Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …

In recent years, geospatial big data (GBD) has obtained attention across various disciplines,
categorized into big Earth observation data and big human behavior data. Identifying …

Geostatistical data—spatially referenced observations related to some continuous spatial
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …

Large rivers constitute small portions of drainage networks but provide important migratory
habitats and fisheries for salmon and trout when and where temperatures are sufficiently …

Eigenvector‐map** methods such as Moran's eigenvector maps (MEM) are derived from
a spatial weighting matrix (SWM) that describes the relations among a set of sampled sites …

Simple Summary Aiming to cope with the provisions of Aichi Biodiversity Targets, EU
Biodiversity Strategy and EU Green Deal, we conducted the first nationwide …

Abstract Large wildfires (> 50,000 ha) are becoming increasingly common in semiarid
landscapes of the western United States. Although fuel reduction treatments are used to …

Many methods can be used to construct geographical cellular automata (CA) models of
urban land use, but most do not adequately capture spatial heterogeneity in urban …

This paper provides an overview and introduction to the development of non-ergodic ground-
motion models, GMMs. It is intended for a reader who is familiar with the standard approach …

Background Adverse effects of wildfires can be mitigated within fuel treatments, but empirical
evidence of their effectiveness across large areas is needed to guide design and …