In this article we examine recent advances in accessibility research and their implications for
future studies. We base our discussion on three intersecting dimensions that are useful for …

Recent advancements in spatial transcriptomic technologies have enabled the
measurement of whole transcriptome profiles with preserved spatial context. However …

Spatial data contain locational information as well as attribute information. It is increasingly
recognized that most data sets are spatial in that the attribute being measured is typically …

Present methodological research on geographically weighted regression (GWR) focuses
primarily on extensions of the basic GWR model, while ignoring well-established diagnostics …

Every year, gully erosion causes substantial damage to agricultural land, residential areas
and infrastructure, such as roads. Gully erosion assessment and mapping can facilitate …

This paper describes geographically weighted Poisson regression (GWPR) and its semi‐
parametric variant as a new statistical tool for analysing disease maps arising from spatially …

With new chapters addressing spatial patterning in single variables and spatial relations,
this second edition provides guidance to a wide variety of real-world problems. Focusing on …

This study investigates the spatiotemporal impacts of digital economic development on
interprovincial carbon emissions transfer in China. Applying a proposed mixed …

Due to the limitation of data collection techniques and privacy issues, the problem of missing
spatial origin-destination flows frequently occurs. Data imputation provides great support for …

A common technique used for the calibration of collision prediction models is the
Generalized Linear Modeling (GLM) procedure with the assumption of Negative Binomial or …