Assessment of Urban Growth Patterns using Spatio-temporal Data and Analysis


  • Said Masoud Bakhit Statistical Centre for the Cooperation Council for the Arab Countries of the Gulf GCC Statistical Center
  • Sbai Abdelkader



Urban growth, assessment, spatio-temporal, GIS, remote sensing


Modeling urban growth trends has become one of the critical issues in the last decades. This study aims to evaluate spatio-temporal urban growth trends using spatial modeling. For this purpose, four land-use maps were used to visualize historical urban growth trends in Seremban, Malaysia. Land Change Modeller (LCM) was used to evaluate the spatial trend of Land-use and land-cover (LULC) in Seremban. The results of the study confirm that urban areas in Seremban hugely increased from 1984 to 2010. The main reasons to increase urban areas are that economic and population growth in Malaysia in general and Seremban in particular. This study confirms that the LCM model is one of the effective spatial techniques that should be taken into account in urban planning studies.


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How to Cite

Bakhit, S. M., & Abdelkader, S. (2019). Assessment of Urban Growth Patterns using Spatio-temporal Data and Analysis. Asian Journal of Applied Sciences, 7(5).