6 datasets found
  1. o

    Population Distribution Workflow using Census API in Jupyter Notebook:...

    • openicpsr.org
    delimited
    Updated Jul 23, 2020
    + more versions
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    Cooper Goodman; Nathanael Rosenheim; Wayne Day; Donghwan Gu; Jayasaree Korukonda (2020). Population Distribution Workflow using Census API in Jupyter Notebook: Dynamic Map of Census Tracts in Boone County, KY, 2000 [Dataset]. http://doi.org/10.3886/E120382V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Jul 23, 2020
    Dataset provided by
    Texas A&M University
    Authors
    Cooper Goodman; Nathanael Rosenheim; Wayne Day; Donghwan Gu; Jayasaree Korukonda
    License

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

    Time period covered
    2000
    Area covered
    Boone County
    Description

    This archive reproduces a figure titled "Figure 3.2 Boone County population distribution" from Wang and vom Hofe (2007, p.60). The archive provides a Jupyter Notebook that uses Python and can be run in Google Colaboratory. The workflow uses the Census API to retrieve data, reproduce the figure, and ensure reproducibility for anyone accessing this archive.The Python code was developed in Google Colaboratory, or Google Colab for short, which is an Integrated Development Environment (IDE) of JupyterLab and streamlines package installation, code collaboration, and management. The Census API is used to obtain population counts from the 2000 Decennial Census (Summary File 1, 100% data). Shapefiles are downloaded from the TIGER/Line FTP Server. All downloaded data are maintained in the notebook's temporary working directory while in use. The data and shapefiles are stored separately with this archive. The final map is also stored as an HTML file.The notebook features extensive explanations, comments, code snippets, and code output. The notebook can be viewed in a PDF format or downloaded and opened in Google Colab. References to external resources are also provided for the various functional components. The notebook features code that performs the following functions:install/import necessary Python packagesdownload the Census Tract shapefile from the TIGER/Line FTP Serverdownload Census data via CensusAPI manipulate Census tabular data merge Census data with TIGER/Line shapefileapply a coordinate reference systemcalculate land area and population densitymap and export the map to HTMLexport the map to ESRI shapefileexport the table to CSVThe notebook can be modified to perform the same operations for any county in the United States by changing the State and County FIPS code parameters for the TIGER/Line shapefile and Census API downloads. The notebook can be adapted for use in other environments (i.e., Jupyter Notebook) as well as reading and writing files to a local or shared drive, or cloud drive (i.e., Google Drive).

  2. TIGER/Line Shapefile, Current, County, Boone County, MO, All Roads

    • catalog.data.gov
    Updated Aug 7, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Boone County, MO, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-boone-county-mo-all-roads
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    Dataset updated
    Aug 7, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Boone County, Missouri
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  3. d

    Geologic map of the Jasper quadrangle, Newton and Boone Counties, Arkansas

    • search.dataone.org
    Updated Oct 29, 2016
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    Hudson, Mark R.; Murray, Kyle E.; Pezzutti, Deborah (2016). Geologic map of the Jasper quadrangle, Newton and Boone Counties, Arkansas [Dataset]. https://search.dataone.org/view/734a0e2d-d2db-4790-a6b3-25fc920cf80d
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Hudson, Mark R.; Murray, Kyle E.; Pezzutti, Deborah
    Area covered
    Description

    This digital geologic map compilation presents new polygon (i.e., geologic map unit contacts), line (i.e., fault, fold axis, and structure contour), and point (i.e., structural attitude, contact elevations) vector data for the Jasper 7 1/2' quadrangle in northern Arkansas. The map database, which is at 1:24,000-scale resolution, provides geologic coverage of an area of current hydrogeologic, tectonic, and stratigraphic interest. The Jasper quadrangle is located in northern Newton and southern Boone Counties about 20 km south of the town of Harrison. The map area is underlain by sedimentary rocks of Ordovician, Mississippian, and Pennsylvanian age that were mildly deformed by a series of normal and strike-slip faults and folds. The area is representative of the stratigraphic and structural setting of the southern Ozark Dome. The Jasper quadrangle map provides new geologic information for better understanding groundwater flow paths in and adjacent to the Buffalo River watershed.

