Spatial Data Science Complementary Features
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Documentation for package ‘sdsfun’ version 0.4.3
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| check_tbl_na | check for NA values in a tibble |
| 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 |
| generate_subsets | generate subsets of a set |
| geodetector_q | only geodetector q-value |
| 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 |
| tbl_all2int | convert discrete variables in a tibble to integers |