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Author: John Odland
Publisher: SAGE Publications, Incorporated
Published: 1988-03
Total Pages: 96
ISBN-13:
DOWNLOAD EBOOKAutocorrelation occurs whenever a variable exhibits a regular pattern over space, when its values at a set of locations depend on values of the same variables at other locations.Odland introduces spatial autocorrelation to the reader in a concise and readable fashion, and describes the statistical p.
Author: Daniel A. Griffith
Publisher: Springer Science & Business Media
Published: 2013-03-19
Total Pages: 261
ISBN-13: 3540248064
DOWNLOAD EBOOKScientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus 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. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.
Author: Andrew David Cliff
Publisher:
Published: 1973
Total Pages: 202
ISBN-13:
DOWNLOAD EBOOKMonograph on statistical analysis methodology for measurement of geographic distribution - develops the theory of spatial autocorrelation together with sample procedures, and considers their use in the presentation and evaluation of maps showing statistical tables in the fields of economic geography and human geography. Bibliography pp. 173 to 176 and graphs.
Author: George Grekousis
Publisher: Cambridge University Press
Published: 2020-06-11
Total Pages: 535
ISBN-13: 1108498981
DOWNLOAD EBOOKAn introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Author: Jean Dubé
Publisher: John Wiley & Sons
Published: 2014-11-10
Total Pages: 242
ISBN-13: 1848214685
DOWNLOAD EBOOKThis book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency. The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach. This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.
Author: Daniel A. Griffith
Publisher:
Published: 1987
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOKAuthor: James LeSage
Publisher: CRC Press
Published: 2009-01-20
Total Pages: 362
ISBN-13: 1420064258
DOWNLOAD EBOOKAlthough interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observat
Author: Daniel Griffith
Publisher: Academic Press
Published: 2019-09-14
Total Pages: 288
ISBN-13: 0128156929
DOWNLOAD EBOOKSpatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter. This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre. - Reviews the uses of ESF across linear regression, generalized linear regression, spatial autocorrelation measurement, and spatially varying coefficient models - Includes computer code and template datasets for further modeling - Provides comprehensive coverage of related concepts in spatial data analysis and spatial statistics
Author: Manfred M. Fischer
Publisher: Springer Science & Business Media
Published: 2009-12-24
Total Pages: 801
ISBN-13: 3642036473
DOWNLOAD EBOOKThe Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.
Author: Shashi Shekhar
Publisher: Springer Science & Business Media
Published: 2007-12-12
Total Pages: 1392
ISBN-13: 038730858X
DOWNLOAD EBOOKThe Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.
