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Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka

Rapid urbanization is leading to sprawling development around the world today, which is becoming a concerning issue for researchers and planners. Urban sprawl depends on the dynamics of land use, mainly on the built-up growth in this area. The study aims to apply and test the applicability of the CA...

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Main Authors: Mathanraj, S., Rusli, N., Ling, G. H. T.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
HT101-395 Sociology, Urban
Online Access:http://eprints.utm.my/id/eprint/97969/1/NoradilaRusli2021_ApplicabilityoftheCAMarkovModelinLandUse.pdf
http://eprints.utm.my/id/eprint/97969/
http://dx.doi.org/10.1088/1755-1315/620/1/012015
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spelling my.utm.979692022-11-10T01:56:33Z http://eprints.utm.my/id/eprint/97969/ Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka Mathanraj, S. Rusli, N. Ling, G. H. T. HT101-395 Sociology, Urban Rapid urbanization is leading to sprawling development around the world today, which is becoming a concerning issue for researchers and planners. Urban sprawl depends on the dynamics of land use, mainly on the built-up growth in this area. The study aims to apply and test the applicability of the CA-Markov model in the land use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka. The secondary data were used, which are Landsat images for years 1990, 2000, 2010, and 2020. The Supervised Maximum Likelihood classification, the Markovian transition estimate, and the CA-Markov chain analysis were employed with ArcGIS 10.6.1, IDRISI 17.0, and MS-Excel 2013. The result revealed that the existing and simulated maps for the years 2000, 2010, and 2020 showed an almost equal probability of changes. The simulation for 2030 is credible for the future prediction, which showed that a significant estimate occurs. Therefore, the CA-Markov model is appropriate for land use/land cover predictions. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97969/1/NoradilaRusli2021_ApplicabilityoftheCAMarkovModelinLandUse.pdf Mathanraj, S. and Rusli, N. and Ling, G. H. T. (2021) Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka. In: Advanced Geospatial and Surveying Conference 2020, AGeoS 2020, 7 October 2020, Perlis, Online. http://dx.doi.org/10.1088/1755-1315/620/1/012015
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic HT101-395 Sociology, Urban
spellingShingle HT101-395 Sociology, Urban
Mathanraj, S.
Rusli, N.
Ling, G. H. T.
Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka
description Rapid urbanization is leading to sprawling development around the world today, which is becoming a concerning issue for researchers and planners. Urban sprawl depends on the dynamics of land use, mainly on the built-up growth in this area. The study aims to apply and test the applicability of the CA-Markov model in the land use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka. The secondary data were used, which are Landsat images for years 1990, 2000, 2010, and 2020. The Supervised Maximum Likelihood classification, the Markovian transition estimate, and the CA-Markov chain analysis were employed with ArcGIS 10.6.1, IDRISI 17.0, and MS-Excel 2013. The result revealed that the existing and simulated maps for the years 2000, 2010, and 2020 showed an almost equal probability of changes. The simulation for 2030 is credible for the future prediction, which showed that a significant estimate occurs. Therefore, the CA-Markov model is appropriate for land use/land cover predictions.
format Conference or Workshop Item
author Mathanraj, S.
Rusli, N.
Ling, G. H. T.
author_facet Mathanraj, S.
Rusli, N.
Ling, G. H. T.
author_sort Mathanraj, S.
title Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka
title_short Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka
title_full Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka
title_fullStr Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka
title_full_unstemmed Applicability of the CA-Markov model in land-use/ land cover change prediction for urban sprawling in Batticaloa Municipal Council, Sri Lanka
title_sort applicability of the ca-markov model in land-use/ land cover change prediction for urban sprawling in batticaloa municipal council, sri lanka
publishDate 2021
url http://eprints.utm.my/id/eprint/97969/1/NoradilaRusli2021_ApplicabilityoftheCAMarkovModelinLandUse.pdf
http://eprints.utm.my/id/eprint/97969/
http://dx.doi.org/10.1088/1755-1315/620/1/012015
_version_ 1751536129059848192
score 13.211869

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