R: Hot-Spot Analysis with Simple Features

# Hot-Spot Analysis with Simple Features

## Documentation for package ‘sfhotspot’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

autolayer.hspt_d | Plot map of changes in grid counts
autolayer.hspt_k | Plot map of kernel-density values
autolayer.hspt_n | Plot map of grid counts
autoplot.hspt_c | Plot map of hotspot classifications
autoplot.hspt_d | Plot map of changes in grid counts
autoplot.hspt_k | Plot map of kernel-density values
autoplot.hspt_n | Plot map of grid counts
hotspot_change | Identify change in hotspots over time
hotspot_classify | Classify hot-spots
hotspot_classify_params | Control the parameters used to classify hotspots
hotspot_clip | Extract points inside polygon
hotspot_count | Count points in cells in a two-dimensional grid
hotspot_dual_kde | Estimate the relationship between the kernel density of two layers of points
hotspot_gistar | Identify significant spatial clusters of points
hotspot_grid | Create either a rectangular or hexagonal two-dimensional grid
hotspot_kde | Estimate two-dimensional kernel density of points
memphis_population | Populations of census blocks in Memphis in 2020
memphis_precincts | Memphis Police Department Precincts
memphis_robberies | Personal robberies in Memphis in 2019
memphis_robberies_jan | Personal robberies in Memphis in January 2019
st_transform_auto | Toggle between lon/lat and UTM co-ordinates