With their increasing availability and quantity, remote sensing images have become an invaluable data source for geographic research and beyond. The detection and analysis of spatial patterns from such images and other kinds of geographic fields, constitute a core aspect of Geographic Information Science. Per-cell analysis, where one cell’s characteristics are considered (geo-atom), and interac...

Self-arrangement of individuals into spatial patterns often accompanies and promotes species diversity in ecological systems. Here, we investigate pattern formation arising from cyclic dominance of three species, operating near a bifurcation point. In its vicinity, an Eckhaus instability occurs, leading to convectively unstable "blurred" patterns. At the bifurcation point, stochastic effects do...

The analysis of spatial point patterns is a critical component of the geographic information analysis literature. Most of the tests for these data are concerned with random, uniform, and clustered patterns. However, knowing whether a spatial point pattern is similar to these theoretical data-generating processes is not always instructive: most human activity is clustered, so finding that some c...

Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points which can be mined and analyzed to extract meaningful patterns. In this article, we focus on different techniques used to summarize and visualize 2D point clusters and discuss their relative strengths. This article focuses on patterns which describe the dispersion of data around a central tendenc...

poverty can have spatial dimensions. while general figures might show the spatial pattern of poverty, there is a need for more detailed examination of this pattern. relying on simple figures of spatial patterns and ranking regions based on them might be misleading. this paper tries to apply spatial analysis methodsm, namely spatial autoregressive models to find out the impacts of space on the h...

We investigate testing of the hypothesis independence between a covariate and marks in marked point process. It would be rather straightforward if (unmarked) process were independent marks. In practice, however, such an assumption is questionable possible dependence or may lead to incorrect conclusions. Therefore, we propose complete structure triangle points–marks–covariates together. take adv...