USelect: Results of the 2004 US presidential election at the county...
In GWmodel: Geographically-Weighted Models
USelect R Documentation
Results of the 2004 US presidential election at the county level (SpatialPolygonsDataFrame)
Description
Results of the 2004 US presidential election at the county level, together with five socio-economic (census) variables.
This data can be used with GW Discriminant Analysis.
Usage
data(USelect)
Format
A SpatialPolygonsDataFrame with 3111 electoral divisions on the following 6 variables.
- winner
Categorical variable with three classes: i) Bush, ii) Kerry and iii) Borderline (supporting ratio for a candidate ranges from 0.45 to 0.55)
- unemploy
percentage unemployed
- pctcoled
percentage of adults over 25 with 4 or more years of college education
- PEROVER65
percentage of persons over the age of 65
- pcturban
percentage urban
- WHITE
percentage white
References
Robinson, A. C. (2013). Geovisualization of the 2004 Presidential Election.
In: NATIONAL INSTITUTES OF HEALTH, P. S. U. (ed.). Penn State.
Foley, P. & Demsar, U. (2012). Using geovisual analytics to compare the
performance of geographically weighted discriminant analysis versus its global
counterpart, linear discriminant analysis. International Journal of Geographical
Information Science, 27, 633-661.
Examples
data(USelect)
ls()
GWmodel documentation built on Sept. 11, 2024, 9:09 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| USelect | R Documentation |
Results of the 2004 US presidential election at the county level (SpatialPolygonsDataFrame)
Description
Results of the 2004 US presidential election at the county level, together with five socio-economic (census) variables. This data can be used with GW Discriminant Analysis.
Usage
data(USelect)Format
A SpatialPolygonsDataFrame with 3111 electoral divisions on the following 6 variables.
- winner
Categorical variable with three classes: i) Bush, ii) Kerry and iii) Borderline (supporting ratio for a candidate ranges from 0.45 to 0.55)
- unemploy
percentage unemployed
- pctcoled
percentage of adults over 25 with 4 or more years of college education
- PEROVER65
percentage of persons over the age of 65
- pcturban
percentage urban
- WHITE
percentage white
References
Robinson, A. C. (2013). Geovisualization of the 2004 Presidential Election. In: NATIONAL INSTITUTES OF HEALTH, P. S. U. (ed.). Penn State.
Foley, P. & Demsar, U. (2012). Using geovisual analytics to compare the performance of geographically weighted discriminant analysis versus its global counterpart, linear discriminant analysis. International Journal of Geographical Information Science, 27, 633-661.
Examples
data(USelect)
ls()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.