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Proceedings of the First Annual UW GIS Symposium: Utilizing Data-Planet Datasets in ArcMap

Proceedings of the First Annual UW GIS Symposium
Utilizing Data-Planet Datasets in ArcMap
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table of contents
  1. Cover
  2. Title Page
  3. Contributors
  4. Contents
  5. Preface
  6. Lightning Talks
    1. Characterizing Spotted Owl Habitat with LiDAR
    2. Utilizing Data-Planet Datasets in ArcMap
    3. Workflow of Shallow-Water Hydrographic Mapping: Acquisition to Post-Processing
    4. UW eScience Geohackweek
    5. The Conservation Value of Place-Based Subsistence Mapping in Northwest Alaska
    6. A Platform for Managing River Surveys in GIS
    7. Swarm ASV Drifters
    8. Built Environment and Behavior: An Approach Based on Objective Data
  7. Posters
    1. Trash Talk: Optimal Urban Waste Design
    2. GNSS Location Accuracy
    3. Interactive Space Assessment in Tableau
    4. 210Pb Geochronology
    5. Evaluating the Expansion of Bike Share in Seattle
    6. Species Distribution and Land Use
    7. Evaluating Video Documentation as a Method for Monitoring Ecosystem Change
    8. Marine GIS
    9. Possible River and Ocean Locations on Mars’ Surface

Utilizing Data-Planet Datasets in ArcMap

Kian Flynn, UW Libraries

This spring, the University of Washington Libraries acquired access to Data-Planet, the largest repository of standardized and structured statistical data. In addition to providing users with access to statistical data from a broad array of sources like the U.S. Census Bureau, National Science Foundation, United Nations, and Zillow Real Estate, Data-Planet lets users download shapefiles of any datasets in their database that have geospatial data. To demonstrate the type of analysis you can do with Data-Planet datasets in ArcMap, this lightning talk analyzed county level U.S. data on the poverty rate, SNAP participation rate, and 2016 election results. An analysis of the data showed a stark "social services gap" — a condition where the poverty rate is higher than the SNAP participation rate — exists in some counties in the United States. These counties tend to be in more rural parts — specifically in the Mountain and Heartland regions — of the county. The median population of counties with a "social services gap" is 36,523; the median population of counties without such a gap is 20,871. In addition, these "gap" counties tended to vote more Republican in 2016. On average, an analysis of the data found that for every 4 percent increase in the "gap", the Democratic presidential candidate's share of the vote dropped by 3 percent.

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