In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

The count of open source software packages hosted by the Comprehensive R Archive
Network (CRAN) using key spatial data handling packages has now passed 1,000 …

Thematic maps show spatial distributions. The theme refers to the phenomena that is shown,
which is often demographical, social, cultural, or economic. The best known thematic map …

Far more species of organisms are found in the tropics than in temperate and polar regions,
but the evolutionary and ecological causes of this pattern remain controversial 1, 2. Tropical …

Multiple sclerosis (MS) is characterized by an immune system attack targeting myelin, which
is produced by oligodendrocytes (OLs). We performed single-cell transcriptomic analysis of …

Identifying adaptive loci can provide insight into the mechanisms underlying local
adaptation. Genotype–environment association (GEA) methods, which identify these loci …

Recent advances in the implementation of spatial econometrics model estimation
techniques have made it desirable to compare results, which should correspond between …

Coming up with Bayesian models for spatial data is easy, but performing inference with them
can be challenging. Writing fast inference code for a complex spatial model with realistically …

Urban–rural differences in partisan political loyalty are as familiar in the United States as
they are in other countries. In this paper, we examine Gallup survey data from the early …

States use repression to enforce obedience, but repression—especially if it is violent,
massive, and indiscriminate—often incites opposition. Why does repression have such …