Package: sdsfun 0.6.0

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_0.6.0.tar.gz
sdsfun_0.6.0.zip(r-4.5)sdsfun_0.6.0.zip(r-4.4)sdsfun_0.6.0.zip(r-4.3)
sdsfun_0.6.0.tgz(r-4.4-x86_64)sdsfun_0.6.0.tgz(r-4.4-arm64)sdsfun_0.6.0.tgz(r-4.3-x86_64)sdsfun_0.6.0.tgz(r-4.3-arm64)
sdsfun_0.6.0.tar.gz(r-4.5-noble)sdsfun_0.6.0.tar.gz(r-4.4-noble)
sdsfun_0.6.0.tgz(r-4.4-emscripten)sdsfun_0.6.0.tgz(r-4.3-emscripten)
sdsfun.pdf |sdsfun.html✨
sdsfun/json (API)
NEWS

# Install 'sdsfun' in R:

install.packages('sdsfun', repos = c('https://stscl.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown:https://stscl.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

spatial-data-analysis spatial-data-science openblas cpp openmp

6.16 score 12 stars 5 packages 6 scripts 662 downloads 32 exports 39 dependencies

Last updated 1 hours agofrom:6642568deb. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 06 2024
R-4.5-win-x86_64	OK	Dec 06 2024
R-4.5-linux-x86_64	OK	Dec 06 2024
R-4.4-win-x86_64	OK	Dec 06 2024
R-4.4-mac-x86_64	OK	Dec 06 2024
R-4.4-mac-aarch64	OK	Dec 06 2024
R-4.3-win-x86_64	OK	Dec 06 2024
R-4.3-mac-x86_64	OK	Dec 06 2024
R-4.3-mac-aarch64	OK	Dec 06 2024

Exports:%>%check_tbl_na discretize_vector dummy_tbl dummy_vec formula_varname fuzzyoverlay generate_subsets geodetector_q hclustgeo_disc inverse_distance_swm loess_optnum moran_test normalize_vector sf_coordinates sf_distance_matrix sf_geometry_name sf_geometry_type sf_gk_proj_cgcs2000 sf_utm_proj_wgs84 sf_voronoi_diagram spade_psd spdep_contiguity_swm spdep_distance_swm spdep_lmtest spdep_nb spdep_skater spvar ssh_test standardize_vector tbl_all2int tbl_xyz2mat

Dependencies:boot class classInt cli DBI deldir digest dplyr e1071 fansi generics geosphere glue KernSmooth lattice lifecycle magrittr MASS pander pillar pkgconfig proxy purrr R6 Rcpp RcppArmadillo rlang s2 sf sp spData spdep tibble tidyselect units utf8 vctrs withr wk

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
check for NA values in a tibble	check_tbl_na
discretization	discretize_vector
transforming a category tibble into the corresponding dummy variable tibble	dummy_tbl
transforming a categorical variable into dummy variables	dummy_vec
get variable names in a formula and data	formula_varname
spatial fuzzy overlay	fuzzyoverlay
generate subsets of a set	generate_subsets
only geodetector q-value	geodetector_q
hierarchical clustering with spatial soft constraints	hclustgeo_disc
construct inverse distance weight	inverse_distance_swm
determine optimal spatial data discretization for individual variables	loess_optnum
test global spatial autocorrelation	moran_test
normalization	normalize_vector
extract locations	sf_coordinates
generates distance matrix	sf_distance_matrix
sf object geometry column name	sf_geometry_name
sf object geometry type	sf_geometry_type
generates cgcs2000 Gauss-Kruger projection epsg coding character	sf_gk_proj_cgcs2000
generates wgs84 utm projection epsg coding character	sf_utm_proj_wgs84
generates voronoi diagram	sf_voronoi_diagram
only spade power of spatial determinant	spade_psd
constructs spatial weight matrices based on contiguity	spdep_contiguity_swm
constructs spatial weight matrices based on distance	spdep_distance_swm
spatial linear models selection	spdep_lmtest
construct neighbours list	spdep_nb
spatial c(k)luster analysis by tree edge removal	spdep_skater
spatial variance	spvar
test explanatory power of spatial stratified heterogeneity	ssh_test
standardization	standardize_vector
convert discrete variables in a tibble to integers	tbl_all2int
convert xyz tbl to matrix	tbl_xyz2mat