Applications of Spatial Statistics

Ming Hung

ISBN 10: 953512756X / ISBN 13: 9789535127567

Published by Intechopen Nov 2016, 2016

About this Item

Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 156 pp. Englisch.

Seller Inventory # 9789535127567

Bibliographic Details

• Title: Applications of Spatial Statistics
• Publisher: Intechopen Nov 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 953512756X
• ISBN 13: 9789535127567
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 16D millimeters 266 millimeters width by 185 millimeters height by 16 millimeters depth
• Weight: 558 grams

About this title

Synopsis

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.