Spatial point process models for location-allocation problems
type: Item
instance of: scholarly article
title: Spatial point process models for location-allocation problems
zbMATH Open document ID: 1453.62049
author: Florent Bonneu
author: Christine Thomas-Agnan
published in: Computational Statistics and Data Analysis
publication date: 2010-04-01T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62M09
Mathematics Subject Classification ID: 60G55
Mathematics Subject Classification ID: 90B80
Mathematics Subject Classification ID: 90B85
zbMATH DE Number: 5689069
describes a project that uses: spatstat
describes a project that uses: bootlib
MaRDI profile type: Publication
full work available at URL: j.csda.2008.10.016
OpenAlex ID: W1999537251
cites work: Modelling Spatial Point Patterns in R
cites work: Mass transportation and the consistency of the empirical optimal conditional locations
cites work: Q4826162
cites work: Solution of the multisource Weber and conditional Weber problems by d. -c. programming
cites work: Heuristic Methods for Location-Allocation Problems
cites work: Bootstrap Confidence Regions for the Intensity of a Poisson Point Process
cites work: Q4370586
cites work: Sensitivity analysis of the optimal location of a facility
cites work: Multicriteria Optimization
cites work: Locating Emergency Vehicle Bases When Service Time Depends on Call Location
cites work: A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns
cites work: Resampling a coverage pattern
cites work: Q4079017
cites work: Comparison of genetic algorithms, random restart and two-opt switching for solving large location-allocation problems
cites work: Q4461334
cites work: Q4807532
cites work: Location analysis: a synthesis and survey
cites work: Is bootstrap really helpful in point process statistics?
DOI: 10.1016/J.CSDA.2008.10.016
description: scientific article; zbMATH DE number 5689069