Integrasi Analisis Spasial dan Statistik untuk Identifikasi Pola dan Faktor Determinan Perkembangan Kota Yogyakarta.

Bowo Susilo(1*), Mirza Rizal Afani(2), Safira Ihdanisa Hidayah(3)

(1) Departemen Sains Informasi Geografi, Fakultas Geografi, Universitas Gadjah Mada, Yogyakarta
(2) Departemen Sains Informasi Geografi, Fakultas Geografi, Universitas Gadjah Mada, Yogyakarta
(3) Departemen Sains Informasi Geografi, Fakultas Geografi, Universitas Gadjah Mada, Yogyakarta
(*) Corresponding Author


Abstrak Analisis spasial  adalah metode analisis yang mempunyai ciri spesifik karenanya banyak digunakan dalam berbagai bidang kajian. Perkembangan kota adalah salah satunya. Penelitian ini bertujuan untuk mengidentifikasi pola perkembangan kota dan faktor determinannya menggunakan integrasi analisis spasial dan statistik. Area di dalam jalan lingkar Yogyakarta dipilih sebagai daerah penelitian. Peta penggunaan lahan tahun 1993 dan 2014 digunakan sebagai data utama. Kombinasi analisis spasial dan statistik digunakan untuk mengidentifikasi faktor determinan perkembangan kota. Pertambahan lahan terbangun digunakan sebagai indikator perkembangan kota. Hasil penelitian menunjukkan, selama periode kajian, lahan terbangun bertambah kurang lebih 766,35 hektar. Secara umum pola perkembangan kota adalah merata namun ada kecenderung lebih intensif di bagian Timur Laut daerah penelitian. Hasil analisis terhadap tujuh variabel yang diduga berhubungan dengan perkembang kota, menunjukkan hanya 2 variabel yang mempunyai signifikan dan dapat disebut sebagai determinan perkembangan kota. Variabel tersebut adalah jarak terhadap jalan lingkar Yogyakarta (ring road) dan jarak terhadap jalan lokal. 

Abstract : Spatial analysis is often termed as special analysis therefore widely used in various studies. The study of urban growth is one among them. Identifying the pattern of urban growth and its determinant factors was the objective of this research. The study was located in the inner area of the ring road of Yogyakarta. Multitemporal land use data i.e. 1993 and 2014 were used as main data in this study. Spatial analysis was utilized to identify the distribution as well as the pattern of urban growth. A combination of spatial and statistical analysis was used to identify the determinant factor of urban growth. This study shows that during 199 and 2014, about 766,4 hectares of non-built-up land in the study area had been converted into built-up land. The pattern of urban growth was dispersed in general but the direction tends to the northeast of the study area. Transportation network, particularly the ring road and local roads were considered as the main determinants of urban growth.     


Analisis Spasial; Statistik; Perkembangan Kota; Faktor Determinan

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Aguayo, M.I., Wiegand T., Azocar, G.D., Wiegand, K. and Vega, C.E, 2007, Revealing the Driving Forces of Mid-Cities Urban Growth Patterns Using Spatial Modeling: a Case Study of Los Ángeles, Chile. Ecology and Society, 12 (1):13

Bailey, T.C., 1994, A Review Of Statistical Spatial Analysis In Geographical Information Systems. In Fotheringham, S., and Rogerson, P. (Eds), 1994, Spatial Analysis and GIS, Taylor & Francis, London

Braimoh, A.K., and Onishi ,T., 2007, Spatial Determinants of Urban Land Use Change in Lagos, Nigeria. Land Use Policy , 24, 502-515.

Gibson, C.C., Ostrom, E., and Ahn, T.K., 2000, The concept of scale and the human dimensions of global change: a survey, Ecological Economics, 32, 217-239.

Haining, Robert, 2004, Spatial Data Analysis: Theory and Practice. Cambridge University press

Kemp, Karen K., (Ed), 2008, Encyclopedia of Geographic Information Science. SAGE Publications Inch, California.

Longley, P.A., Goodchild, M.F., Maguire, D.J. and Rhind, D.W., 2005, Geographic Information System and Science 2nd Edition. John Wiley & Sons Ltd, West Sussex PO19 8SQ, England

Li, C., Li, J., and Wu, J., 2018, What drives urban growth in China? A multi-scale comparative analysis. Applied Geography, 98, 43-51

Puertas, O.L., Henríquez, C., and Meza, F.J., 2014, Assessing Spatial Dynamics of Urban Growth Using an Integrated Land Use Model. Application in Santiago Metropolitan Area, 2010–2045. Land Use Policy, 38, 415-425.

Susilo, Bowo, 2008, Model SIG-Regresi Logistik Biner untuk Prediksi Perubahan Penggunaan Lahan. Tesis. ITB, Bandung

Tomlin, C.D.,2012, Geographic Information Systems And Cartographic Modeling. Esri Press, Redlands California

Yi, K., Zeng, Y and Wu, B., 2016, Mapping And Evaluation The Process, Pattern And Potential Of Urban Growth in China. Applied Geography, 71, 44-55.

Zhang, Z., Su, S., Xiao, R., Jiang, D., and Wu, J., 2013, Identifying Determinants Of Urban Growth From A Multi-Scale Perspective: A Case Study Of The Urban Agglomeration Around Hangzhou Bay, China. Applied Geography, 45, 193-202.

Zhao, C., Jensen, J., and Zhan, B., 2017, A comparison of urban growth and their influencing factors of two border cities: Laredo in the US and Nuevo Laredo in Mexico. Applied Geography, 79, 223-234


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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 164/E/KPT/2021

Volume 35 No 2 the Year 2021 for Volume 40 No 1 the Year 2025

ISSN  0215-1790 (print) ISSN 2540-945X  (online)


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