Ahmed, Bayes;
Ahmed, Raquib;
Zhu, Xuan;
(2013)
Evaluation of Model Validation Techniques in Land Cover Dynamics.
ISPRS: International Journal of Geo-Information
, 2
(3)
577 - 597.
10.3390/ijgi2030577.
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Abstract
This paper applies different methods of map comparison to quantify the characteristics of three different land change models. The land change models used for simulation are termed as “Stochastic Markov (St_Markov)”, “Cellular Automata Markov (CA_Markov)” and “Multi Layer Perceptron Markov (MLP_Markov)” models. Various model validation techniques such as per category method, kappa statistics, components of agreement and disagreement, three map comparison and fuzzy methods have then been applied. A comparative analysis of the validation techniques has also been discussed. In all cases, it is found that “MLP_Markov” gives the best results among the three modeling techniques. Fuzzy set theory is the method that seems best able to distinguish areas of minor spatial errors from major spatial errors. Based on the outcome of this paper, it is recommended that scientists should try to use the Kappa, three map comparison and fuzzy methods for model validation. This paper facilitates communication among land change modelers, because it illustrates the range of results for a variety of model validation techniques and articulates priorities for future research.
| Type: | Article |
|---|---|
| Title: | Evaluation of Model Validation Techniques in Land Cover Dynamics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/ijgi2030577 |
| Publisher version: | http://dx.doi.org/10.3390/ijgi2030577 |
| Language: | English |
| Additional information: | Copyright © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
| Keywords: | Model validation, Map comparison, Land cover change, Kappa, fuzzy, Markov chain, Cellular automata, Artificial neural network, Three map comparison |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1418949 |
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