Geographical flow (hereafter flow) can be modeled as an orderly connected point pair
composed of an origin (O) and a destination (D). Aggregation is the most common form of …

Spatial rough set theory is an extension of classical rough set theory that is designed to
handle spatial data. Different from its classical analog, spatial rough set theory approximates …

Identifying land use mix (LUM) in urban areas is challenging, often requiring extensive
human intervention and fieldwork. Accurate classification of LUM is crucial for various …

Flow clustering is one of the most important data mining methods for the analysis of origin-
destination (OD) flow data, and it may reveal the underlying mechanisms responsible for the …

We review interval-valued fuzzy sets (IVFS) and develop their application for several areas.
We show how to aggregate IVFSs and provide information measures to guide the …

Despite its potential to unravel past behaviors, statistical testing of spatial patterns within
early hominin-bearing fossil assemblages has generally been overlooked. For instance …

Urban crimes are not homogeneously distributed but exhibit spatial heterogeneity across a
range of spatial scales. Meanwhile, while geographic space shapes human activities, it is …

This paper presents the progress made so far in the development of the R package hspm.
The package hspm aims at implementing a variety of models and methods to control for …

Trace fossils record foraging behaviors, the search for resources in patchy environments, of
animals in the rock record. Quantification of the strength, density, and nature of foraging …

The appearance of the oldest known animals during the late Ediacaran (~ 574 million years
ago [Ma]) was followed by a phase of little change. This period, which lasted~ 14 million …