Package index • spopt

Regionalization

Algorithms for spatially-constrained clustering

skater(): SKATER Spatial Clustering

azp(): Automatic Zoning Procedure (AZP)

max_p_regions(): Max-P Regions

spenc(): Spatially-Encouraged Spectral Clustering (SPENC)

ward_spatial(): Ward Spatial Clustering

Facility Location

Optimal facility siting algorithms

p_median(): P-Median Problem

p_center(): P-Center Problem

p_dispersion(): P-Dispersion Problem

lscp(): Location Set Covering Problem (LSCP)

mclp(): Maximum Coverage Location Problem (MCLP)

cflp(): Capacitated Facility Location Problem (CFLP)

frlm(): Flow Refueling Location Model (FRLM)

Market Analysis

Market share and competition modeling

huff(): Huff Model for Market Share Analysis

Utilities

Helper functions for spatial optimization

sp_weights(): Create spatial weights from an sf object

distance_matrix(): Compute distance matrix between sf objects

Data

Example datasets

tarrant_travel_times: Tarrant County Travel Time Matrix Example Data