Authors:
- This book is about spatial statistics and spatial analysis.-
- The large number of georeferenced data analysis from various parts of the world is of particular interest to the reader.
- These datasets contain interval/ratio, binary, percentage and counts variables.- Enables the reader to effectively visualize and analyze spatial autocorrelation latent n georeferenced data.
Part of the book series: Advances in Spatial Science (ADVSPATIAL)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Exploiting the old maxim that "a picture is worth a thousand words," scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. It introduces a nonverbal model into subdisciplines that hitherto employed mostly or only mathematical or verbal-conceptual models. The focus of this monograph is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed, affording spatial data analyses that are better understood, presented, and used. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies and is one of the key features of georeferenced data, or data tagged to the earth's surface - is further de-mystified. This self-correlation arises from relative locations in geographic space.
Reviews
From the reviews:
"Daniel Griffith here makes an effort to expand the methodological toolbox of spatial analysis by presenting, analyzing, and meticulously demonstrating with numerous examples, the applications of spatial filtering … . In sum, many readers will find the book an appealing source of geographic and statistical material, richly supplemented by the use of scientific visualization … . Conceivably, spatial researchers will appreciate its invigorating introduction to mathematical-geographical properties of spatial datasets, and the statisticians will enjoy its many witty and challenging examples." (Oleg Smirnov, Journal of Regional Science, Vol. 44 (3), 2004)
Authors and Affiliations
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Department of Geography, Syracuse University, Syracuse, USA
Daniel A. Griffith
Bibliographic Information
Book Title: Spatial Autocorrelation and Spatial Filtering
Book Subtitle: Gaining Understanding Through Theory and Scientific Visualization
Authors: Daniel A. Griffith
Series Title: Advances in Spatial Science
DOI: https://doi.org/10.1007/978-3-540-24806-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-00932-0Published: 10 July 2003
Softcover ISBN: 978-3-642-05666-6Published: 05 December 2010
eBook ISBN: 978-3-540-24806-4Published: 19 March 2013
Series ISSN: 1430-9602
Series E-ISSN: 2197-9375
Edition Number: 1
Number of Pages: XIV, 250
Topics: Geography, general, Probability Theory and Stochastic Processes, Geographical Information Systems/Cartography, Statistics for Business, Management, Economics, Finance, Insurance, Monitoring/Environmental Analysis, Econometrics