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)

Route Optimization

Single- and multi-vehicle routing

route_tsp(): Traveling Salesman Problem (TSP)
route_vrp(): Vehicle Routing Problem (VRP)

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
second_areal_moment(): Second areal moment (i.e., second moment of inertia)
nmi(): Normalized moment of inertia (NMI)

Data

Example datasets

tarrant_travel_times: Tarrant County Travel Time Matrix Example Data
delivery_data: Delivery routing data for Fort Worth, TX