SPATIAL AUTOCORRELATION ANALYSIS OF HOUSING DISTRIBUTION IN JOHOR BAHRU
DOI:
https://doi.org/10.21837/pm.v19i17.1014Keywords:
Tobler’s First Law of Geography, housing distribution, spatial patterns, spatial autocorrelationAbstract
Geographic location naturally generates spatial patterns that are either clustered, dispersed, or random. Moreover, Tobler’s First Law of Geography is essentially a testable assumption in the concept where geographic location matters and one method for quantifying Tobler’s law of geography is through measures of spatial autocorrelation. Therefore, the purpose of this study is to identify the spatial patterns of housing distribution in Johor Bahru through the spatial autocorrelation method. The result of the global spatial autocorrelation analysis demonstrates a high degree of clustering within the housing distribution, as well as the identification of a clustered pattern with a highly positive Moran’s I value of 0.995207. Following that, the LISA cluster map successfully identified individual clusters of each housing unit with their neighbours through the red and blue colours displayed on the map, as well as revealing home buyers’ preferences for a property in each location.Downloads
References
Aghajani, M. A., Dezfoulian, R. S., Arjroody, A. R. & Rezaei, M. (2017). Applying GIS to identify the spatial and temporal patterns of road accidents using spatial statistics (case study: Ilam Province, Iran). Transportation Research Procedia, 25, 2126-2138.
Aluko, O. (2011). The effects of location and neighbourhood attributes on housing values in metropolitan Lagos. Ethiopian Journal of Environmental Studies and Management, 4(2), 69-82.
Anselin, L. (2017). Global Spatial Autocorrelation. The Center for Spatial Data Science: The University of Chicago, 1-69.
Anselin, L., Syabri, I. & Kho, Y. (2006). GeoDa: An introduction to spatial data analysis. Geographical Analysis, 38(1), 5-22.
Ayadi, M. & Amara, M. (2009). Spatial patterns and geographic determinants of welfare and poverty in Tunisia. Economic Research Forum Working Paper, 478, 1-23. Bandyopadhyay,
M., Singh, M. P. & Singh, V. (2012). Spatial pattern analysis for finding weighted candidate set for p-median problem in locating emergency facilities. International Journal of Advanced Research in Computer Science and Software Engineering, 2(5), 69-74.
Bivand, R. (1998). A review of spatial statistical techniques for location studies. CEPR Symposium on New Issues in Trade and Location (2277): Lund,Sweden, 1-21.
Boots, B. (2003). Developing local measures of spatial association for categorical data. Journal of Geographical Systems, 5(2), 139-160.
Cecchini, M., Zambon, I. & Salvati, L. (2019). Housing and the city: A spatial analysis of residential building activity and the socio-demographic background in a Mediterranean City, 1990-2017. Sustainability, 11(2), 1-23.
Chung, Y. S., Seo, D. & Kim, J. (2018). Price determinants and GIS analysis of the housing market in Vietnam: the cases of Ho Chi Minh City and Hanoi. Sustainability, 10(4720), 1-18.
Department of Statistics Malaysia. (2017). Report of Household Income and Basic Amenities Survey 2016. Putrajaya: Department of Statistics Malaysia.
Er, A.C., Rosli, M. H., Asmahani, A., Mohamad Naim, M. R., Harsuzilawati M. (2010). Spatial mapping of dengue incidence: A case study in Hulu Langat district, Selangor, Malaysia. International Journal of Geological and Environmental Engineering, 4(7), 251-255.
Gasper, D. T. (2013, February 20). Pasir Gudang a thriving township. The Star. Retrieved from https://www.thestar.com.my/news/community/2013/02/20/pasir-gudang-a-thriving-township
Griffith, D. A. & Chun, Y. (2018). GIS and spatial statistics/econometrics: An overview. Reference Module in Earth Systems and Environmental Sciences, 75, 25-37.
Kaur, S. (2019, April 5). EDTP & mdash; A game changer for Johor. New Straits Times. Retrieved from https://www.nst.com.my/property/2019/04/476538/edtp-%E2%80%94-game-changer-johor
Kemunto, M. G. & Nyangena, W. (2017). Residential housing demand in Nairobi; A hedonic pricing approach. American Journal of Economics, 1(2), 64 -85.
