7 datasets found
  1. e

    Race in the US by Dot Density

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Jan 10, 2020
    + more versions
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    ArcGIS Living Atlas Team (2020). Race in the US by Dot Density [Dataset]. https://coronavirus-resources.esri.com/maps/71df79b33d4e4db28c915a9f16c3074e
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

  2. a

    Population Density Map - Map Service

    • hub.arcgis.com
    Updated Aug 15, 2012
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    Damian's Organization (2012). Population Density Map - Map Service [Dataset]. https://hub.arcgis.com/datasets/1607107bf62446fba9704ccf510d46ed_0
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    Dataset updated
    Aug 15, 2012
    Dataset authored and provided by
    Damian's Organization
    Area covered
    Description

    This map shows density surfaces derived from the 2010 US Census block points.The block points were interpolated using the density function to a 2km x 2km grid of the continental US (with water and coastal data masks). There are many stories in these Maps:- What is that clean North/South Line through the center? Why do so many people live East of that line?- Notice the paths of the towns in the west – why are they so linear? And it seems there is a pattern to the spaces between the towns, why?- Looking at the ethnic maps, what explains the patterns? Look at the % Native American map – what are the areas of higher values? (note I did not make a % Asian map as at this scale there was not enough % to show any significant clusters.)

  3. d

    Terrestrial Condition Assessment (TCA) Feral Pig Density (Map Service)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Apr 21, 2025
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    U.S. Forest Service (2025). Terrestrial Condition Assessment (TCA) Feral Pig Density (Map Service) [Dataset]. https://catalog.data.gov/dataset/terrestrial-condition-assessment-tca-feral-pig-density-map-service-42e23
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Forest Service
    Description

    Data are derived from generalized linear models and model selection techniques using 129 estimates of population density of wild pigs (Sus scrofa) from 5 continents. Models were used to determine the strength of association among a diverse set of biotic and abiotic factors associated with wild pig population dynamics. The models and associated factors were used to predict the potential population density of wild pigs at the 1 km resolution. Predictions were then compared with available population estimates for wild pigs on their native range in North America indicating the predicted densities are within observed values. See Lewis et al (2017) and Lewis et al (2019) for more information.Lewis, Jesse S., Matthew L. Farnsworth, Chris L. Burdett, David M. Theobald, Miranda Gray, and Ryan S. Miller. "Biotic and abiotic factors predicting the global distribution and population density of an invasive large mammal." Scientific reports7 (2017): 44152.Lewis, Jesse S., Joseph L. Corn, John J. Mayer, Thomas R. Jordan, Matthew L. Farnsworth, Christopher L. Burdett, Kurt C. VerCauteren, Steven J. Sweeney, and Ryan S. Miller. "Historical, current, and potential population size estimates of invasive wild pigs (Sus scrofa) in the United States." Biological Invasions21, no. 7 (2019): 2373-2384.

  4. c

    2012 11: Popular Vote Density Map 2012 Presidential Election Results by...

    • opendata.mtc.ca.gov
    Updated Nov 28, 2012
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    MTC/ABAG (2012). 2012 11: Popular Vote Density Map 2012 Presidential Election Results by County [Dataset]. https://opendata.mtc.ca.gov/documents/9dff27c82bd8468c998675d3268bbf48
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    Dataset updated
    Nov 28, 2012
    Dataset authored and provided by
    MTC/ABAG
    License

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

    Description

    The typical statewide or county-wide red/blue map (shown at left) depicts presidential voting results on a winner-take-all basis, so they award an entire geographical area to the Republican or Democratic candidate no matter how close the actual vote tally The large map in the attachment factors in both the percentage of the popular vote won by each candidate as well as the population density of each county. So, the sparsely populated Great Plains and Rocky Mountain West are shown in a much lighter color than the Eastern Seaboard, and the map as a whole is more purple than either red or blue. Perhaps the United States is less divided than some maps would lead us to believe.

  5. u

    Data from: White-tailed deer density estimates across the eastern United...

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 30, 2023
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    Brian F. Walters; Christopher W. Woodall; Matthew B. Russell (2023). White-tailed deer density estimates across the eastern United States, 2008 [Dataset]. http://doi.org/10.13020/D6G014
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    University of Minnesota
    Authors
    Brian F. Walters; Christopher W. Woodall; Matthew B. Russell
    License

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

    Area covered
    United States
    Description

    In 2008, the Quality Deer Management Association (QDMA) developed a map of white-tailed deer density with information obtained from state wildlife agencies. The map contains information from 2001 to 2005, with noticeable changes since the development of the first deer density map made by QDMA in 2001. The University of Minnesota, Forest Ecosystem Health Lab and the US Department of Agriculture, Forest Service-Northern Research Station have digitized the deer density map to provide information on the status and trends of forest health across the eastern United States. The QDMA spatial map depicting deer density (deer per square mile) was digitized across the eastern United States. Estimates of deer density were: White = rare, absent, or urban area with unknown population, Green = less than 15 deer per square mile, Yellow = 15 to 30 deer per square mile, Orange = 30 to 40 deer per square mile, or Red = greater than 45 deer per square mile. These categories represent coarse deer density levels as identified in the QDMA report in 2009 and should not be used to represent current or future deer densities across the study region. Sponsorship: Quality Deer Management Association; US Department of Agriculture, Forest Service-Northern Research Station; Minnesota Agricultural Experiment Station. Resources in this dataset:Resource Title: Link to DRUM catalog record. File Name: Web Page, url: https://conservancy.umn.edu/handle/11299/178246

  6. d

    Geologic Hazards Science Center GIS Server

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Apr 13, 2017
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    U.S. Geological Survey, Geologic Hazards Science Center (2017). Geologic Hazards Science Center GIS Server [Dataset]. https://search.dataone.org/view/7c572de7-9cec-4e5d-a005-559ab55f6829
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey, Geologic Hazards Science Center
    Time period covered
    Jan 1, 2006
    Area covered
    Earth
    Description

    The USGS Geologic Hazards Science Center (GHSC) in Golden, CO maintains a GIS server with services pertaining to various geologic hazard disciplines involving earthquakes and landslides. The online link provides an overview of the structure of this server and also outlines the GIS data it contains. The folders named eq (earthquakes), haz (earthquake hazards), and ls (landlsides) contain services with data associated with each discipline.

  7. a

    Lab 03 2010 Population Density Map in City of Chicago-Copy

    • hub.arcgis.com
    Updated Sep 29, 2017
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    sricha10 (2017). Lab 03 2010 Population Density Map in City of Chicago-Copy [Dataset]. https://hub.arcgis.com/maps/5f36a8723d794471aaf988a6cefad968
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    Dataset updated
    Sep 29, 2017
    Dataset authored and provided by
    sricha10
    Area covered
    Description

    Graduated color map of population density in Chicago in 2010, data from U.S. Census

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ArcGIS Living Atlas Team (2020). Race in the US by Dot Density [Dataset]. https://coronavirus-resources.esri.com/maps/71df79b33d4e4db28c915a9f16c3074e

Race in the US by Dot Density

Explore at:
Dataset updated
Jan 10, 2020
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

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