Process.md

Steps for analysis

0. clipdatafiles.R
   • Trim environmental datasets to CA
1. sampledata.R :
   • randomly assign points in California
   • randomly assign positive cases
   • created dataframe with sample number, lat, long, status, sex, age, date
2. case_distmetrics.R : calculate distance measures.
   • mean distance from positive cases
   • distance to nearest positive case
   • distance to CA border
3. buffermetrics.R: Make buffers & pull data!
   • make buffers 5km2
   • tabulate intersect landcover within buffer
   • Ruggedness (sd of elevation within buffer)
   • highway density within buffer
4. regression.R
   • Rare-events Logistic Regression, package Zelig
5. rasters.R
   • New raster preparation
   • predict and plot risk map!