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Landscape analysis of urban growth patterns in Seremban, Malaysia, using spatio-temporal data


Citation

Aburas, Maher Milad and Abdullah, Sabrina Ho and Ramli, Mohammad Firuz and Ashaari, Zulfa Hanan (2016) Landscape analysis of urban growth patterns in Seremban, Malaysia, using spatio-temporal data. In: 8th IGRSM International Conference and Exhibition on Remote Sensing & GIS (IGRSM 2016), 13-14 Apr 2016, Kuala Lumpur, Malaysia. (pp. 1-7).

Abstract / Synopsis

Urban growth is one of the major issues that have played a significant role in destroying the ecosystem in recent years. Landscape analysis is an important technique widely used to evaluate urban growth patterns. In this study, four land-use maps from 1984, 1990, 2000, and 2010 have been used to analyze an urban landscape. The values of a built-up area were initially computed using a geographic information system environment based on the spatial gradient approach. Mathematical matrices were then used to determine the amount of change in urban patches in each direction. Results of the number of patches, landscape shape index, aggregation index, and total edges confirmed that the urban patches in Seremban, Malaysia, have become more dispersed from 2000 to 2010. The urban patches have also become more continuous, especially in the north-western part of Seremban as a result of the urban development in the Nilai District. These results indicate the necessity to create new policies in the city to protect the sustainability of the land use of Seremban.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Environmental Studies
DOI Number: https://doi.org/10.1088/1755-1315/37/1/012055
Keywords: Landscape analysis; Urban growth patterns; Seremban; Malaysia; Spatio-temporal data
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 19 Apr 2018 11:32
Last Modified: 19 Apr 2018 11:32
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1088/1755-1315/37/1/012055
URI: http://psasir.upm.edu.my/id/eprint/54689
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