International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Comparison of Model Validation Techniques for Land Cover Dynamics in Jodhpur City
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Author Name: |
S. L. Borana, S.K.Yadav |
Abstract: |
Abstract: This study investigate comparison of Land cover
map to quantify the characteristics of three different land
change simulation 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. It is found that
MLP Markov gives the best results among the three modeling
techniques. After simulating the land cover dynamics, various
model validation techniques such as per category method,
kappa statistics and fuzzy methods have been used. A
comparative study of the validation techniques has also been
analyze. Fuzzy set theory is the method that seems best able to
distinguish areas of minor spatial errors from major spatial
errors. Based on the output results, it is recommended to use
the Kappa, map comparison and fuzzy methods for model
validation process. This study demonstrates the range of results
for a variety of model validation techniques which can be use
for future research.
Keywords: Validation, Fuzzy Kappa, MLP_Markov |
Cite this article: |
S. L. Borana, S.K.Yadav , "
Comparison of Model Validation Techniques for Land Cover Dynamics in Jodhpur City " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 6, Issue 5, September - October 2017 , pp.
215-219 , ISSN 2278-6856.
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