Spatial-temporal analysis of pattern changes and prediction in Penang Island, Malaysia using LULC and CA-Markov model

Applied Ecology and Environmental Research

Volumn 16, Issue 4, 2018, Pages 4619-4635

  Hua, A K ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Accuracy; CA Markov; Future land use; Land use land cover change; Penang island

Indexed keywords

EID: 85052056385     PISSN: 15891623     EISSN: 17850037     Source Type: Journal    
DOI: 10.15666/aeer/1604_46194635     Document Type: Article

References (37)

1. Adhikari, S., Southworth, J. (2012): Simulating forest cover changes of Bannerghatta National Park based on a CA-Markov model: a remote sensing approach. – Remote Sensing 4(10): 3215-3243.
2. Agarwal, C., Green, G. M., Grove, J. M., Evans, T. P., Schweik, C. M. (2002): A Review and Assessment of Land-Use Change Models: Dynamics of Space, Time, and Human Choice. – Gen. Tech. Rep. NE-297, U.S. department of Agriculture, Forest Service, Northeastern Research Station, Newton Square, PA.
3. Ahmad, F., Yahaya, A. S., Farooqi, M. A. (2006): Characterization and geotechnical properties of Penang residual soils with emphasis on landslides. – Am J Environ Sci 2(4): 121-128.
4. Angelsen, A., Kaimowitz, D. (1999): Rethinking the causes of deforestation: lessons from economic models. – The World Bank Research Observer 14(1): 73-98.
5. Baker, W. L. (1989): A review of models of landscape change. – Landscape Ecology 2(2): 111-133.
6. Behera, D. M., Borate, S. N., Panda, S. N., Behera, P. R., Roy, P. S. (2012): Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model–A geo-information based approach. – Journal of Earth System Science 121(4): 1011-1024.
7. Bell, E. J., Hinojosa, R. C. (1977): Markov analysis of land use change: continuous time and stationary processes. – Socio-Economic Planning Sciences 11(1): 13-17.
8. Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., Lambin, E. (2004): Review ArticleDigital change detection methods in ecosystem monitoring: a review. – International Journal of Remote Sensing 25(9): 1565-1596.
9. Eastman, J. R. (2009): IDRISI Guide to GIS and Image Processing. – Accessed in IDRISI Selva 17, pp. 182-185. Clark University, Worcester, MA.
10. El-Kawy, O. A., Rød, J. K., Ismail, H. A., Suliman, A. S. (2011): Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. – Applied Geography 31(2): 483-494.
11. Freier, K. P., Schneider, U. A., Finckh, M. (2011): Dynamic interactions between vegetation and land use in semi-arid Morocco: Using a Markov process for modeling rangelands under climate change. – Agriculture, Ecosystems & Environment 140(3): 462-472.
12. Guan, D., Li, H., Inohae, T., Su, W., Nagaie, T., Hokao, K. (2011): Modeling urban land use change by the integration of cellular automaton and Markov model. – Ecological Modelling 222(20): 3761-3772.
13. Halmy, M. W. A., Gessler, P. E., Hicke, J. A., Salem, B. B. (2015): Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. – Applied Geography 63: 101-112.
14. Hua, A. K. (2017): Land use land cover changes in detection of water quality: a study based on remote sensing and multivariate statistics. – Journal of Environmental and Public Health 2017: 7515130. https://doi.org/10.1155/2017/7515130.
15. Kityuttachai, K., Tripathi, N. K., Tipdecho, T., Shrestha, R. (2013): CA-Markov analysis of constrained coastal urban growth modeling: Hua Hin seaside city, Thailand. – Sustainability 5(4): 1480-1500.
16. Lambin, E. F. (1997): Modelling and monitoring land-cover change processes in tropical regions. – Progress in physical Geography 21(3): 375-393.
17. Lu, D., Mausel, P., Brondizio, E., Moran, E. (2004): Change detection techniques. – International Journal of Remote Sensing 25(12): 2365-2401.
