Package: geosimilarity Title: Geographically Optimal Similarity Version: 3.10 Authors@R: c( person(given = "Yongze", family = "Song", email = "yongze.song@outlook.com", role = c("aut", "cph"), comment = c(ORCID = "0000-0003-3420-9622")), person(given = "Wenbo", family = "Lyu", email = "lyu.geosocial@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0009-0002-6003-3800")) ) Description: Understanding spatial association is essential for spatial statistical inference, including factor exploration and spatial prediction. Geographically optimal similarity (GOS) model is an effective method for spatial prediction, as described in Yongze Song (2022) . GOS was developed based on the geographical similarity principle, as described in Axing Zhu (2018) . GOS has advantages in more accurate spatial prediction using fewer samples and critically reduced prediction uncertainty. License: GPL-3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 URL: https://github.com/ausgis/geosimilarity, https://ausgis.github.io/geosimilarity/ BugReports: https://github.com/ausgis/geosimilarity/issues Depends: R (>= 4.1.0) Imports: stats, parallel, tibble, dplyr (>= 1.1.0), purrr, ggplot2, magrittr, ggrepel Suggests: cowplot, viridis, car, DescTools, PerformanceAnalytics, testthat (>= 3.0.0), sdsfun, rmarkdown, knitr LazyData: true VignetteBuilder: knitr Config/testthat/edition: 3 Repository: https://ausgis.r-universe.dev Date/Publication: 2026-03-29 03:53:58 UTC RemoteUrl: https://github.com/ausgis/geosimilarity RemoteRef: HEAD RemoteSha: cd3b796d548f93982b068aaae7c7bd602533146f NeedsCompilation: no Packaged: 2026-05-28 10:37:34 UTC; root Author: Yongze Song [aut, cph] (ORCID: ), Wenbo Lyu [aut, cre] (ORCID: ) Maintainer: Wenbo Lyu