H Bai, D Li, Y Ge, J Wang, F Cao - Information Sciences, 2022 - Elsevier
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 …
C Song, T Pei, H Shu - IEEE Access, 2019 - ieeexplore.ieee.org
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 …
Z He, Z Wang, Y Gu, X An - ISPRS International Journal of Geo …, 2023 - mdpi.com
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 …
G Piras, M Sarrias - Journal of Spatial Econometrics, 2023 - Springer
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 …