Abstract
High-quality historical data about US Congressional elections has long provided common ground for electoral studies. However, advances in geographic information science have recently made it efficient to compile, distribute, and analyze large spatio-temporal data sets on the structure of US Congressional districts. A single spatio-temporal data set that relates US Congressional election results to the spatial extent of the constituencies has not yet been developed. To address this, existing high-quality data sets of elections returns were combined with a spatiotemporal data set on Congressional district boundaries to generate a new spatio-temporal database of US Congressional election results that are explicitly linked to the geospatial data about the districts themselves.
Original language | English |
---|---|
Journal | Scientific Data |
Volume | 4 |
DOIs | |
Publication status | Published - 15 Aug 2017 |
Keywords
- geography
- government
- politics
Fingerprint
Dive into the research topics of 'Spatiotemporal database of US congressional elections, 1896-2014'. Together they form a unique fingerprint.Prizes
-
Doctoral Dissertation Research: New Methods for Spatial Analysis of Electoral Districts
Wolf, Levi J (Recipient) & Rey, S. (Recipient), 28 Feb 2017
Prize: Prizes, Medals, Awards and Grants
Profiles
-
Dr Levi J Wolf
- School of Geographical Sciences - Senior Lecturer in Quantitative Human Geography
- Bristol Poverty Institute
- Cabot Institute for the Environment
Person: Academic , Member