{"id":13408174,"url":"https://github.com/r-spatial/gstat","last_synced_at":"2025-03-14T12:32:17.267Z","repository":{"id":3079479,"uuid":"48376233","full_name":"r-spatial/gstat","owner":"r-spatial","description":"Spatial and spatio-temporal geostatistical modelling, prediction and simulation","archived":false,"fork":false,"pushed_at":"2024-08-23T12:53:02.000Z","size":40629,"stargazers_count":195,"open_issues_count":49,"forks_count":49,"subscribers_count":19,"default_branch":"main","last_synced_at":"2024-10-29T20:55:51.408Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://r-spatial.github.io/gstat/","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/r-spatial.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGES","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2015-12-21T14:31:08.000Z","updated_at":"2024-10-09T03:05:41.000Z","dependencies_parsed_at":"2024-01-14T17:04:12.317Z","dependency_job_id":"e61365b2-d0c1-4561-aff6-ad1d7aafa143","html_url":"https://github.com/r-spatial/gstat","commit_stats":{"total_commits":273,"total_committers":12,"mean_commits":22.75,"dds":"0.20879120879120883","last_synced_commit":"5dbe096f58497cb1795907ece4451a4cc82d52be"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r-spatial%2Fgstat","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r-spatial%2Fgstat/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r-spatial%2Fgstat/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r-spatial%2Fgstat/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/r-spatial","download_url":"https://codeload.github.com/r-spatial/gstat/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243578574,"owners_count":20313856,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-30T20:00:51.231Z","updated_at":"2025-03-14T12:32:17.242Z","avatar_url":"https://github.com/r-spatial.png","language":"C","funding_links":[],"categories":["Software"],"sub_categories":["Geostatistics"],"readme":"gstat\n=====\n \u003c!-- badges: start --\u003e\n[![R-CMD-check](https://github.com/r-spatial/gstat/workflows/rcmdcheck/badge.svg)](https://github.com/r-spatial/gstat/actions/workflows/rcmdcheck.yml)\n[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/r-spatial/gstat?branch=master\u0026svg=true)](https://ci.appveyor.com/project/edzerpebesma/gstat)\n[![License](http://img.shields.io/badge/license-GPL%20%28%3E=%202%29-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html)\n[![CRAN](http://www.r-pkg.org/badges/version/gstat)](https://cran.r-project.org/package=gstat)\n[![cran checks](https://badges.cranchecks.info/worst/gstat.svg)](https://cran.r-project.org/web/checks/check_results_gstat.html)\n[![Downloads](http://cranlogs.r-pkg.org/badges/gstat?color=brightgreen)](http://www.r-pkg.org/pkg/gstat)\n\u003c!-- badges: end --\u003e\n\nSpatial and spatio-temporal geostatistical modelling, prediction and simulation.\n\nSee:\n\n* Pebesma, E.J., 2004. Multivariable geostatistics in S: the gstat package.  Computers \u0026 Geosciences, 30: [683-691](http://www.sciencedirect.com/science/article/pii/S0098300404000676).\n* Benedikt Gräler, Edzer Pebesma and Gerard Heuvelink, 2016. Spatio-Temporal Interpolation using gstat. The R Journal 8(1), [204-218](https://journal.r-project.org/archive/2016-1/na-pebesma-heuvelink.pdf)\n\nThe older publication,\n\n* Pebesma, E.J. and C.G. Wesseling, 1998. Gstat,\na program for geostatistical modelling, prediction\nand simulation. Computers \u0026 Geosciences 24 (1),\n[17–31](http://www.sciencedirect.com/science/article/pii/S0098300497000824).\n\ndescribes material that is now archived in branch [attic](https://github.com/r-spatial/gstat/tree/attic)\n\n## Installing\n\nInstall either from CRAN with\n\n``` r\ninstall.packages(\"gstat\")\n``` \n\nor development version from GitHub with\n\n``` r\nlibrary(remotes)\ninstall_github(\"r-spatial/gstat\")\n``` \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr-spatial%2Fgstat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fr-spatial%2Fgstat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr-spatial%2Fgstat/lists"}