{ "_id": "6a168d35acfb0bcc41d7763c", "Package": "SpatialDownscaling", "Type": "Package", "Title": "Methods for Spatial Downscaling Using Deep Learning", "Version": "0.1.2", "Date": "2026-01-21", "Authors@R": "c(person(given = \"Mika\", family = \"Sipilä\", role = c(\"aut\", \"cre\", \"cph\"), email = \"mika.e.sipila@jyu.fi\", comment=c(ORCID = \"0000-0002-5912-840X\")),\nperson(given = \"Claudia\", family = \"Cappello\", role = c(\"aut\"), email = \"claudia.cappello@unisalento.it\", comment=c(ORCID = \"0000-0002-7905-5068\")),\nperson(given = \"Sandra\", family = \"De Iaco\", role = c(\"aut\"), email = \"sandra.deiaco@unisalento.it\", comment=c(ORCID = \"0000-0003-1820-2068\")),\nperson(given = \"Klaus\", family = \"Nordhausen\", role = c(\"aut\"), email = \"klaus.nordhausen@helsinki.fi\", comment=c(ORCID = \"0000-0002-3758-8501\")),\nperson(given = \"Sara\", family = \"Taskinen\", role = c(\"aut\"), email = \"sara.l.taskinen@jyu.fi\", comment=c(ORCID = \"0000-0001-9470-7258\")))", "Description": "The aim of the spatial downscaling is to increase the\nspatial resolution of the gridded geospatial input data. This\npackage contains two deep learning based spatial downscaling\nmethods, super-resolution deep residual network (SRDRN) (Wang\net al., 2021 ) and UNet (Ronneberger\net al., 2015 ), along with a\nstatistical baseline method bias correction and spatial\ndisaggregation (Wood et al., 2004\n). The SRDRN and UNet\nmethods are implemented to optionally account for cyclical\ntemporal patterns in case of spatio-temporal data. For more\ndetails of the methods, see Sipilä et al. (2025)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RdMacros": "Rdpack", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "SystemRequirements": "Python (>= 3.8), TensorFlow, Keras", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libpng-dev\nlibproj-dev python3 libsqlite3-dev", "Repository": "https://mikasip.r-universe.dev", "Date/Publication": "2026-01-21 12:17:41 UTC", "RemoteUrl": "https://github.com/mikasip/spatialdownscaling", "RemoteRef": "HEAD", "RemoteSha": "6a764c1da6a64fbbba030223c67da04f59e364e5", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 06:17:06 UTC", "User": "root" }, "Author": "Mika Sipilä [aut, cre, cph] (ORCID:\n),\nClaudia Cappello [aut] (ORCID: ),\nSandra De Iaco [aut] (ORCID: ),\nKlaus Nordhausen [aut] (ORCID: ),\nSara Taskinen [aut] (ORCID: )", "Maintainer": "Mika Sipilä ", "MD5sum": "c3eb37fc98b196b1d10b514062e274be", "_user": "mikasip", "_type": "src", "_file": "SpatialDownscaling_0.1.2.tar.gz", 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