Package: sdsfun 0.8.1

Wenbo Lv

sdsfun: Spatial Data Science Complementary Features

Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.

Authors:Wenbo Lv [aut, cre, cph]

sdsfun_0.8.1.tar.gz
sdsfun_0.8.1.tar.gz(r-4.7-arm64)sdsfun_0.8.1.tar.gz(r-4.7-x86_64)sdsfun_0.8.1.tar.gz(r-4.6-arm64)sdsfun_0.8.1.tar.gz(r-4.6-x86_64)
sdsfun_0.8.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sdsfun/json (API)
NEWS

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

Bug tracker:https://github.com/stscl/sdsfun/issues

Pkgdown/docs site:https://stscl.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

3.22 score 11 packages 6 scripts 385 downloads 34 exports 38 dependencies

Last updated from:275500894c. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK202
linux-devel-x86_64OK195
source / vignettesOK234
linux-release-arm64OK205
linux-release-x86_64OK199
wasm-releaseOK186

Exports:%>%check_tbl_nacor_testdiscretize_vectordummy_tbldummy_vecformula_varnamefuzzyoverlaygenerate_subsetsgeodetector_qhclustgeo_discinverse_distance_swmloess_optnummoran_testnormalize_vectorrm_lineartrendsf_coordinatessf_distance_matrixsf_geometry_namesf_geometry_typesf_gk_proj_cgcs2000sf_utm_proj_wgs84sf_voronoi_diagramspade_psdspdep_contiguity_swmspdep_distance_swmspdep_lmtestspdep_nbspdep_skaterspvarssh_teststandardize_vectortbl_all2inttbl_xyz2mat

Dependencies:bootclassclassIntcliDBIdeldirdigestdplyre1071genericsgeosphereglueKernSmoothlatticelifecyclemagrittrMASSpanderpillarpkgconfigproxypurrrR6RcppRcppArmadillorlangs2sfspspDataspdeptibbletidyselectunitsutf8vctrswithrwk

Readme and manuals

Help Manual

Help pageTopics
check for NA values in a tibblecheck_tbl_na
(partial) correlation testcor_test
discretizationdiscretize_vector
transforming a category tibble into the corresponding dummy variable tibbledummy_tbl
transforming a categorical variable into dummy variablesdummy_vec
get variable names in a formula and dataformula_varname
spatial fuzzy overlayfuzzyoverlay
generate subsets of a setgenerate_subsets
only geodetector q-valuegeodetector_q
hierarchical clustering with spatial soft constraintshclustgeo_disc
construct inverse distance weightinverse_distance_swm
determine optimal spatial data discretization for individual variablesloess_optnum
global spatial autocorrelation testmoran_test
normalizationnormalize_vector
remove variable linear trend based on covariaterm_lineartrend
extract locationssf_coordinates
generates distance matrixsf_distance_matrix
sf object geometry column namesf_geometry_name
sf object geometry typesf_geometry_type
generates cgcs2000 Gauss-Kruger projection epsg coding charactersf_gk_proj_cgcs2000
generates wgs84 utm projection epsg coding charactersf_utm_proj_wgs84
generates voronoi diagramsf_voronoi_diagram
only spade power of spatial determinantspade_psd
constructs spatial weight matrices based on contiguityspdep_contiguity_swm
constructs spatial weight matrices based on distancespdep_distance_swm
spatial linear models selectionspdep_lmtest
construct neighbours listspdep_nb
spatial c(k)luster analysis by tree edge removalspdep_skater
spatial variancespvar
spatial stratified heterogeneity testssh_test
standardizationstandardize_vector
convert discrete variables in a tibble to integerstbl_all2int
convert xyz tbl to matrixtbl_xyz2mat