hclustgeo_disc for hierarchical clustering with spatial soft constraints (#13).geodetector_q for the fast estimation of the geodetector q-value.check_tbl_na and tbl_all2int functions to better support the gdverse and sesp packages.Fix the bug that causes R to crash when the input x is a factor or character in the discretize_vector function (#12).
Implement the formula_varname function to return the corresponding variable names from both formula and data.
Improve the handling of n-level categorical variables by generating n-1 dummy variables (#2).
Add the spdep_lmtest function for spatial linear model selection (#3).
Migrate the moran_test function from the geocomplexity package to sdsfun (#4).
Implement the geographical detector's factor detector in ssh_test using Rcpp to enhance performance (#5).
Introduce the discretize_vector function to support variable discretization (#6).
Apply the loess_optnum function to select the optimal number of discretization intervals (#10).
Implement spatial variance calculation in the spvar function, with support for both R and C++ implementations (#11).
Rename dummy_vector to dummy_vec for consistency in naming conventions.
Add the sf_coordinates function to extract coordinates from sf objects.
Begin to use Rcpp to complete some tasks with high computational complexity.
Add dummy_vector and dummy_tbl functions for dummy variables generation.
Add spdep_nb function for neighbours list generation.
Add spdep_skater function for spatial constrained clustering.
Add fuzzyoverlay function for spatial fuzzy overlay.
Update package extdata; now sdsfun has two extdata: gzma.gpkg and pts.gpkg.
Enhance support for other types of spatial vector data.
Inhibit the warning information produced by spdep.
Add sf_utm_proj_wgs84() function.
sf_distance_matrix() function.Update the function documentation for spdep_contiguity_swm() and spdep_distance_swm().
Move the source code from SpatLyu/sdsfun on GitHub to stscl/sdsfun.