Statistical and Computational Methods
In the real world, there are numerous and various events that occur
on and alongside networks, including the occurrence of traffic
accidents on highways, the location of stores alongside roads, the
incidence of crime on streets and the contamination along rivers.
In order to carry out analyses of those events, the researcher
needs to be familiar with a range of specific techniques. Spatial
Analysis Along Networks provides a practical guide to the necessary
statistical techniques and their computational implementation.
Each chapter illustrates a specific technique, from Stochastic
Point Processes on a Network and Network Voronoi Diagrams, to
Network K-function and Point Density Estimation Methods, and the
Network Huff Model. The authors also discuss and illustrate the
undertaking of the statistical tests described in a Geographical
Information System (GIS) environment as well as demonstrating the
user-friendly free software package SANET.
Spatial Analysis Along Networks:
- Presents a much-needed practical guide to statistical spatial
analysis of events on and alongside a network, in a logical,
- Introduces the preliminary methods involved, before detailing
the advanced, computational methods, enabling the readers a
complete understanding of the advanced topics.
- Dedicates a separate chapter to each of the major techniques
- Demonstrates the practicalities of undertaking the tests
described in the book, using a GIS.
- Is supported by a supplementary website, providing readers with
a link to the free software package SANET, so they can execute the
statistical methods described in the book.
Students and researchers studying spatial statistics, spatial
analysis, geography, GIS, OR, traffic accident analysis,
criminology, retail marketing, facility management and ecology will
benefit from this book.