Applications of Spatial Statistics
eBook - PDF

Applications of Spatial Statistics

  1. 156 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Applications of Spatial Statistics

About this book

Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate students who know statistics and want to explore how it can be applied to spatial data. With the processing part being simplified to several mouse clicks by commercial software, one should pay more attention to justification of using spatial statistics, as well as interpretation and assessment of the results. GIScience proves to be a useful tool in visualization of spatial data, and such useful technology should be utilized, as part, for the interpretation and assessment of the results.

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Yes, you can access Applications of Spatial Statistics by Ming-Chih Hung in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geography. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2016
Print ISBN
9789535127567
eBook ISBN
9789535150855

Table of contents

  1. Applications of Spatial Statistics
  2. Contents
  3. Preface
  4. Chapter 1 Application of Spatial Statistics in Transportation Engineering
  5. Chapter 2 Comparison of Spatial Interpolation Techniques Using Visualization and Quantitative Assessment
  6. Chapter 3 Wage Concentration in Spain: A Spatial Analysis
  7. Chapter 4 Spatial Optimization of Urban Cellular Automata Model
  8. Chapter 5 Structural Diversity of Plant Populations: Insight from Spatial Analyses
  9. Chapter 6 Practical Value of User‐Centred Spatial Statistics for Responsive Urban Planning