS (1962-2005) [Dataset]. http://doi.org/10.6073/pasta/4a41c99b83bf474acf7325093357a050

Data from: Historical Plat Maps of Dane County Digitized and Converted to GIS (1962-2005)

Related Article
Explore at:
296 scholarly articles cite this dataset (View in Google Scholar)
zip(102240528 bytes), zip(96430384 bytes), zip(57766323 bytes), zip(73542182 bytes), zip(68239503 bytes), zip(51859429 bytes), zip(79881524 bytes), zip(77159240 bytes), zip(85633869 bytes), zip(64352451 bytes), zip(124038870 bytes)Available download formats
Dataset updated
Dec 6, 2022
Dataset provided by
EDI
Authors
Kathryn Anderson
License

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

Time period covered
Jan 1, 1962 - Dec 31, 2005
Area covered
Variables measured
FID, Shape, ParcelID
Description

We constructed a time-series spatial dataset of parcel boundaries for the period 1962-2005, in roughly 4-year intervals, by digitizing historical plat maps for Dane County and combining them with the 2005 GIS digital parcel dataset. The resulting datasets enable the consistent tracking of subdivision and development for all parcels over a given time frame. The process involved 1) dissolving and merging the 2005 digital Dane County parcel dataset based on contiguity and name, 2) further merging 2005 parcels based on the hard copy 2005 Plat book, and then 3) the reverse chronological merging of parcels to reconstruct previous years, at 4-year intervals, based on historical plat books. Additional land use information such as 1) whether a structure was actually constructed (using the companion digitized aerial photo dataset), 2) cover crop, and 3) permeable surface area, can be added to these datasets at a later date.

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