  4. d

    OrthoImagery Submission for Boone County, Illinois, USA

    • catalog.data.gov
    Updated Nov 12, 2020
    + more versions
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    FEMA, Map Service Center (Point of Contact) (2020). OrthoImagery Submission for Boone County, Illinois, USA [Dataset]. https://catalog.data.gov/ne/dataset/orthoimagery-submission-for-boone-county-illinois-usa
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    FEMA, Map Service Center (Point of Contact)
    Area covered
    Boone County, Illinois, United States
    Description

    Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has beeen removed for sensor distortions and orientation, and terrain relief. Digital orthoimages have the geometric characteristics of a map, and image qualities of a photograph. (Source: Circular A-16, p. 16)

  5. i

    Wealth Statistics for Boone County, Kentucky

    • interactive-map-ai.com
    Updated Nov 27, 2025
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    Map AI (2025). Wealth Statistics for Boone County, Kentucky [Dataset]. https://interactive-map-ai.com/explore/us/KY/boone-county/wealth
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Map AI
    Time period covered
    2020 - Present
    Area covered
    Variables measured
    Gini Index, Unemployment Rate, Median Household Income
    Description

    Boone County, KY has a B wealth grade. Median household income: $95,462. Unemployment rate: 2.8%. Income grows 4.7% yearly.

  6. a

    City Limits of Columbia, MO

    • datahub-gocolumbiamo.opendata.arcgis.com
    Updated Feb 28, 2019
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    City of Columbia, Missouri (2019). City Limits of Columbia, MO [Dataset]. https://datahub-gocolumbiamo.opendata.arcgis.com/datasets/3c8d21d52665425995642ef964f27dc6
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    Dataset updated
    Feb 28, 2019
    Dataset authored and provided by
    City of Columbia, Missouri
    Area covered
    Description

    This polygon represents the legal description of the Corporate Limit of the City of Columbia, Missouri, as kept by the City Land Surveyor. https://datahub-gocolumbiamo.opendata.arcgis.com/

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

Share
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TwitterTwitter
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Click to copy link
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Close
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Cooper Goodman; Nathanael Rosenheim; Wayne Day; Donghwan Gu; Jayasaree Korukonda (2020). Population Distribution Workflow using Census API in Jupyter Notebook: Dynamic Map of Census Tracts in Boone County, KY, 2000 [Dataset]. http://doi.org/10.3886/E120382V1

Population Distribution Workflow using Census API in Jupyter Notebook: Dynamic Map of Census Tracts in Boone County, KY, 2000

Explore at:
delimitedAvailable download formats
Dataset updated
Jul 23, 2020
Dataset provided by
Texas A&M University
Authors
Cooper Goodman; Nathanael Rosenheim; Wayne Day; Donghwan Gu; Jayasaree Korukonda
License

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

Time period covered
2000
Area covered
Boone County
Description

This archive reproduces a figure titled "Figure 3.2 Boone County population distribution" from Wang and vom Hofe (2007, p.60). The archive provides a Jupyter Notebook that uses Python and can be run in Google Colaboratory. The workflow uses the Census API to retrieve data, reproduce the figure, and ensure reproducibility for anyone accessing this archive.The Python code was developed in Google Colaboratory, or Google Colab for short, which is an Integrated Development Environment (IDE) of JupyterLab and streamlines package installation, code collaboration, and management. The Census API is used to obtain population counts from the 2000 Decennial Census (Summary File 1, 100% data). Shapefiles are downloaded from the TIGER/Line FTP Server. All downloaded data are maintained in the notebook's temporary working directory while in use. The data and shapefiles are stored separately with this archive. The final map is also stored as an HTML file.The notebook features extensive explanations, comments, code snippets, and code output. The notebook can be viewed in a PDF format or downloaded and opened in Google Colab. References to external resources are also provided for the various functional components. The notebook features code that performs the following functions:install/import necessary Python packagesdownload the Census Tract shapefile from the TIGER/Line FTP Serverdownload Census data via CensusAPI manipulate Census tabular data merge Census data with TIGER/Line shapefileapply a coordinate reference systemcalculate land area and population densitymap and export the map to HTMLexport the map to ESRI shapefileexport the table to CSVThe notebook can be modified to perform the same operations for any county in the United States by changing the State and County FIPS code parameters for the TIGER/Line shapefile and Census API downloads. The notebook can be adapted for use in other environments (i.e., Jupyter Notebook) as well as reading and writing files to a local or shared drive, or cloud drive (i.e., Google Drive).

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