The spread of the COVID-19 pandemic was spatially heterogeneous around the world; the
transmission of the disease is driven by complex spatial and temporal variations in …

Background Tuberculosis (TB) transmission often occurs within a household or community,
leading to heterogeneous spatial patterns. However, apparent spatial clustering of TB could …

The modifiable areal unit problem (MAUP) is a serious analytical issue for research using
spatial data. The MAUP manifests itself through the apparent instability of statistical results …

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and
Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data …

Understanding scale effects is important and indispensable for geography studies. However,
spatial and spatiotemporal statistical tools for measuring the operational scales of different …

There has been considerable discussion in health geography and related areas of
neighbourhood effects on health: the idea that people's health in one geographical area …

The uncertain geographic context problem (UGCoP), first articulated by Kwan (; The
uncertain geographic context problem. Annals of the Association of American Geographers …

Background Spatial analytical techniques and models are often used in epidemiology to
identify spatial anomalies (hotspots) in disease regions. These analytical approaches can …

Over the last twenty-five years a vast body of literature has been published on
neighbourhood effects: the idea that living in more disadvantaged neighbourhoods has a …

Psychologists have become increasingly interested in the geographical organization of
psychological phenomena. Such studies typically seek to identify geographical variation in …