Spatial Analysis Along Networks
Statistical and Computational Methods
Published on 27. July 2012
Book
Hardback
306 pages
978-0-470-77081-8 (ISBN)
Description
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, user-friendly order.
* 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 involved.
* 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.
Reviews / Votes
"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." (Zentralblatt MATH, 1 May 2013)More details
Product info
gebunden
Series
Edition
1. Auflage
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 22 mm
Weight
618 gr
ISBN-13
978-0-470-77081-8 (9780470770818)
Schweitzer Classification
Other editions
Additional editions
Atsuyuki Okabe | Kokichi Sugihara
Spatial Analysis Along Networks
Statistical and Computational Methods
E-Book
07/2012
Wiley
€82.99
Available for download
Atsuyuki Okabe | Kokichi Sugihara
Spatial Analysis Along Networks
Statistical and Computational Methods
E-Book
06/2012
Wiley
€82.99
Available for download
Persons
Atsuyuki Okabe, Graduate School of Engineering, University of Tokyo
Professor Okabe has been studying statistical spatial analysis for 35 years, and specifically statistical spatial analysis on a network since 1995. One of the leading authorities in the area, he has published over 100 articles, in numerous international journals. He has also authored and edited four previous books.
Kokichi Sugihara, Graduate School of Information Science and Technology, University of Tokyo
Professor Sugihara has co-authored the book on Voronoi diagrams with A. Okabe. He is also an experienced author and lecturer.
Professor Okabe has been studying statistical spatial analysis for 35 years, and specifically statistical spatial analysis on a network since 1995. One of the leading authorities in the area, he has published over 100 articles, in numerous international journals. He has also authored and edited four previous books.
Kokichi Sugihara, Graduate School of Information Science and Technology, University of Tokyo
Professor Sugihara has co-authored the book on Voronoi diagrams with A. Okabe. He is also an experienced author and lecturer.
Content
Preface
Acknowledgements
Chapter 1 Introduction
1.1 What is network spatial analysis?
1.2 Review of studies of network events
1.3 Outline of the book
Chapter 2 Modeling events on and alongside networks
2.1 Modeling the real world
2.2 Modeling networks
2.3 Modeling entities on and alongside networks
2.4 Stochastic processes on network space
Chapter 3 Basic computational methods for network spatial analysis
3.1 Data structures for one-layer networks
3.2 Data Structures for nonplanar networks
3.3 Basic Geometric Computations
3.4. Basic computational methods on networks
Chapter 4 Network Voronoi diagrams
4.1 Ordinary network Voronoi diagram
4.2 Generalized network Voronoi diagrams
4.3 Computational methods for network Voronoi diagrams
Chapter 5 Network nearest-neighbor distance methods
5.1 Network auto nearest-neighbor distance method
5.2 Network cross nearest-neighbor distance method
5.3 Network nearest-neighbor distance method for lines
5.4 Computational methods for network nearest-neighbor distance methods
Chapter 6 Network K function methods
6.1 Network auto K function methods
6.2 Network cross K function methods
6.3 Network K function methods in relation to geometric characteristics of a network
6.4 Computational methods for the network K function methods
method
function method
Chapter 7 Network spatial autocorrelation
7.1 Classification of spatial autocorrelations
7.2 Spatial randomness of the attribute values of network cells
7.3 Network Moran's I statistics
7.4 Computational methods for network Moran's I statistics
Chapter 8 Network point cluster analysis and clumping method
8.1 Network point cluster analysis
8.2 Network clumping method
8.3 Computational methods for network point cluster analysis and clumping method
Chapter 9 Network point density estimation methods
9.1 Network histograms
9.2 Network kernel density estimation methods
9.3 Computational methods for network point density estimation
Chapter 10 Network spatial interpolation
10.1 Network inverse-distance weighting
10.2 Network kriging
10.3 Computational methods for network spatial interpolation
Chapter 11 Network Huff model
11.1 Concepts of the network Huff model
11.2 Computational methods for the Huff-based demand estimation
11.3 Computational methods for the Huff-based locational optimization
Chapter 12 GIS-based tools for spatial analysis along networks and their application
12.1 Preprocessing tools in SANET
12.2 Statistical tools in SANET and their applications
References
Index