Man pages for sdsfun
Spatial Data Science Complementary Features

check_tbl_nacheck for NA values in a tibble
discretize_vectordiscretization
dummy_tbltransforming a category tibble into the corresponding dummy...
dummy_vectransforming a categorical variable into dummy variables
formula_varnameget variable names in a formula and data
fuzzyoverlayspatial fuzzy overlay
generate_subsetsgenerate subsets of a set
geodetector_qonly geodetector q-value
hclustgeo_dischierarchical clustering with spatial soft constraints
inverse_distance_swmconstruct inverse distance weight
loess_optnumdetermine optimal spatial data discretization for individual...
moran_testtest global spatial autocorrelation
normalize_vectornormalization
pipePipe operator
rm_lineartrendremove variable linear trend based on covariate
sf_coordinatesextract locations
sf_distance_matrixgenerates distance matrix
sf_geometry_namesf object geometry column name
sf_geometry_typesf object geometry type
sf_gk_proj_cgcs2000generates cgcs2000 Gauss-Kruger projection epsg coding...
sf_utm_proj_wgs84generates wgs84 utm projection epsg coding character
sf_voronoi_diagramgenerates voronoi diagram
spade_psdonly spade power of spatial determinant
spdep_contiguity_swmconstructs spatial weight matrices based on contiguity
spdep_distance_swmconstructs spatial weight matrices based on distance
spdep_lmtestspatial linear models selection
spdep_nbconstruct neighbours list
spdep_skaterspatial c(k)luster analysis by tree edge removal
spvarspatial variance
ssh_testtest explanatory power of spatial stratified heterogeneity
standardize_vectorstandardization
tbl_all2intconvert discrete variables in a tibble to integers
tbl_xyz2matconvert xyz tbl to matrix
sdsfun documentation built on April 3, 2025, 8:39 p.m.