Progress in Geospatial Analysis

  • Yuji Murayama

Table of contents

  1. Front Matter
    Pages i-xii
  2. Yuji Murayama
    Pages 1-9
  3. Geospatial Data Acquisition and Processing

    1. Front Matter
      Pages 11-11
    2. Duong Dang Khoi, Kondwani Godwin Munthali
      Pages 13-28
    3. Ko Ko Lwin, Ronald C. Estoque, Yuji Murayama
      Pages 29-48
  4. Geospatial Theories and Methods

    1. Front Matter
      Pages 49-49
    2. Yaolong Zhao
      Pages 51-71
    3. Rajesh Bahadur Thapa, Ronald C. Estoque
      Pages 85-96
    4. Rajesh Bahadur Thapa
      Pages 97-106
    5. Courage Kamusoko
      Pages 107-124
    6. Duong Dang Khoi, Yuji Murayama
      Pages 125-141
    7. Kondwani Godwin Munthali
      Pages 143-156
    8. Ronald C. Estoque
      Pages 157-181
    9. Ko Ko Lwin, Yuji Murayama
      Pages 183-194
  5. Applications in Geospatial Analysis

    1. Front Matter
      Pages 195-195
    2. Rajesh Bahadur Thapa, Yuji Murayama
      Pages 197-214
    3. Duong Dang Khoi, Yuji Murayama
      Pages 215-235
    4. Kondwani Godwin Munthali, Yuji Murayama
      Pages 273-285
  6. Back Matter
    Pages 287-291

About this book


This book examines current trends and developments in the methods and applications of geospatial analysis and highlights future development prospects. It provides a comprehensive discussion of remote sensing- and geographical information system (GIS)-based data processing techniques, current practices, theories, models, and applications of geospatial analysis. Data acquisition and processing techniques such as remote sensing image selections, classifications, accuracy assessments, models of GIS data, and spatial modeling processes are the focus of the first part of the book. In the second part, theories and methods related to fuzzy sets, spatial weights and prominence, geographically weighted regression, weight of evidence, Markov-cellular automata, artificial neural network, agent-based simulation, multi-criteria evaluation, analytic hierarchy process, and a GIS network model are included. Part three presents selected best practices in geospatial analysis. The chapters, all by expert authors, are arranged so that readers who are new to the field will gain an overview and important insights. Those readers who are already practitioners will gain from the advanced and updated materials and state-of-the-art developments in geospatial analysis.


GIS Neural Network Remote Sensing Spatial Analysis Visualization

Editors and affiliations

  • Yuji Murayama
    • 1
  1. 1.Graduate School of Life and Environmenta, Division of Spatial Information ScienceUniversity of TsukubaTsukubaJapan

Bibliographic information