# ------------------------------------------------
# CITATION.cff 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 "gcf" in publications use:'
type: software
license: GPL-3.0-only
title: 'gcf: Generalized Covariate Field'
version: 0.1.1
doi: 10.1080/13658816.2026.2729719
identifiers:
- type: doi
  value: 10.32614/CRAN.package.gcf
abstract: 'Generates generalized covariate field (GCF) variables from spatial covariates
  observed at projected coordinates, and selects a stable subset of them for geospatial
  prediction. For each input covariate the method builds spatial-pattern features
  (local indicator of spatial association, local Geary''s c, log local variance, rank
  quantile entropy, geocomplexity, log scale variance, local variogram exponent, and
  signed z-score and median absolute deviation outlier strengths over a series of
  buffer radii) and neighbourhood-distribution features (buffer-wise quantiles of
  the covariate values surrounding each location), reduces the buffer and quantile
  sweeps to a compact set of interpretable functional summaries, and selects variables
  by random forest importance combined with spatial-block stability resampling and
  group voting. The GCF method is positioned as prediction-oriented feature construction:
  its output feeds any downstream regression learner. Methods are described in Song
  (2026) <https://doi.org/10.1080/13658816.2026.2729719>.'
authors:
- family-names: Song
  given-names: Yongze
  email: yongze.song@outlook.com
  orcid: https://orcid.org/0000-0003-3420-9622
preferred-citation:
  type: article
  title: 'Generalized covariate field (GCF): spatial-pattern and neighbourhood-distribution
    feature expansion improves geospatial prediction'
  authors:
  - family-names: Song
    given-names: Yongze
    email: yongze.song@outlook.com
    orcid: https://orcid.org/0000-0003-3420-9622
  journal: International Journal of Geographical Information Science
  year: '2026'
  volume: '40'
  doi: 10.1080/13658816.2026.2729719
  start: '1'
  end: '29'
repository: https://cran.r-universe.dev
commit: a5a96740608765b1e7ed1bd716e21c620ba38fba
date-released: '2026-09-30'
contact:
- family-names: Song
  given-names: Yongze
  email: yongze.song@outlook.com
  orcid: https://orcid.org/0000-0003-3420-9622