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

Authors

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

DOI:

https://doi.org/10.24203/ajas.v7i5.5975

Keywords:

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

Abstract

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.

References

Bhatta, Causes and Consequences of Urban Growth and Sprawl, in Analysis of Urban Growth and Sprawl from Remote Sensing Data. 2010, Springer. p. 17-36.

Aithal, B.H. and D.D. Sanna, Insights to urban dynamics through landscape spatial pattern analysis. International Journal of Applied Earth Observation and Geoinformation, 2012. 18: p. 329-343.

Habibi, S. and N. Asadi, Causes, results and methods of controlling urban sprawl. Procedia Engineering, 2011. 21: p. 133-141.

Bhatta, S. Saraswati, and D. Bandyopadhyay, Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data. Applied Geography, 2010. 30(1): p. 96-111.

Shahraki, S.Z., et al., Urban sprawl pattern and land-use change detection in Yazd, Iran. Habitat International, 2011. 35(4): p. 521-528.

Johnson, B.A. and K. Iizuka, Integrating OpenStreetMap crowdsourced data and Landsat time-series imagery for rapid land use/land cover (LULC) mapping: Case study of the Laguna de Bay area of the Philippines. Applied Geography, 2016. 67: p. 140-149.

Jiang, F., et al., Measuring urban sprawl in Beijing with geo-spatial indices. Journal of Geographical Sciences, 2007. 17(4): p. 469-478.

Punia, M. and L. Singh, Entropy approach for assessment of urban growth: a case study of Jaipur, India. Journal of the Indian Society of Remote Sensing, 2012. 40(2): p. 231-244.

Ren, P., et al., Spatial Expansion and Sprawl Quantitative Analysis of Mountain City Built-Up Area, in Geo-Informatics in Resource Management and Sustainable Ecosystem. 2013, Springer. p. 166-176.

Aithal, B.H. and T. Ramachandra, Visualization of Urban Growth Pattern in Chennai Using Geoinformatics and Spatial Metrics. Journal of the Indian Society of Remote Sensing, 2016: p. 1-17.

Páez, A. and D.M. Scott, Spatial statistics for urban analysis: a review of techniques with examples. GeoJournal, 2005. 61(1): p. 53-67.

Ramachandra, T., H. Bharath, and M. Sowmyashree, Analysis Of Spatial Patterns Of Urbanisation Using Geoinformatics And Spatial Metrics. Theoretical and Empirical Researches in Urban Management, 2013. 8(4): p. 5-24.

Suribabu, C., J. Bhaskar, and T. Neelakantan, Land use/cover change detection of Tiruchirapalli City, India, using integrated remote sensing and GIS tools. Journal of the Indian Society of Remote Sensing, 2012. 40(4): p. 699-708.

DOSM, Statistics Yearbook. Department of Statistics Malaysia, 2011: p. 367.

Anderson, J.R., A land use and land cover classification system for use with remote sensor data. Vol. 964. 1976: US Government Printing Office.

Labs, C., The Land Change Modeler for Ecological Sustainability. 2009: Clark University.

DOSM, States/District Data Bank. Department of Statistics Malaysia, 1994: p. 249.

DOSM, Preliminary Count Report. Department of Statistics Malaysia, 2000: p. 37.

Doygun, H., Effects of urban sprawl on agricultural land: a case study of KahramanmaraÅŸ, Turkey. Environmental monitoring and assessment, 2009. 158(1-4): p. 471-478.

Downloads

Published

2019-10-18

How to Cite

Assessment of Urban Growth Patterns using Spatio-temporal Data and Analysis. (2019). Asian Journal of Applied Sciences, 7(5). https://doi.org/10.24203/ajas.v7i5.5975

Similar Articles

1-10 of 171

You may also start an advanced similarity search for this article.