Data and the R and WinBUGS code used in the paper.
Ecological Archives E091-246-S1.
Authors
File list (downloads)
Description
Matthew C. Fitzpatrick
University of Maryland Center for Environmental Science
Appalachian Lab
301 Braddock Road
Frostburg, MD 21532
mfitzpatrick@umces.edu
Evan L. Preisser
Department of Biological Sciences
University of Rhode Island
Kingston, RI 02881
Adam Porter
Department of Plant, Soil, and Insect Sciences
University of Massachusetts
Amherst, MA
Joseph S. Elkinton
Department of Plant, Soil, and Insect Sciences
University of Massachusetts
Amherst, MA
Lance A. Waller
Department of Biostatistics
Rollines School of Public Health
Emory University
Bradley P. Carlin
Division of Biostatistics
School of Public Health
University of Minnesota
Aaron M. Ellison
Harvard Forest
324 North Main Street
Petersham, MA 01366
code_and_data.zip
hwa_wombling.zip
womblingRcode.R
womblingFuncs.R
areal_wombling.bug
local_edge_wombling.bug
"code_and_data.zip" : An archive containing all data and code described below (5 files).
"hwa_wombling.zip" : A shapefile of the county-level spread data and covariates used in the paper.
"womblingRcode.R" : This file contains R code to perform the following analyses:
"womblingFuncs.R" : R code containing helper functions for plotting, etc called by code in womblingRcode.R.
- 1. Prepare geospatial data and covariates (contained in hwa_wombling.zip) for use in WinBUGS
- 2. Call WinBUGS code (using R2WinBUGS package) for the areal and local-edge wombling models.
- 3. Read output from WinBUGS and calcualte boundary probabilities.
- 4. Make maps of output that highlight boundary probabilities.
"areal_wombling.bug" : This file contains WinBUGS code to fit a Bayesian areal wombling model.
"local_edge_wombling.bug" : This file contains WinBUGS code to fit a Bayesian local edge wombling model.
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