This paper introduces a probabilistic method for modeling (geo-)spatial tesselations. We propose a new architecture of conditional random fields in two dimensions to estiamte the determinants of spatial groupings.
Very large spatio-temporal lattice data are becoming increasingly common across a variety of disciplines. However, estimating interdependence across space, time, and outcomes in large lattice data sets remains challenging, as existing approaches are …
Political scientists frequently study spatially interdependent processes, such as policy diffusion, democratization, or the spread of violent conflict. Existing studies of such mechanisms typically rely on the spatio-temporal autoregressive (STAR) …
velox is an R package for performing fast extraction and manipulation operations on geospatial raster data.
BoostLines is an R package providing highly scalable geometric line operations for planar networks.
Research on ethnic politics and political violence has benefited substantially from the growing availability of cross-national, geo-coded data on ethnic settlement patterns. However, because existing datasets represent ethnic homelands using …
MapColoring is an R package implementing graph-theoretic optimal contrast coloring of polygon maps.
Convenient access to PRIO GRID raster data from R.