Package: GeoWeightedModel 1.0.3

GeoWeightedModel: User-Friendly Interface for Geographically-Weighted Models

Contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Techniques from a subset of spatial statistics known as geographically weighted (GW) models. Contains methods described by Brunsdon et al., 1996 <doi:10.1111/j.1538-4632.1996.tb00936.x>, Brunsdon et al., 2002 <doi:10.1016/s0198-9715(01)00009-6>, Harris et al., 2011 <doi:10.1080/13658816.2011.554838>, Brunsdon et al., 2007 <doi:10.1111/j.1538-4632.2007.00709.x>.

Authors:Javier De La Hoz Maestre [cre, aut], María José Fernández Gómez [aut], Susana Mendez [aut]

GeoWeightedModel_1.0.3.tar.gz
GeoWeightedModel_1.0.3.zip(r-4.5)GeoWeightedModel_1.0.3.zip(r-4.4)GeoWeightedModel_1.0.3.zip(r-4.3)
GeoWeightedModel_1.0.3.tgz(r-4.4-any)GeoWeightedModel_1.0.3.tgz(r-4.3-any)
GeoWeightedModel_1.0.3.tar.gz(r-4.5-noble)GeoWeightedModel_1.0.3.tar.gz(r-4.4-noble)
GeoWeightedModel_1.0.3.tgz(r-4.4-emscripten)GeoWeightedModel_1.0.3.tgz(r-4.3-emscripten)
GeoWeightedModel.pdf |GeoWeightedModel.html
GeoWeightedModel/json (API)

# Install 'GeoWeightedModel' in R:
install.packages('GeoWeightedModel', repos = c('https://javierdelahoz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/javierdelahoz/geoweightedmodel/issues

On CRAN:

1 exports 1 stars 0.23 score 111 dependencies 302 downloads

Last updated 7 months agofrom:34b7e539cb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:runGeoWeightedModel

Dependencies:anytimeaudiobase64encbeeprBHbootbslibcachemcartographycellrangerclassclassIntclicodacodetoolscommonmarkcpp11crayoncrosstalkcurlDBIdeldirDEoptimRdigestdplyrDTe1071evaluatefansifastmapFNNfontawesomefsgenericsglueGWmodelhighrhmshtmltoolshtmlwidgetshttpuvintervalsjquerylibjsonliteKernSmoothknitrlaterlatticelazyevalLearnBayeslifecyclemagrittrMASSMatrixmemoisemimemultcompmvtnormnlmepillarpkgconfigpngprettyunitsprogresspromisesproxyR6rappdirsrasterRcppRcppArmadilloRcppEigenreadxlrematchrlangrmarkdownrobustbases2sandwichsasssfshinyshinyalertshinyBSshinybusyshinydashboardshinyjsshinyWidgetssourcetoolsspspacetimespatialregspDataspdepsurvivalterraTH.datatibbletidyselecttinytexunitsutf8uuidvctrswithrwkxfunxtablextsyamlzoo