Function reference • sfhotspot

Analysing hotspots

hotspot_count(): Count points in cells in a two-dimensional grid

hotspot_change(): Identify change in hotspots over time

hotspot_kde(): Estimate two-dimensional kernel density of points

hotspot_dual_kde(): Estimate the relationship between the kernel density of two layers of points

hotspot_gistar(): Identify significant spatial clusters of points

hotspot_classify(): Classify hot-spots

hotspot_classify_params(): Control the parameters used to classify hotspots

hotspot_grid(): Create either a rectangular or hexagonal two-dimensional grid

Plotting results

autoplot(<hspt_c>): Plot map of hotspot classifications

autoplot(<hspt_d>) autolayer(<hspt_d>): Plot map of changes in grid counts

autoplot(<hspt_k>) autolayer(<hspt_k>): Plot map of kernel-density values

autoplot(<hspt_n>) autolayer(<hspt_n>): Plot map of grid counts

Sample data

memphis_population: Populations of census blocks in Memphis in 2020

memphis_robberies: Personal robberies in Memphis in 2019

memphis_robberies_jan: Personal robberies in Memphis in January 2019