{"id":13736122,"url":"https://github.com/joheisig/Spatial_Data_in_R","last_synced_at":"2025-05-08T12:32:17.131Z","repository":{"id":191682831,"uuid":"160823445","full_name":"joheisig/Spatial_Data_in_R","owner":"joheisig","description":"🌌 SWIRL-course on spatial data in R :globe_with_meridians:","archived":false,"fork":false,"pushed_at":"2019-03-27T11:35:49.000Z","size":20049,"stargazers_count":7,"open_issues_count":1,"forks_count":1,"subscribers_count":0,"default_branch":"master","last_synced_at":"2024-11-15T04:31:48.749Z","etag":null,"topics":["course","gis","r","r-studio","remote-sensing","spatial-data-analysis","swirl"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joheisig.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2018-12-07T12:52:17.000Z","updated_at":"2024-07-28T02:34:16.000Z","dependencies_parsed_at":"2023-08-31T05:25:27.668Z","dependency_job_id":null,"html_url":"https://github.com/joheisig/Spatial_Data_in_R","commit_stats":null,"previous_names":["joheisig/spatial_data_in_r"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joheisig%2FSpatial_Data_in_R","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joheisig%2FSpatial_Data_in_R/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joheisig%2FSpatial_Data_in_R/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joheisig%2FSpatial_Data_in_R/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joheisig","download_url":"https://codeload.github.com/joheisig/Spatial_Data_in_R/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253068805,"owners_count":21848870,"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":["course","gis","r","r-studio","remote-sensing","spatial-data-analysis","swirl"],"created_at":"2024-08-03T03:01:16.179Z","updated_at":"2025-05-08T12:32:13.664Z","avatar_url":"https://github.com/joheisig.png","language":"R","funding_links":[],"categories":["Resources for `R`"],"sub_categories":["Testing your code"],"readme":"# Spatial Data in R\n\nThis is an interactive course on spatial data in R :globe_with_meridians:. It can be run inside e.g. RStudio with the [`swirl`](https://github.com/swirldev)-package 🌌. The project is in its development stage. Lessons listed below are already open for learning and testing. Suggestions and contributions are very welcome.\n\n## Installation\n\nInstall `swirl` and the current version of this course by running the following lines:\n\n```s\ninstall.packages(\"swirl\")\nlibrary(swirl)\ninstall_course_github(\"joheisig\", \"Spatial_Data_in_R\")\n```\n\n## Getting started\n\nWhen the `swirl`-package is loaded, activate the course environment:\n\n```s\nswirl()\n```\n\n`swirl` will ask for your name and present you with the course menu. After you selected 'Spatial Data in R' you can choose from all lessons availible.\n\n## Lessons\n* \u003cb\u003eRaster Basics:\u003c/b\u003e plot, crop and subset rasters, get basic meta data and stats \n* \u003cb\u003eVector Basics:\u003c/b\u003e explore point, line and polygon features, subset by attribute, create an overview map, calculate intersections\n* \u003cb\u003eImport \u0026 Export:\u003c/b\u003e read and write raster files, load shapefiles, import point features from csv, write shapefiles  \n* \u003cb\u003eCoordinate Reference Systems:\u003c/b\u003e awareness for spatial reference, query CRS, reproject/transform data\n\n## Lessons planned\n* \u003cb\u003eAdvanced Plotting\u003c/b\u003e \n* \u003cb\u003eWorking With Multiple Layers\u003c/b\u003e \n* \u003cb\u003eAccess Spatial Data\u003c/b\u003e \n* \u003cb\u003eTimeseries Basics\u003c/b\u003e \n* \u003cb\u003eLand Cover Classifications\u003c/b\u003e \n\n## Want to contribute?\nIf you find this course a useful resource for learning to use spatial data in R, then that's great. If you like it so much you want to help building the course and contribute your R skills, knowledge and ideas to the community, that's even better! Just send me a pull request and/or a message.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoheisig%2FSpatial_Data_in_R","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoheisig%2FSpatial_Data_in_R","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoheisig%2FSpatial_Data_in_R/lists"}