Replicability takes on special meaning when researching phenomena that are embedded in
space and time, including phenomena distributed on the surface and near surface of the …

We described the key features of the pragmatic geostatistical methodology aiming at
resolving the following drawbacks of classical geostatistical models: assuming that the data …

Spatial statistics is a growing discipline providing important analytical techniques in a wide
range of disciplines in the natural and social sciences. In the R package GWmodel we …

Geographically weighted regression (GWR) extends the familiar regression framework by
estimating a set of parameters for any number of locations within a study area, rather than …

Geographically weighted regression (GWR) was proposed in the geography literature to
allow relationships in a regression model to vary over space. In contrast to traditional linear …

Focusing on solutions, this second edition provides guidance for readers who face a variety
of real-world problems. The text presents a complete introduction to key concepts and a …

While recent developments have extended geographically weighted regression (GWR) in
many directions, it is usually assumed that the relationships between the dependent and the …

While local-area greenspace is associated with reduced symptoms of mental distress and
greater life satisfaction, most previous research has measured the amount of local-area …

Often as an epidemic spreads, the leading front is irregular, reflecting spatial variation in
local transmission rates. We developed a methodology for quantifying spatial variation in …

The only way for dengue to spread in the human population is through the human-mosquito-
human cycle. Most research in this field discusses the dengue-mosquito or dengue-human …