Land surface temperature (LST) is an important parameter highly responsive to surface
energy fluxes and has become valuable to many disciplines. Prior to the advent of satellites …

Downscaling has an important role to play in remote sensing. It allows prediction at a finer
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …

Understanding dynamic human mobility changes and spatial interaction patterns at different
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …

Spatial stratified heterogeneity, referring to the within-strata variance less than the between
strata-variance, is ubiquitous in ecological phenomena, such as ecological zones and many …

Abstract Even though Gehlke and Biehl (1934) discovered certain aspects of the modifiable
areal unit problem (MAUP), the term MAUP was not coined formally until Openshaw and …

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 …

As Geographic Information Systems (GIS) have developed and their applications have been
extended, the issue of uncertainty has become increasingly recognized. It is highlighted by …

Abstract While Google Street View (GSV) has been increasingly available for large-scale
examinations of urban landscapes, little is known about how to use this promising data …

Despite an ever-increasing number of spaceborne, airborne, and ground-based data
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …

The spatial prediction of point values from areal data of the same attribute is addressed
within the general geostatistical framework of change of support; the term support refers to …