Package index • sdsfun

utility functions for sf object

sf_geometry_name(): sf object geometry column name

sf_geometry_type(): sf object geometry type

sf_voronoi_diagram(): generates voronoi diagram

sf_coordinates(): extract locations

sf_distance_matrix(): generates distance matrix

utility functions for spdep package

spdep_nb(): construct neighbours list

spdep_contiguity_swm(): constructs spatial weight matrices based on contiguity

spdep_distance_swm(): constructs spatial weight matrices based on distance

spdep_skater(): spatial c(k)luster analysis by tree edge removal

spdep_lmtest(): spatial linear models selection

utility functions for spatial data science

moran_test(): global spatial autocorrelation test

ssh_test(): spatial stratified heterogeneity test

inverse_distance_swm(): construct inverse distance weight

hclustgeo_disc(): hierarchical clustering with spatial soft constraints

geodetector_q(): only geodetector q-value

spvar(): spatial variance

spade_psd(): only spade power of spatial determinant

fuzzyoverlay(): spatial fuzzy overlay

loess_optnum(): determine optimal spatial data discretization for individual variables

sf_utm_proj_wgs84(): generates wgs84 utm projection epsg coding character

sf_gk_proj_cgcs2000(): generates cgcs2000 Gauss-Kruger projection epsg coding character

tbl_xyz2mat(): convert xyz tbl to matrix

utility functions for data science

cor_test(): (partial) correlation test

dummy_vec(): transforming a categorical variable into dummy variables

dummy_tbl(): transforming a category tibble into the corresponding dummy variable tibble

discretize_vector(): discretization

normalize_vector(): normalization

standardize_vector(): standardization

rm_lineartrend(): remove variable linear trend based on covariate

generate_subsets(): generate subsets of a set

formula_varname(): get variable names in a formula and data

check_tbl_na(): check for NA values in a tibble

tbl_all2int(): convert discrete variables in a tibble to integers