Geospatial Distribution Dynamics for Simple Features // Tools for exploratory geospatial distribution dynamics with 'sf' objects and tidy data. Provides pooled and time-specific classification of longitudinal spatial values, classic discrete Markov transition matrices, spatial Markov matrices conditioned on spatial-lag classes, endpoint and adjacent rank mobility summaries, and 'ggplot2' visualizations. Methods follow Rey (2001) doi:10.1111/j.1538-4632.2001.tb00444.x and Rey et al. (2016) doi:10.1007/s10109-016-0234-x; design is inspired by the Python 'PySAL' 'giddy' package https://pysal.org/giddy/.