… rigorous implementation of new tools and methods for spatial analysis using R, growth and
… with a spatial perspective, and increased interdisciplinary use of spatial analysis. Other …

… originally developed for operations research and computational geometry (Preparata and
… some basic computational methods). In this sense, the network spatial analysis presented in …

… All the chapters together show how sophisticated spatial statistical and computational
methods apply to a range of problems of increasing importance for applications in science and …

… how computational methods span across GIScience: Spatial … in computational methods.
This article assesses the progress and status of research in the area of computational methods …

… spatial analysis and stimulate methodologically and technically sound, rather than ad hoc,
neural network applications in spatial analysis… summary of the computational appeal of neural …

… the development of a spatial data infrastructure in North America and Europe. This volume
illustrates some recent developments in the field of spatial analysis and aims to disseminate …

… methods for spatial data analysis with mapped point patterns in Chapter 3. Since a good
understanding of spatial autocorrelation is necessary for spatial analysis, … , and computational …

… The first example concerns GIS-based spatial analysis; the second describes computational
issues surrounding the modifiable areal unit problem; the third discusses computational …

… Thiago Fernando LVB Rangel is interested in statistical and computational methods applied
to macroecology and evolutionary biology. Current projects involve the development and …

… neural networks (CNNs) with the aim of helping spatial … popularise computational neural
networks in spatial analysis… to certain computational neural networking in spatial analysis that …