Please use this identifier to cite or link to this item:
Title: Methods to Quantify Regional Differences in Land Cover Change
Authors: Comber, Alexis
Balzter, Heiko
Cole, Beth
Fisher, Peter
Johnson, Sarah C. M.
Ogutu, Booker
First Published: 25-Feb-2016
Publisher: MDPI
Citation: Remote Sensing, 2016, 8 (3), 176
Abstract: This paper describes and illustrates methods for quantifying regional differences in land use/land cover changes. A series of approaches are used to analyse differences in land cover change from data held in change matrices. These are contingency tables and are commonly used in remote sensing to describe the spatial coincidence of land cover recorded over two time periods. Comparative analyses of regional change are developed using odds ratios to analyse data in two regions. These approaches are extended using generalised linear models to analyse data for three or more regions. A generalised Poisson regression model is used to generate a comparative index of change based on differences in change likelihoods. Mosaic plots are used to provide a visual representation of statistically surprising land use losses and gains. The methods are explored using a hypothetical but tractable dataset and then applied to a national case study of coastal land use changes over 50 years conducted for the National Trust. The suitability of the different approaches to different types of problem and the potential for their application to land cover accuracy measures are briefly discussed.
DOI Link: 10.3390/rs8030176
ISSN: 2072-4292
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, licensee MDPI, Basel, Switzerland 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Geography

Files in This Item:
File Description SizeFormat 
remotesensing-08-00176.pdfPublished (publisher PDF)2.9 MBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.