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Fundamentals of Spatial Analysis and Modelling

By

Jay Gao



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ISBN 9781032115757
December 22, 2021 Forthcoming by CRC Press
376 Pages 155 B/W Illustrations

 
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Book Description

This textbook provides comprehensive and in-depth explanations of all topics related to spatial analysis and spatiotemporal simulation, including how spatial data are acquired, represented digitally, and spatially aggregated. Also features the nature of space and how it is measured. Descriptive, explanatory, and inferential analyses are covered for point, line, and area data. It captures the latest developments in spatiotemporal simulation with cellular automata and agent-based modelling, and through practical examples discusses how spatial analysis and modelling can be implemented in different computing platforms. A much-needed textbook for a course at upper undergraduate and postgraduate levels.

Table of Contents

1.Introduction

2.Space in Spatial Analysis

3.Spatial Data and Association

4.Descriptive and Inferential Spatial Analysis

5. Geostatistics and Spatial Interpolation

6. Spatial Modelling

7.Spatial Simulation

8.Time-explicit Spatial Analysis and Modelling

 

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Author(s)

Biography

Dr. Jay Gao is an Associate Professor at the Faculty of Science, University of Auckland, New Zealand. He received his BE in photogrammetric engineering from Wuhan Technical University of Surveying and Mapping, China; his MS from the University of Toronto, Canada; and his PhD from the University of Georgia in the U.S. in 1992. Over his academic career, has carried out many research projects on remote sensing, GIS, GPS and their integrated applications in natural resource management and environmental monitoring focused on quantitative remote sensing and integration of geo-computational methods. His recent research is focused on mapping of land covers from satellite imagery using spatial information. He is an Associate Editor of ISPRS Journal of Photogrammetry and Remote Sensing and has published numerous research articles. His textbook Digital Analysis of Remotely Sensed Imagery was published by McGraw-Hill Education in 2009.