{"id":26325195,"url":"https://github.com/kadyb/stars-parallel","last_synced_at":"2025-03-15T18:32:11.323Z","repository":{"id":189136150,"uuid":"679417070","full_name":"kadyb/stars-parallel","owner":"kadyb","description":"Tutorial on parallel processing of raster data in the {stars} package","archived":false,"fork":false,"pushed_at":"2023-09-22T11:24:09.000Z","size":8019,"stargazers_count":11,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-01-27T03:41:38.498Z","etag":null,"topics":["clustering","geospatial","gis","parallel-computing","performance","r","raster","tutorial"],"latest_commit_sha":null,"homepage":"https://kadyb.github.io/stars-parallel/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kadyb.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-08-16T19:47:51.000Z","updated_at":"2023-09-20T12:15:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"c26a6f22-7b91-460f-897e-c56123bf6d40","html_url":"https://github.com/kadyb/stars-parallel","commit_stats":{"total_commits":13,"total_committers":1,"mean_commits":13.0,"dds":0.0,"last_synced_commit":"182fe078d94e45a62a5c1b1f39246619b0e241af"},"previous_names":["kadyb/stars-parallel"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kadyb%2Fstars-parallel","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kadyb%2Fstars-parallel/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kadyb%2Fstars-parallel/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kadyb%2Fstars-parallel/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kadyb","download_url":"https://codeload.github.com/kadyb/stars-parallel/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243775164,"owners_count":20346146,"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":["clustering","geospatial","gis","parallel-computing","performance","r","raster","tutorial"],"created_at":"2025-03-15T18:32:10.111Z","updated_at":"2025-03-15T18:32:11.311Z","avatar_url":"https://github.com/kadyb.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Parallel raster processing in the {stars} package \n\nThe following tutorial demonstrates the parallel processing of huge (out-of-memory) raster\ndata in the [**stars**](https://github.com/r-spatial/stars) package. The discussed example\nconcerns the unsupervised classification of multispectral satellite images. The used technique\nallows you to divide the image into smaller blocks and process them simultaneously (rather\nthan sequentially), so you will notice an increase in performance.\n\n### [Tutorial](https://kadyb.github.io/stars-parallel/Tutorial.html)\n\n![gif](gif.gif)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkadyb%2Fstars-parallel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkadyb%2Fstars-parallel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkadyb%2Fstars-parallel/lists"}