README.md

Spatial Regression Analysis

Spatial Regression Exercise for BIOL 5700, Advanced Data Analytics

This exercise will provide information for using R for spatial regression analysis including a discussion on spatial weight matrices, spatial models, model comparisons, and finally displaying the results using bivariate maps.

Exercise Webpage - https://chrismgentry.github.io/Spatial-Regression/

References for spatial regression analysis in R:

Below you will find resources and tutorials with will provide assistance with this exercise.

Bivand, R. and Piras, G. (2015). Comparing Implementations of Estimation Methods for Spatial Econometrics. Journal of Statistical Software, 63(18), 1-36

Applied Spatial Data Analysis with R. Bivand, R., Pebesma, E. and Gómez-Rubio, V. UseR! Series, Springer. 2008, 378 p., Softcover. ISBN: 978-0-387-78170-9

• A copy of this series can be found in the Data folder of this exercise.

Datasets

• Bureau of Labor Statistics (2017, 2010). Employment projections and Labor force statistics from the current population survey [Data file]. Retrieved from http://www.bls.gov/cps/data.htm
• County Health Rankings (2017, 2010). Health is where we live: 2017 rankings and 2010 county health rankings national data. Retrieved from http://www.countyhealthrankings.org/rankings/data
• National Center for Children in Poverty (2014, 2015) Child poverty and Home. Retrieved from http://www.nccp.org/.
• United States Census Bureau (2014). Educational attainment in the United States: 2016. Retrieved from http://www.census.gov/data/tables/2016/demo/education-attainment/cps-detailed-tables
• United States Department of Agriculture Economic Research Service (2015). Rural-urban continuum codes. Retrieved from http://www.ers.usda.gov/data-products/rural-urban-continuum-codes/
• United States Department of Housing and Urban Development (2017). Affordable housing. Retrieved from http://portal.hud.gov/hudportal/HUD?src=/program_offices/comm_planning/affordablehousing

Packages

• cowplot
• geosphere
• spdep
• spatialreg

Tutorials

• spdep
• spatialreg
• Spatial Data Science: Spatial Regression Models
• An Introduction to Spatial Econometrics in R
• Spatial Regression
• Mathematics in RMarkdown, reference for mathematical notation in RMarkdown

Helpful site for selecting color schemes

• http://colorbrewer2.org