# Spatial Data Science Complementary Features

## Documentation for package ‘sdsfun’ version 0.4.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

discretize_vector | discretization
dummy_tbl | transforming a category tibble into the corresponding dummy variable tibble
dummy_vec | transforming a categorical variable into dummy variables
formula_varname | get variable names in a formula and data
fuzzyoverlay | spatial fuzzy overlay
inverse_distance_swm | construct inverse distance weight
loess_optnum | determine optimal spatial data discretization for individual variables
moran_test | test global spatial autocorrelation
normalize_vector | normalization
sf_coordinates | extract locations
sf_distance_matrix | generates distance matrix
sf_geometry_name | sf object geometry column name
sf_geometry_type | sf object geometry type
sf_utm_proj_wgs84 | generates wgs84 utm projection epsg coding character
sf_voronoi_diagram | generates voronoi diagram
spdep_contiguity_swm | constructs spatial weight matrices based on contiguity
spdep_distance_swm | constructs spatial weight matrices based on distance
spdep_lmtest | spatial linear models selection
spdep_nb | construct neighbours list
spdep_skater | spatial c(k)luster analysis by tree edge removal
spvar | spatial variance
ssh_test | test explanatory power of spatial stratified heterogeneity
standardize_vector | standardization