{ "_id": "6a1f2210b401979e734207b8", "Package": "SpatFD", "Type": "Package", "Title": "Functional Geostatistics: Univariate and Multivariate Functional\nSpatial Prediction", "Version": "0.0.1", "Date": "2024-06-18", "Authors@R": "c(person(given = c(\"Martha\",\"Patricia\"),\nfamily = \"Bohorquez Castañeda\",\nrole = c(\"aut\",\"cre\"),\nemail = \"mpbohorquezc@unal.edu.co\"),\nperson(given = c(\"Diego\",\"Alejandro\"),\nfamily = \"Sandoval Skinner\",\nrole = c(\"aut\"),\nemail = \"diasandovalsk@unal.edu.co\"),\nperson(given = \"Angie\",\nfamily = \"Villamil\",\nrole = c(\"aut\"),\nemail = \"acvillamils@unal.edu.co\"),\nperson(given = c(\"Samuel\",\"Hernando\"),\nfamily = \"Sanchez Gutierrez\",\nrole = c(\"aut\"),\nemail = \"ssanchezgu@unal.edu.co\"),\nperson(given = \"Nathaly\",\nfamily = \"Vergel Serrano\",\nrole = c(\"ctb\"),\nemail = \"nvergel@unal.edu.co\"),\nperson(given = c(\"Miguel\",\"Angel\"),\nfamily = \"Munoz Layton\",\nrole = c(\"ctb\"),\nemail = \"mmunozl@unal.edu.co\"),\nperson(given = \"Valeria\",\nfamily = \"Bejarano Salcedo\",\nrole = c(\"ctb\"),\nemail = \"vbejaranos@unal.edu.co\"),\nperson(given = c(\"Venus\",\"Celeste\"),\nfamily = \"Puertas\",\nrole = c(\"ctb\"),\nemail = \"vpuertasg@unal.edu.co\"),\nperson(given = c(\"Ruben\",\"Dario\"),\nfamily = \"Guevara Gonzalez\",\nrole = c(\"aut\"),\nemail = \"rdguevarag@unal.edu.co\"),\nperson(given = c(\"Joan\",\"Nicolas\"),\nfamily = \"Castro Cortes\",\nrole = c(\"ctb\"),\nemail = \"jocastroc@unal.edu.co\"),\nperson(given = \"Ramon\",\nfamily = \"Giraldo Henao\",\nrole = c(\"aut\"),\nemail = \"rgiraldoh@unal.edu.co\"),\nperson(given = \"Jorge\",\nfamily = \"Mateu\",\nrole = c(\"aut\"),\nemail = \"mateu@mat.uji.es\")\n)", "Description": "Performance of functional kriging, cokriging, optimal\nsampling and simulation for spatial prediction of functional\ndata. The framework of spatial prediction, optimal sampling and\nsimulation are extended from scalar to functional data.\n'SpatFD' is based on the Karhunen-Loève expansion that allows\nto represent the observed functions in terms of its empirical\nfunctional principal components. Based on this approach, the\nfunctional auto-covariances and cross-covariances required for\nspatial functional predictions and optimal sampling, are\ncompletely determined by the sum of the spatial\nauto-covariances and cross-covariances of the respective score\ncomponents. The package provides new classes of data and\nfunctions for modeling spatial dependence structure among\ncurves. The spatial prediction of curves at unsampled locations\ncan be carried out using two types of predictors, and both of\nthem report, the respective variances of the prediction error.\nIn addition, there is a function for the determination of\nspatial locations sampling configuration that ensures minimum\nvariance of spatial functional prediction. There are also two\nfunctions for plotting predicted curves at each location and\nmapping the surface at each time point, respectively.\nReferences Bohorquez, M., Giraldo, R., and Mateu, J. (2016)\n, Bohorquez, M., Giraldo, R.,\nand Mateu, J. (2016) , Bohorquez\nM., Giraldo R. and Mateu J. (2021) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 07:24:14 UTC", "User": "root" }, "Author": "Martha Patricia Bohorquez Castañeda [aut, cre], Diego Alejandro\nSandoval Skinner [aut], Angie Villamil [aut], Samuel Hernando\nSanchez Gutierrez [aut], Nathaly Vergel Serrano [ctb], Miguel\nAngel Munoz Layton [ctb], Valeria Bejarano Salcedo [ctb], Venus\nCeleste Puertas [ctb], Ruben Dario Guevara Gonzalez [aut], Joan\nNicolas Castro Cortes [ctb], Ramon Giraldo Henao [aut], Jorge\nMateu [aut]", "Maintainer": "Martha Patricia Bohorquez Castañeda\n", "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nmake libicu-dev libuv1-dev libssl-dev libproj-dev\nlibsqlite3-dev libudunits2-dev", "Repository": "https://mpbohorquezc.r-universe.dev", "Date/Publication": "2024-06-22 02:39:46 UTC", "RemoteUrl": "https://github.com/cran/SpatFD", "RemoteRef": "HEAD", "RemoteSha": 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