{"Type":"Package","Package":"clc","Title":"CORINE Land Cover Data and Styles","Version":"1.0.0","Authors@R":"c(\nperson(\"Jose\", \"Samos\", , \"jsamos@ugr.es\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4457-3439\")),\nperson(\"Universidad de Granada\", role = \"cph\")\n)","Description":"Streamline the management, analysis, and visualization of\nCORINE Land Cover data. Addresses challenges associated with its\nclassification system and related styles, such as color mappings and\ndescriptive labels.","License":"MIT + file LICENSE","URL":"https://josesamos.github.io/clc/, https://github.com/josesamos/clc","BugReports":"https://github.com/josesamos/clc/issues","Depends":"R (>= 3.5)","Imports":"gdalUtilities, ggplot2, rlang, RPostgres, sf, stats, terra,\nxml2","Suggests":"knitr, mockery, purrr, rmarkdown, testthat (>= 3.0.0)","VignetteBuilder":"knitr","Config/testthat/edition":"3","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"7.3.2","NeedsCompilation":"no","Packaged":"2024-12-09 05:41:34 UTC; jsamos","Author":"Jose Samos [aut, cre] (),\nUniversidad de Granada [cph]","Maintainer":"Jose Samos ","Repository":"CRAN","Date/Publication":"2024-12-10 21:10:06 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/clc_1.0.0.tar.gz","jsonAuthors":[{"name":"Jose Samos","email":"jsamos@ugr.es","maintainer":true},{"name":"Universidad de Granada ","email":null,"maintainer":false}],"readme":"\n\n\n# clc $\"CORINE$ \n\n\n\n\n[![R-CMD-check](https://github.com/josesamos/clc/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/josesamos/clc/actions/workflows/R-CMD-check.yaml)\n[![Codecov test\ncoverage](https://codecov.io/gh/josesamos/clc/graph/badge.svg)](https://app.codecov.io/gh/josesamos/clc)\n\n\n*CORINE Land Cover* (*CLC*) is a European land use and land cover\nclassification system that provides standardized geospatial data on land\ncover categories. It includes an associated style definition, typically\nstored in formats like GeoPackage, which links land cover codes to\ndescriptive labels and visualization attributes (e.g., colors) for\nconsistent representation across GIS platforms.\n\nThe `clc` package simplifies workflows for common tasks, such as reading\na CLC vector file, visualizing it with its style, clipping the data to a\nregion, saving the output with its style, and converting it to raster\nformat, supporting CLC data in both GeoPackage and PostGIS as sources\nand destinations.\n\n## Installation\n\nYou can install the released version of `clc` from\n[CRAN](https://CRAN.R-project.org) with:\n\n``` r\ninstall.packages(\"clc\")\n```\n\nAnd the development version from [GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"pak\")\npak::pak(\"josesamos/clc\")\n```\n\n## Example\n\nThis is a basic example which shows you how to solve a common problem.\n\nRead the CLC data from the GeoPackage and visualize the CLC data with\nstyles.\n\n``` r\nlibrary(clc)\n\nsource_gpkg <- system.file(\"extdata\", \"clc.gpkg\", package = \"clc\")\n\nclc_data <- clc(source = source_gpkg, layer_name = \"clc\")\n\nclc_data |> \n plot_clc()\n```\n\n $\"CLC$ \n\nRead the clipping layer (region of interest), clip the CLC data to the\nregion of interest and visualize the clipped CLC data with styles.\n\n``` r\nregion <- sf::st_read(source_gpkg, layer = \"lanjaron\", quiet = TRUE)\n\nclc_clipped <- clc_data |> \n cut_to_extent(region)\n\nclc_clipped |> \n plot_clc()\n```\n\n $\"CLC$ \n\nConvert the clipped CLC data to raster format and visualize it with\nstyles.\n\n``` r\nraster_path <- system.file(\"extdata\", \"mdt.tif\", package = \"clc\")\n\nbase_raster <- terra::rast(raster_path)\n\nclc_raster <- clc_clipped |> \n as_raster(base_raster = base_raster)\n\nclc_raster |> \n plot_clc()\n```\n\n $\"CLC$ \n\nSave the clipped data and its styles to a new GeoPackage.\n\n``` r\noutput_gpkg <- tempfile(fileext = \".gpkg\")\n\nsink(tempfile())\n\nclc_clipped |> \n save_to(output_gpkg)\n\nsink()\n```\n\nGet a raster in `terra::SpatRaster` format to store it in a file, for\nexample.\n\n``` r\nclc_r <- clc_raster |>\n get_raster()\n\noutput_tif <- tempfile(fileext = \".tif\")\n\nterra::writeRaster(clc_r,\n output_tif,\n filetype = \"GTiff\",\n overwrite = TRUE)\n```","jobInfo":{"package":"clc","version":"1.0.0","parsingStatus":"success","parserVersion":2,"parsedAt":"2024-12-10T22:29:59+0000"}}

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