Good surface water quality is critical to human health and ecology. Land use determines the
surface water heat and material balance, which cause climate change and affect water …

Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of
social and environmental data. It allows spatial heterogeneities in processes and …

Scale is a fundamental geographic concept, and a substantial literature exists discussing the
various roles that scale plays in different geographical contexts. Relatively little work exists …

As a result of rapid industrialization and urbanization, China is now facing a host of
environmental problems that have serious health implications. Studies of air pollution's …

Habitat is one of the important research contents of regional ecological security. Based on
land use data, this paper analyzes the spatio-temporal characteristics of Changchun's …

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 …

By incorporating temporal effects into the geographically weighted regression (GWR) model,
an extended GWR model, geographically and temporally weighted regression (GTWR), has …

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 …

China's rapid urbanization has driven economic development and social progress. As the
populations of cities and towns have increased during urbanization, demand for public …

This book provides a comprehensive discussion on urban growth and sprawl, and how they
can be analyzed using remote sensing imageries. It compiles views of numerous …