v1.0.0 — Part 2: CSV workflow (correlogram + semivariogram)

## 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)