18. Mahmud, A., Achide, A. S. (2012): Analysis of Land Use/Land Cover Changes to Monitor Urban Sprawl in Keffi-Nigeria. – Environmental Research Journal 6(2): 129-134.
19. Messina, J. P., Walsh, S. J. (2001): 2.5 D Morphogenesis: modeling landuse and landcover dynamics in the Ecuadorian Amazon. – Plant Ecology 156(1): 75-88.
20. Muller, M. R., Middleton, J. (1994): A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. – Landscape Ecology 9(2): 151-157.
21. Overmars, K. P., De Koning, G. H. J., Veldkamp, A. (2003): Spatial autocorrelation in multi scale land use models. – Ecological Modelling 164(2): 257-270.
22. Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., Deadman, P. (2003): Multi agent systems for the simulation of land-use and land-cover change: a review. – Annals of the Association of American Geographers 93(2): 314-337.
23. Parsa, V. A., Yavari, A., Nejadi, A. (2016): Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran. – Modeling Earth Systems and Environment 2(4): 178.
24. Pijanowski, B. C., Brown, D. G., Shellito, B. A., Manik, G. A. (2002): Using neural networks and GIS to forecast land use changes: a land transformation model. – Computers, Environment and Urban Systems 26(6): 553-575.
25. Pontius, G. R., Malanson, J. (2005): Comparison of the structure and accuracy of two land change models. – International Journal of Geographical Information Science 19(2): 243-265.
26. Pontius Jr, R. G., Millones, M. (2011): Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. – International Journal of Remote Sensing 32(15): 4407-4429.
27. Rogan, J., Chen, D. (2004): Remote sensing technology for mapping and monitoring land cover and land-use change. – Progress in Planning 61(4): 301-325.
28. Sala, O. E., Chapin, F. S., Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber Sanwald, E. (2000): Global biodiversity scenarios for the year 2100. – Science 287(5459): 1770-1774.
29. Sklar, F. H., Costanza, R. (1990): 10. The Development of Dynamic Spatial Models for Landscape Ecology: A Review and Prognosis. – In: Turner, M. G., Gardner, R. H. (eds.) Quantitative Methods in Landscape Ecology: The Analysis and Interpretation of Landscape Heterogeneity. Springer, New York, pp. 239-288.
30. Sinha, P., Kumar, L. (2013): Markov land cover change modeling using pairs of time series satellite images. – Photogramm. Eng. Remote Sens. 79(11): 1037-1051.
31. Tan, K. C., San Lim, H., MatJafri, M. Z., Abdullah, K. (2010): Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. – Environmental Earth Sciences 60(7): 1509-1521.
32. Tan, K. C., Lim, H. S., Jafri, M. M. (2011). Detection of land use/land cover changes for Penang Island, Malaysia. – IEEE International Conference on Space Science and Communication (IconSpace), July 2011, pp. 152-155.
33. Veldkamp, A., Lambin, E. F. (2001): Predicting land-use change. – Agriculture, Ecosystem and Environment 85: 1-6.
34. Verburg, P. H., de Nijs, T. C., van Eck, J. R., Visser, H., de Jong, K. (2004): A method to analyse neighbourhood characteristics of land use patterns. – Computers, Environment and Urban Systems 28(6): 667-690.
35. Weng, Q. H. (2010): Remote Sensing and GIS integration. McGraw-Hill, New York. 424p. Weng, Q. (2002): Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. – Journal of Environmental Management 64(3): 273-284.
36. Wu, Q., Li, H. Q., Wang, R. S., Paulussen, J., He, Y., Wang, M., Wang, B. H., Wang, Z. (2006): Monitoring and predicting land use change in Beijing using remote sensing and GIS. – Landscape and Urban Planning 78(4): 322-333.
37. Wu, S., Mickley, L. J., Kaplan, J. O., Jacob, D. J. (2012): Impacts of changes in land use and land cover on atmospheric chemistry and air quality over the 21st century. – Atmospheric Chemistry and Physics 12(3): 1597-1609.