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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "mgwrsar" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'mgwrsar: GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR/GTWR
  (Top-Down Scale Approaches)'
version: 1.3.2
doi: 10.1016/j.regsciurbeco.2017.04.001
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mgwrsar
abstract: Provides methods for Geographically Weighted Regression with spatial autocorrelation
  (Geniaux and Martinetti 2017) <https://doi.org/10.1016/j.regsciurbeco.2017.04.001>.
  Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches
  (Geniaux 2026) <https://doi.org/10.1007/s10109-025-00481-4>.
authors:
- family-names: Geniaux
  given-names: Ghislain
  email: ghislain.geniaux@inrae.fr
- family-names: Martinetti
  given-names: Davide
- family-names: Martinez
  given-names: César
preferred-citation:
  type: article
  title: A new method for dealing simultaneously with spatial autocorrelation and
    spatial heterogeneity in regression models
  authors:
  - family-names: Geniaux
    given-names: Ghislain
    email: ghislain.geniaux@inrae.fr
  - family-names: Martinetti
    given-names: Davide
  journal: Regional Science and Urban Economics
  year: '2017'
  doi: 10.1016/j.regsciurbeco.2017.04.001
  keywords:
  - Local models
  - Geographically weighted regression
  - Mixed GWR
  - SAR
repository: https://ggeniaux.r-universe.dev
commit: 451be9bb9f5683f0febd10568bca8fdf5ed70f10
date-released: '2026-03-02'
contact:
- family-names: Geniaux
  given-names: Ghislain
  email: ghislain.geniaux@inrae.fr