Characterization of drivers of agricultural land use change

Authors

DOI:

https://doi.org/10.6093/1970-9870/8065

Keywords:

Agricultural land use, Principal Component Analysis, Spatial data

Abstract

Major factors driving agricultural land use in Malaysia were characterized with Principal Component Analysis (PCA). Discrete variables assumed to drive agricultural land use were converted into spatial data. Vector data subsequently obtained from these conversions were later rasterized before being disaggregated. ASCII data of each of the disaggregated was derived using ArcGIS 10.3.1. A MatLab program was thereafter used to convert the ASCII data into vector column where systematic sampling was performed after Moran I test to select the samples for PCA analysis in SPSS/IBM version 23. The result of the PCA analysis finally aggregated variables driving agricultural land use into: urbanization, availability, ageing and cross sectoral mobility of labour, geophysical, accessibility, and climatic factors. These factors explained about 88 % of the cause of agricultural land use in the study area. The proposed transition of Malaysia to a high income nation will no doubt put additional pressures on the identified drivers (factors) of the agricultural land use, therefore, it is expected that the policy makers put in place measures that will minimize environmental effects of these pressures in order to make the proposed transition sustainable.

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Author Biographies

Akeem Olawale Olaniyi, Department of Environmental Management, Kaduna State University, Nigeria

He is a lecturer at the Department of Environmental Management of Kaduna State University. He bagged his PhD in Environmental Analysis and Modelling at the Universiti Putra Malaysia in 2013. He has published several papers, attended conferences/workshops and has collaborated with other professionals in some global studies, reviews and publications.

Ahmad Makmom Abdullah, Department of Environmental Sciences, Universiti Putra Malaysia

He is a Professor of Ecophysiology and Air Pollution Modelling at the Department of Environmental Sciences, Faculty of Environmental Management, Universiti Putra Malaysia, Malaysia. He has to his credit publications of articles in frontline journals in his field. He has attended several conferences, partner with professionals in conducting studies (international and national) in ecophysiology and air pollution and has supervised several Bachelor, Masters and PhD students.

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Published

30-12-2021

How to Cite

Olaniyi, A. O., & Abdullah, A. M. (2021). Characterization of drivers of agricultural land use change. TeMA - Journal of Land Use, Mobility and Environment, 14(3), 411–432. https://doi.org/10.6093/1970-9870/8065

Issue

Vol. 14 No. 3 (2021): The city challenges and external agents. Methods, tools and best practices

Section

LUME (Land Use, Mobility and Environment)

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