Geographic Information Analysis by David O'Sullivan and David Unwin (2002,...
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Item specifics
- Condition
- Like New
- Seller Notes
- “As New”
- Book Title
- Geographic Information Analysis
- Narrative Type
- Nonfiction
- ISBN
- 9780471211761
- Subject Area
- Mathematics, Technology & Engineering, Science
- Publication Name
- Geographic Information Analysis
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.4 in
- Subject
- Earth Sciences / Geography, Probability & Statistics / General, Remote Sensing & Geographic Information Systems
- Publication Year
- 2002
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.1 in
- Item Weight
- 25.9 Oz
- Item Width
- 6.5 in
- Number of Pages
- 448 Pages
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471211761
ISBN-13
9780471211761
eBay Product ID (ePID)
2341218
Product Key Features
Number of Pages
448 Pages
Language
English
Publication Name
Geographic Information Analysis
Subject
Earth Sciences / Geography, Probability & Statistics / General, Remote Sensing & Geographic Information Systems
Publication Year
2002
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
25.9 Oz
Item Length
9.4 in
Item Width
6.5 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2002-028837
Reviews
"...a strong text...should be commended with its attention to practical examples..." ( Progress in Human Geography , Vol.27, No.5, 2003)
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
910.285
Table Of Content
Preface.1. Geographic Information Analysis and Spatial Data.Chapter Objectives.1.1 Introduction.1.2 Spatial Data Types.1.3 Scales for Attribute Description.1.4 GIS Analysis, Spatial Data Manipulation, and Spatial Analysis.1.5 Conclusion.Chapter Review.References.2. The Pitfalls and Potential of Spatial Data.Chapter Objectives.2.1 Introduction.2.2 The Bad News: The Pitfalls of Spatial Data.2.3 The Good News: The Potential of Spatial Data.2.4 Preview: The Variogram Cloud and the Semivariogram.Chapter Review.References.3. Fundamentals: Maps as Outcomes of Processes.Chapter Objectives.3.1 Introduction.3.2 Processes and the Patterns They Make.3.3 Predicting the Pattern Generated by a Process.3.4 More Definitions.3.5 Stochastic Processes in Lines, Areas, and Fields.3.6 Conclusion.Chapter Review.References.4. Point Pattern Analysis.Chapter Objectives.4.1 Introduction.4.2 Describing a Point Pattern.4.3 Density-Based Point Pattern Measures.4.4 Distance-Based Point Pattern Measures.4.5 Assessing Point Patterns Statistically.4.6 Two Critiques of Spatial Statistical Analysis.4.7 Conclusion.Chapter Review.References.5. Practical Point Pattern Analysis.Chapter Objectives.5.1 Point Pattern Analysis versus Cluster Detection.5.2 Extensions of Basic Point Pattern Measures.5.3 Using Density and Distance: Proximity Polygons.5.4 Note on Distance Matrices and Point Pattern Analysis.5.5 Conclusion.Chapter Review.References.6. Lines and Networks.Chapter Objectives.6.1 Introduction.6.2 Representing and Storing Linear Entities.6.3 Line Length: More Than Meets the Eye.6.4 Connection in Line Data: Trees and Graphs.6.5 Statistical Analysis of Geographical Line Data.6.6 Conclusion.Chapter Review.References.7. Area Objects and Spatial Autocorrelation.Chapter Objectives.7.1 Introduction.7.2 Types of Area Object.7.3 Geometric Properties of Areas.7.4 Spatial Autocorrelation: Introducing the Joins Count Approach.7.5 Fully Worked Example: The 2000 U.S. Presidential Election.7.6 Other Measures of Spatial Autocorrelation.7.7 Local Indicators of Spatial Association.Chapter Review.References.8. Describing and Analyzing Fields.Chapter Objectives.8.1 Introduction.8.2 Modeling and Storing Field Data.8.3 Spatial Interpolation.8.4 Derived Measures on Surfaces.8.5 Conclusion.Chapter Review.References.9. Knowing the Unknowable: The Statistics of Fields.Chapter Objectives.9.1 Introduction.9.2 Review of Regression.9.3 Regression on Spatial Coordinates: Trend Surface Analysis.9.4 Statistical Approach to Interpolation: Kriging.9.5 Conclusion.Chapter Review.References.10. Putting Maps Together: Map Overlay.Chapter Objectives.10.1 Introduction.10.2 Polygon Overlay and Sieve Mapping.10.3 Problems in Simple Boolean Polygon Overlay.10.4 Toward a General Model: Alternatives to Boolean Overlay.10.5 Conclusion.Chapter Review.References.11. Multivariate Data, Multidimensional Space, and Spatialization.Chapter Objectives.11.1 Introduction.11.2 Multivariate Data and Multidimensional Space.11.3 Distance, Difference, and Similarity.11.4 Cluster Analysis: Identifying Groups of Similar Observations.11.5 Spatialization: Mapping Multivariate Data.11.6 Reducing the Number of Variables: Principal Components Analysis.11.7 Conclusion.Chapter Review.References.12. New Approaches to Spatial Analysis.Chapter Objectives.12.1 Introduction.12.2 Geocomputation.12.3 Spatial Models.12.4 Conclusion.Chapter Review.References.A. The Elements of
Synopsis
Presents the spatial analytical foundation of geographic information systems which are instrumental to the emergent study of GIScience. This book covers spatial concepts such as points, lines, areas and surfaces, and analytical techniques such as projection, nearest neighbour, fractals, triangulation, and geostatistics., Clear, up-to-date coverage of methods for analyzing geographical information in a GIS context Geographic Information Analysis presents clear and up-to-date coverage of the foundations of spatial analysis in a geographic information systems environment. Focusing on the universal aspects of spatial data and their analysis, this book covers the scientific assumptions and limitations of methods available in many geographic information systems. Throughout, the fundamental idea of a map as a realization of a spatial stochastic process is central to the discussion. Key spatial concepts are covered, including point pattern, line objects and networks, area objects, and continuous fields. Analytical techniques for each of these are addressed, as are methods for combining maps, exploring multivariate data, and performing computationally intensive analysis. Appendixes provide primers on basic statistics and linear algebra using matrices. Complete with chapter objectives, summaries, "thought exercises," a wealth of explanatory diagrams, and an annotated bibliography, Geographic Information Analysis is a practical book for students, as well as a valuable resource for researchers and professionals in the industry.
LC Classification Number
G70.212.U69 2002
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- c***e (121)- Feedback left by buyer.Past monthVerified purchaseExcellent communication, packaging and value. Fast shipping ~ a very good seller 😊
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Seller feedback (398)
- c***e (121)- Feedback left by buyer.Past monthVerified purchaseExcellent communication, packaging and value. Fast shipping ~ a very good seller 😊
- t***e (71)- Feedback left by buyer.Past 6 monthsVerified purchaseTerrific vendor. Shipping and packaging were great, item was as described, and price was good. Highly recommended.
- p***f (964)- Feedback left by buyer.Past monthVerified purchaseWell-packaged and promptly shipped book in excellent condition and at a fair price. A+ transaction!