Package: geocomplexity
Title: Mitigating Spatial Bias Through Geographical Complexity
Version: 0.3.1
Authors@R: c(
      person(given = "Wenbo", family = "Lyu",
             email = "lyu.geosocial@gmail.com", 
             role = c("aut", "cre", "cph"),
             comment = c(ORCID = "0009-0002-6003-3800")),
      person(given = "Yongze", family = "Song",
             email = "yongze.song@outlook.com", 
             role = c("aut"),
             comment = c(ORCID = "0000-0003-3420-9622")),
      person(given = "Zehua", family = "Zhang",
             email = "levizhang0111@gmail.com", 
             role = c("aut"),
             comment = c(ORCID = "0000-0003-3462-4025"))
      )
Description: The geographical complexity of individual variables can be
        characterized by the differences in local attribute variables,
        while the common geographical complexity of multiple variables
        can be represented by fluctuations in the similarity of vectors
        composed of multiple variables. In spatial regression tasks,
        the goodness of fit can be improved by incorporating a
        geographical complexity representation vector during modeling,
        using a geographical complexity-weighted spatial weight matrix,
        or employing local geographical complexity kernel density.
        Similarly, in spatial sampling tasks, samples can be selected
        more effectively by using a method that weights based on
        geographical complexity. By optimizing performance in spatial
        regression and spatial sampling tasks, the spatial bias of the
        model can be effectively reduced.
License: GPL-3
Encoding: UTF-8
URL: https://ausgis.github.io/geocomplexity/,
        https://github.com/ausgis/geocomplexity
BugReports: https://github.com/ausgis/geocomplexity/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, purrr, sdsfun, sf, stats, terra, tibble
Suggests: gdverse, ggplot2, infoxtr, knitr, Rcpp, RcppArmadillo,
        rmarkdown, spEDM, viridis
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://ausgis.r-universe.dev
Date/Publication: 2026-03-27 03:53:46 UTC
RemoteUrl: https://github.com/ausgis/geocomplexity
RemoteRef: HEAD
RemoteSha: 89af59c8213a4e9205f78a65718776266ebc5fca
NeedsCompilation: yes
Packaged: 2026-05-26 10:16:18 UTC; root
Author: Wenbo Lyu [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0002-6003-3800>),
  Yongze Song [aut] (ORCID: <https://orcid.org/0000-0003-3420-9622>),
  Zehua Zhang [aut] (ORCID: <https://orcid.org/0000-0003-3462-4025>)
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>