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eBook Geographically Weighted Regression: The Analysis of Spatially Varying Relationships download

by Chris Brunsdon,Martin Charlton,A. Stewart Fotheringham

eBook Geographically Weighted Regression: The Analysis of Spatially Varying Relationships download ISBN: 0471496162
Author: Chris Brunsdon,Martin Charlton,A. Stewart Fotheringham
Publisher: Wiley; 1 edition (October 11, 2002)
Language: English
Pages: 284
ePub: 1961 kb
Fb2: 1949 kb
Rating: 4.6
Other formats: rtf mobi doc docx
Category: Math Sciences
Subcategory: Earth Sciences

If relationships do vary significantly over space, then serious questions are raised about the reliability of traditional, global-level analyses

If relationships do vary significantly over space, then serious questions are raised about the reliability of traditional, global-level analyses. Instead of being restricted to simple global analyses in which interesting local variations in relationships are 'averaged away' and unobservable, GWR allows local relationships to be measured and mapped

Geographically weighted regression (GWR) is an important local technique for exploring spatial heterogeneity in data relationships.

Geographically weighted regression (GWR) is an important local technique for exploring spatial heterogeneity in data relationships. In fitting with Tobler's first law of geography, each local regression of GWR is estimated with data whose influence decays with distance, distances that are commonly defined as straight line or Euclidean. Here we use as a case study, a London house price data set coupled with hedonic independent variables, where GWR models are calibrated with Euclidean distance (ED), road network distance and travel time metrics.

Geographically Weighted Regression: The Analysis of SpatiallyVarying Relationships is based on the premise thatrelationships between variables measured at different locationsmight not be constant over space. The prevailing assumption is thatsuch relationships are constant, an assumption that would appear tobe the result of convenience rather than of any serious examinationof the issues.

Geographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis. This technique allowslocal as opposed to global models of relationships to be measuredand mapped

Geographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis. This technique allowslocal as opposed to global models of relationships to be measuredand mapped. This is the first and only book on this technique,offering comprehensive coverage on this new 'hot' topic in spatialanalysis. Geographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis.

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis.

Stewart Fotheringham, Chris Brunsdon, Martin Charlton Chris Brunsdon, Senior Lecturer in Spatial Analysis, University of Newcastle.

Stewart Fotheringham, Chris Brunsdon, Martin Charlton. ISBN: 978-0-471-49616-8 October 2002 284 Pages. Chris Brunsdon, Senior Lecturer in Spatial Analysis, University of Newcastle. Martin Charlton, Lecturer in Geographical Information Systems, University of Newcastle. Local Statistics and Local Models for Spatial Data.

2002) Geographically Weighted Regression: The Analysis of Spatially Varying Relationship, published by. .Draws the regression line on the plot summary(model1) Not unsurprisingly, the relationship is significant at a very high confidence level

2002) Geographically Weighted Regression: The Analysis of Spatially Varying Relationship, published by Wiley. The discussion of R and how it works is here kept to a minimum. Draws the regression line on the plot summary(model1) Not unsurprisingly, the relationship is significant at a very high confidence level. But, what about the residuals – is there a geographical patterning to where the model over- or under-predicts?

Geographically weighted regression: the analysis of spatially varying relationships. Geographically weighted regression. C Brunsdon, S Fotheringham, M Charlton.

Geographically weighted regression: the analysis of spatially varying relationships. AS Fotheringham, C Brunsdon, M Charlton. John Wiley & Sons Inc, 2002. Journal of the Royal Statistical Society: Series D (The Statistician) 47 (. 1998. Geographically Weighted 36 Spatial Non-Stationarity. Journal of the Royal Statistical Society 37, 431-443, 1998.

Why might measured relationships vary spatially?

Why might measured relationships vary spatially?

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. A Stewart Fotheringham, M Charlton, C Brunsdon. International Journal of Geographical Information Systems 10 (5), 605-627, 1996. Local forms of spatial analysis. John Wiley & Sons, 2003. Geographically weighted regression: a method for exploring spatial nonstationarity. C Brunsdon, AS Fotheringham, ME Charlton. Geographical analysis 28 (4), 281-298, 1996. AS Fotheringham, C Brunsdon. Geographical analysis 31 (4), 340-358, 1999. The British General Election of.

Geographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis. This technique allowslocal as opposed to global models of relationships to be measuredand mapped. This is the first and only book on this technique,offering comprehensive coverage on this new 'hot' topic in spatialanalysis. * Provides step-by-step examples of how to use the GWR model usingdata sets and examples on issues such as house price determinants,educational attainment levels and school performance statistics* Contains a broad discussion of and basic concepts on GWR throughto ideas on statistical inference for GWR models * uniquely features accompanying author-written software thatallows users to undertake sophisticated and complex forms of GWRwithin a user-friendly, Windows-based, front-end (see book fordetails).
Comments: (4)
Vaua
perfect
Doulkree
This "book" is supposed to be 60 pages long. In reality, there is only 10 pages with typing on them, many of these with less than a quarter page of notes. This probably has less than 5 pages of notes. And the notes are not only useless, in at least one case it is wrong. The company probably did not even read the book it is commenting on. In one case, it defines "loess" as a type of soil. While that is true, the actual book is using "loess" to refer to a type of nonparametric regression. There are close to 50 pages that are lined completely like notebook paper, so the reader can write notes. What a ripoff! I'm surprised that sellers like Amazon can get away with selling this book, especially with the misleading info that it has 60 pages!
Kashicage
This book gives the theoretical background, as well as the real world application (a harmonious relationship imperative to sound learning which is often missing from similar texts!). One of those books you want on the shelf of your desk at all times so you can reference it any time you need it; it's a text book and manual in one.
Efmprof
The book is well organized, with many useful maps and diagrams so that those not too keen on mathematical formulas can understand what is being explained. I am not a statistician, and I was able to read and understand the text. And GWR is a most wonderful advancement, I am very excited about using it for my research. I would give this book five stars if it was not for my feeling of being mislead by the Amazon's review and the book itself into believing that buying the book would give me access to the software, and all the time I have been wasting with waiting for the book to arrive, exchanging e-mails with the author, etc.

Amazon's editorial review / book description states "uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details)".

It happens that *see book for details* refers to getting the software, because the software DOES NOT come with the book. The details are on a footnote on page 207: "The software is made available to users on condition that it is not used for commercial purposes (...) A small charge is made to cover the costs of packing and postage".

Well, Dr. Fotheringham told me through e-mail that, despite having bought the book and being an academic user, I still have to pay 55 euros to get the software.

I had read the book already, and bought it simply to have access to the software, so I am very displeased to be forced to pay 55 euros on top of the price of the book to have a software that is said to be accompanying it.