UPM Institutional Repository

A GIS-based model to analyze the spatial and temporal development of oil palm land use in Kuala Langat district, Malaysia


Nourqolipour, Ramin and Mohamed Shariff, Abdul Rashid and Balasundram, Siva Kumar and Ahmad, Noordin and Sood, Alias M. and Buyong, Taher and Amiri, Fazel (2015) A GIS-based model to analyze the spatial and temporal development of oil palm land use in Kuala Langat district, Malaysia. Environmental Earth Sciences, 73 (4). pp. 1687-1700. ISSN 1866-6280; ESSN: 1866-6299


In Malaysia, areas under oil palm plantations have increased dramatically since the early twentieth century and have resulted in multiple conversions of land change. This paper presents a spatial and temporal model for simulation of oil palm expansion in the Kuala Langat district, Malaysia. The model is an integration of cellular automata (CA), multi-criteria evaluation (MCE), and Markov chain (MC) analysis while MCE provides transition rules of CA iterations and MC analysis assigns a transition probability to each single pixel at the time steps. Evaluation criteria consist of constraints and nine suitability factors indicating environmental and socio-economic issues of oil palm development. In the first simulation, changes of six land-cover classes were projected to the year 2008 based on transitions between 1997 and 2002. Two measures of quantity disagreement and allocation disagreement were adopted to validate model outcome. The simulation of land-cover change of the year 2020 was done based on the transition observed between 1997 and 2002 regarding the satisfactory agreement of the projection and the reference data at the first simulation. The results, based on five landscape metrics, indicated continuous spatial patterns of oil palm plantations but more fragmented spatial patterns of other land classes by the year 2020.

Download File

PDF (Abstract)

Download (6kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Faculty of Engineering
DOI Number: https://doi.org/10.1007/s12665-014-3521-1
Publisher: Springer Verlag
Keywords: GIS; Land change modeling; Cellular automata (CA); Markov chain; Multi-criteria evaluation (MCE); Quantity disagreement and allocation disagreement
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 28 Jun 2016 08:32
Last Modified: 28 Jun 2016 08:32
Altmetrics: httphttp://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s12665-014-3521-1
URI: http://psasir.upm.edu.my/id/eprint/43499
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item