spopt 0.6.1
  • Installation
  • Tutorials
  • API
  • References
  • Site

      Contents:

      • Installation
        • Installing released version
        • Installing development version
      • Tutorials
        • Max-P Regionalization
        • Automatic Zoning Procedure (AZP) algorithm
        • SKATER
        • Ward
        • Regional-k-means
        • Random Regions
        • Max-P Regionalization for Multiple Components
        • The Location Set Covering Problem (LSCP)
        • Siting First Aid Stations with LSCP on Toronto’s University Campus
        • Capacitated Location Set Covering Problem–System Optimal (CLSCP-SO)
        • The Backup Coverage Location Problem (LSCP-B)
        • The Maximal Coverage Location Problem
        • Siting Restaurants with MCLP in San Francisco
        • P-Center Problem
        • The P-Median Problem
        • Comparing P-Median Variations
        • The P-Dispersion (max-min-min) Problem
        • Empirical examples of facility location problems
        • Backup Coverage Location Problem: An Empirical Example
        • The P-Dispersion Problem: An Empirical Example
      • API
        • Region Methods
        • Locate Methods
      • References
  • Page
      • Tutorials

Tutorials¶

Regionalization:

  • Max-P Regionalization
  • Automatic Zoning Procedure (AZP) algorithm
  • SKATER
  • Ward
  • Regional-k-means
  • Random Regions
  • Max-P Regionalization for Multiple Components

Locate:

  • The Location Set Covering Problem (LSCP)
  • Siting First Aid Stations with LSCP on Toronto’s University Campus
  • Capacitated Location Set Covering Problem–System Optimal (CLSCP-SO)
  • The Backup Coverage Location Problem (LSCP-B)
  • The Maximal Coverage Location Problem
  • Siting Restaurants with MCLP in San Francisco
  • P-Center Problem
  • The P-Median Problem
  • Comparing P-Median Variations
  • The P-Dispersion (max-min-min) Problem
  • Empirical examples of facility location problems
  • Backup Coverage Location Problem: An Empirical Example
  • The P-Dispersion Problem: An Empirical Example

Back to top

Source

© Copyright 2020-, pysal developers.
Created using Sphinx 7.3.7.