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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 "geostatsp" in publications use:'
type: software
license: GPL-1.0-only
title: 'geostatsp: Geostatistical Modelling with Likelihood and Bayes'
version: 2.0.6
doi: 10.18637/jss.v063.i12
identifiers:
- type: doi
  value: 10.32614/CRAN.package.geostatsp
abstract: Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector'
  objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical
  models use Maximum Likelihood Estimation. For details see Brown (2015) <https://doi.org/10.18637/jss.v063.i12>.
  The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.
authors:
- family-names: Brown
  given-names: Patrick
  email: patrick.brown@utoronto.ca
preferred-citation:
  type: article
  title: Model-based geostatistics the easy way
  authors:
  - family-names: Brown
    given-names: Patrick E
  journal: Journal of Statistical Software
  volume: '63'
  issue: '12'
  year: '2015'
  doi: 10.18637/jss.v063.i12
  start: '1'
  end: '24'
repository: https://CRAN.R-project.org/package=geostatsp
date-released: '2024-02-20'
contact:
- family-names: Brown
  given-names: Patrick
  email: patrick.brown@utoronto.ca
references:
- type: manual
  title: Geostatistical Modelling with Likelihood and Bayes
  authors:
  - family-names: Brown
    given-names: Patrick E
  year: '2024'
  notes: R package version 2.0.6
  url: https://CRAN.R-project.org/package=geostatsp