Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.
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.
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.
Geospatial data about Madison, Wisconsin Wards. Export to CAD, GIS, PDF, CSV and access via API.
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.
Geospatial data about Madison, Wisconsin Zoning Districts. Export to CAD, GIS, PDF, CSV and access via API.
This data set contains population and housing data from the 1990 census and the 2000 census for Dane County, Wisconsin.
Contours dataset current as of 2009. 2005 4-Foot Contours.
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.
Business Analyst Layer: Dashboard source - Areas - Infographics
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.
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
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
Business Analyst Layer: Dashboard source - Areas
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
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.
Bike BoxesThis data layer is used by the Dane County Bicycle Map application.
This data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.