A spatial data set is a data set in which each observation is referenced to a site or area. Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book, therefore, is to describe to students and research workers in the social and environmental sciences the current methods available for the analyses of spatial data. Methods described include data description, map interpolation, exploratory and explanatory analyses. The book also examines how spatial referencing raises a distinctive set of issues for the data analyst and recognizes the need to test underlying statistical assumptions. Further, methods for detecting problems, assessing their seriousness and taking appropriate action are discussed.
FREE Two-Day Shipping for students on millions of items. Learn more |
| |||||||||||||||
Book Description
Editorial Reviews
Review
"The book is well organized, and the choice of topics and the carefully selected references offer access points to a wide literature base. A modeling approach is emphasized, and the author does a noteworthy job of integrating a complex subject matter into a coherent framework....excellent book." Geoffrey M. Jacquez, The Quarterly Review of Biology
"...this book is interesting, and I like the prominence it gives to exploratory data analysis in spatial contexts." Dale Zimmerman, Journal of the American Statistical Association
"...written primarily for graduate students and researchers in the social and environmental sciences, an audience that should find the book very interesting and informative." Carol A. Gotway, Technometrics
"...can be seen as forming part of the 'next generation' of standard reference works on methods of spatial data analysis..." Journal of Regional Science
"...contains a fairly up-to-date collection of statistical approaches to the many facets of spatial data analysis. It provides an excellent overview of a set of very important statistical tools, at all levels of application." Hyejung Chang, Chance
"...this book is interesting, and I like the prominence it gives to exploratory data analysis in spatial contexts." Dale Zimmerman, Journal of the American Statistical Association
"...written primarily for graduate students and researchers in the social and environmental sciences, an audience that should find the book very interesting and informative." Carol A. Gotway, Technometrics
"...can be seen as forming part of the 'next generation' of standard reference works on methods of spatial data analysis..." Journal of Regional Science
"...contains a fairly up-to-date collection of statistical approaches to the many facets of spatial data analysis. It provides an excellent overview of a set of very important statistical tools, at all levels of application." Hyejung Chang, Chance
Book Description
Data description, map interpolation, exploratory and explanatory analyses are among the methods described that are currently available for the analyses of spatial data to students and research workers in the social and environmental sciences.
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
18 of 22 people found the following review helpful:
5.0 out of 5 stars
Excellent book, covers all the bases,
By A Customer
This review is from: Spatial Data Analysis in the Social and Environmental Sciences (Paperback)
Robert Haining's book is the definitive source for spatial data analysis. He provides an excellent introduction to spatial statistics which leads naturally to discussion of the more advanced methodologies available to researchers. Well recommended for geographers with some familiarity with inferential statistics
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
First Sentence:
This chapter considers problems arising in handling and analysing spatial data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
randomisation assumption, classical inference model, spatial error model, trend surface model, autologistic model, other site values, median polishing, areal partition, high leverage values, cross product statistic, strict distributional assumptions, describing spatial variation, analysing spatial data, areal framework, representing spatial variation, spatial stationarity, resistant methods, spatial outliers, confirmatory data analysis, spatial data analysis, different sampling designs, order neighbours, standardised mortality rates, neighbouring values, standardised residuals Key Phrases - Capitalized Phrases (CAPs): (learn more)
After Haining, Plas Gogerddan, Add Log, After Hubert, Monte Carlo New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This chapter considers problems arising in handling and analysing spatial data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
randomisation assumption, classical inference model, spatial error model, trend surface model, autologistic model, other site values, median polishing, areal partition, high leverage values, cross product statistic, strict distributional assumptions, describing spatial variation, analysing spatial data, areal framework, representing spatial variation, spatial stationarity, resistant methods, spatial outliers, confirmatory data analysis, spatial data analysis, different sampling designs, order neighbours, standardised mortality rates, neighbouring values, standardised residuals Key Phrases - Capitalized Phrases (CAPs): (learn more)
After Haining, Plas Gogerddan, Add Log, After Hubert, Monte Carlo New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 41
books:
See all 41 books this book cites
49
books
cite this book:
See all 49 books citing this book
- Geostatistics for natural resources characterization (NATO Asi Series. Series C, Mathematical and Physical Science) (Pt. 2) by G. Verly on 7 pages
- Understanding Robust and Exploratory Data Analysis by David C. Hoaglin on 5 pages
- Remote Sensing: Symposium Proceedings by G. K. C. Pardoe on 4 pages
- Spatial Statistics and Models (Theory and Decision Library) by G.L. Gaile on 4 pages
- Exploratory and Explanatory Statistical Analysis of Spatial Data by C.P.A. Bartels in Back Matter (1), Back Matter (2), and Back Matter (3)
See all 41 books this book cites
- S+SpatialStats: User's Manual for Windows and UNIX by Stephen P. Kaluzny on 7 pages
- Practical Handbook of Spatial Statistics by Sandra Arlinghaus on 6 pages
- Spatial Analysis And GIS (Technical Issues in Geographic Information Systems) by S Fotheringham on page 42, page 120, and page 162
- A Casebook for Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets (Spatial Information Systems) by Daniel A. Griffith in Front Matter, and Back Matter
- Biostatistical Applications in Cancer Research (Cancer Treatment and Research) by Craig Beam on page 146, and page 180
See all 49 books citing this book
Books on Related Topics
(learn more)
|
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product).
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
So You'd Like to...
Look for Similar Items by Category
- Books > New & Used Textbooks > Science & Mathematics > Biology & Life Sciences > Biology
- Books > New & Used Textbooks > Science & Mathematics > Biology & Life Sciences > Ecology
- Books > New & Used Textbooks > Science & Mathematics > Earth Sciences
- Books > New & Used Textbooks > Science & Mathematics > Mathematics > Statistics
- Books > New & Used Textbooks > Social Sciences
- Books > Politics & Social Sciences > Social Sciences
- Books > Science & Math > Biological Sciences > Biology
- Books > Science & Math > Biological Sciences > Ecology
- Books > Science & Math > Earth Sciences > Geography > Regional
- Books > Science & Math > Mathematics
