{ "_id": "6a22807ecd65a98ecbd51679", "Package": "greenSD", "Type": "Package", "Title": "Access and Analyze Global GreenSpace Spatial Data", "Version": "0.1.2", "Authors@R": "c(\nperson(\ngiven = \"Xiaohao\",\nfamily = \"Yang\",\nemail = \"xiaohaoy111@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\")\n))", "Description": "Access and analyze multi-band greenspace seasonality data\ncubes (available for 1,028 major global cities), global\nNormalized Difference Vegetation Index / land cover data from\nthe European Space Agency WorldCover 10m Dataset, and\nSentinel-2-l2a images. Users can download data using bounding\nboxes, city names, and filter by year or seasonal time window.\nThe package also supports calculating human exposure to\ngreenspace using a population-weighted greenspace exposure\nmodel introduced by Chen et al. (2022)\n based on Global Human\nSettlement Layer population data, and calculating a set of\ngreenspace morphology metrics at patch and landscape levels.", "URL": "https://github.com/billbillbilly/greenSD,\nhttps://billbillbilly.github.io/greenSD/", "BugReports": "https://github.com/billbillbilly/greenSD/issues", "License": "GPL-3", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "libabsl-dev cmake libfftw3-dev libfreetype6-dev\nlibgdal-dev gdal-bin libgeos-dev libglpk-dev libglu1-mesa-dev\nmake libmagick++-dev gsfonts texlive libicu-dev libjpeg-dev\nlibpng-dev libtiff-dev libuv1-dev libxml2-dev libgl1-mesa-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev\nlibx11-dev zlib1g-dev", "Repository": "https://billbillbilly.r-universe.dev", "Date/Publication": "2025-11-07 08:51:39 UTC", "RemoteUrl": "https://github.com/billbillbilly/greensd", "RemoteRef": "HEAD", "RemoteSha": 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