Klippel, A., Hardisty, F. & Li, R. (2011). Interpreting spatial patterns: An inquiry into formal and cognitive aspects of Tobler’s First Law of Geography. Annals of the Association of American Geographers, 101(5), 1011-1031.
Laohasiriwong, W., Puttanapong, N. & Singsalasang, A. (2018). Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis. Geospatial Health, 13(1), 20-27.
Lim, P. I. & Chang, Y. F. (2018). Preference of residential typologies of urban Malaysians. Journal of the Malaysian Institute of Planners, 16(3), 171-181.
Ma, R., Gu, C., Pu, Y. & Ma, X. (2008). Mining the urban sprawl pattern: A case study on Sunan, China. Sensors, 8(10), 6371-6395.
Miller, H. J. (2004). Tobler’s first law and spatial analysis. Annals of the Association of American Geographers, 94(2), 284-289.
Mohamad, M. H., Nawawi, A. H. & Sipan, I. (2016). Review of building, locational, neighbourhood qualities affecting house prices in Malaysia. Procedia - Social and Behavioral Sciences, 234, 452 - 460.
Musakwa, W. & Niekerk, A. V. (2014). Monitoring urban sprawl and sustainable urban development using the Moran Index: A case study of Stellenbosch, South Africa.International Journal of Applied Geospatial Research, 5(3), 1-20.
Nasongkhla, S. & Sintusingha, S. (2013). Social production of space in Johor Bahru. Urban Studies, 50(9), 1836-1853.
Nor, M. I., Masron, T. A. & Gedi, S. Y. (2019). Modeling of residential property rents in Somalia using two-stage modelling: Hedonic regression and artificial neural network. International Journal of Housing Markets and Analysis, 13(2), 331-356.
Nunung, N. & Pasaribu, U. S. (2006). Identifying spatial pattern using spatial autocorrelation. International Conference on Mathematics and Natural Sciences (ICMNS). Bandung-Indonesia. 760-764.
Scott, L. M. (2015). Spatial pattern, analysis of. International Encyclopedia of the Social & Behavioral Sciences, 23(2), 178-184.
Tam, V. W. Y., Fung, I. W. H., Wang, J & Ma, M. (2019). Effects of locations, structures and neighbourhoods to housing price: An empirical study in Shanghai, China. International Journal of Construction Management, 1-20.
Taubenbock, H., Klotz, M., Wurm, M., Schmieder, J., Wagner, B., Wooster, M., Esch, T. & Dech, S. (2013). Delineation of central business districts in mega city regions using remotely sensed data. Remote Sensing of Environment, 136, 386-401.
Thanaraju, P., Khan, P. A. M., Juhari, N. H., Sivanathan, S. & Md Khair, N. (2019). Factors affecting the housing preferences of home buyers in Kuala Lumpur. Journal of the Malaysian Institute of Planners, 17(1), 138-148.
Tsai, P. J., Lin, M. L., Chu, C. M. & Perng, C. H. (2009). Spatial autocorrelation analysis of health care hotspots in Taiwan in 2006. BMC Public Health, 9(464), 1-13.
Wang, W. C., Chang, Y. J. & Wang, H. C. (2019). An application of the spatial autocorrelation method on the change of real estate prices in Taitung City. International Journal of Geo-Information, 8(6), 1-20.
Waters, N. (2018). Tobler’s First Law of Geography. In The International Encyclopedia of Geography. Hoboken, NJ, USA: John Wiley & Sons, Ltd.
Watkins, C. A. (2001). The definition and identification of housing submarkets. Environment and Planning A, 33(12), 2235-2253.
Zhang, C., Luo, L., Xu, W. & Ledwith, V. (2008). Use of local Morans I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland. Science of the Total Environment, 398(1-3), 212-221.
Zhang, D., Mao, X. & Meng, L. (2010). A method using ESDA to analyze the spatial distribution patterns of cultural resource. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(2), 273278.
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