## What’s in this release
- CSV workflow applying correlograms (Moran’s I, Geary’s C) and semivariograms (gstat).
- Binning by distance (max lag = 1/3 max pairwise distance), plots, and comparisons.
## How to view (live)
- https://parker-group.github.io/spatial\_depend\_2/
## How to run locally
1) install.packages(c('spdep','sp','sf','ggplot2','gstat','rmarkdown'))
2) rmarkdown::render('CorrelVariogram_pt2.rmd', output_format='html_document', output_file='index.html')
## Datasets
- dummy_strong_spatial.csv (COVIDincid; positive; strong spatial trend)
- dummy_no_spatial.csv (KuruPrev; little/no spatial trend)
## Changes since last release
- N/A (first release)