Modeling of Spatio-temporal changes of Urban Sprawl in Jeju-island: Using CA (Cellular Automata) and ARD (Automatic Rule Detection)

doi:10.25202/JAKG.10.1.9

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Modeling of Spatio-temporal changes of Urban Sprawl in Jeju-island: Using CA (Cellular Automata) and ARD (Automatic Rule Detection) CA(Cellular Automata)와 ARD(Automatic Rule Detection)를 이용한 제주도 도시 스프롤의 시공간적 변화 예측 모델링: 정고은, 김영호

2021. pp. 139~152

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References

김동우･김장수･김만규, 2018, “남한지역 토지피복 변화 예측을 위한 상대선호도함수 모델 적용,” 한국지리학회지, 7(3), 463-478.
김신덕･정수연, 2014, “제주첨단과학기술단지 개발사업이 인근지역의 토지가격변화에 미친 영향에 관한 연구,” 지역연구, 30(4), 51–68.
김세형･김영호, 2017, “한국 말라리아 발생의 공간 분포 변화 및 인문･환경 요인 분석,” 한국지도학회지, 17(1), 71-85.
류나영･신정엽, 2020, “광역도시권의 스프롤 변화 양상: 광역도시권의 설정과 밀도 기반의 인구 및 고용 스프롤 측정을 중심으로,” 한국지리학회지, 9(2), 395-409.
신정엽, 2012, “개념과 프로세스를 중심으로 한 도시 내부구조 모델의 이론적 고찰,” 한국지리학회지, 1(2), 177-191.
신정엽･김진영, 2012, “도시 스프롤에 대한 논의 재조명과 공간 분석 방법론에 토대한 도시 스프롤 측정 연구: 수도권을 사례로,” 서울법학, 19(3), 317–354.
엄현태･우명제, 2015, “신시가지 개발을 동반한 도시스프롤이 중심도시 쇠퇴에 미치는 영향 지역차원의 도시재생정책에 대한 시사점,” 국토계획, 50(6), 103–114.
윤정미･이성호, 2006, “지역적 특성을 고려한 도시 성장 패턴에 관한 연구,” 한국지리정보학회지, 9(1), 116–126.
윤정미･이성호･박상철, 2004, “퍼지집합개념과 AHP의 유용성에 관한 연구 -도시성장모델링을 이용하여,” 도시연구보, 17, 11–19.
이성호, 2017, “제주특별자치도 성장관리방향에 관한 연구,” 도시행정학보, 30(3), 149-171.
임수진･김감영, 2016, “수도권 스프롤 양상의 시공간적 변화 : 공간구조 기반 접근,” 한국지역지리학회지, 22(3), 628-642.
임창민･김영호, 2016, “아이겐벡터 공간필터링 모형을 활용한 국내 결핵발생의 사회･환경적 결정 요인 분석,” 한국지도학회지, 16(3), 89-101.
전호진･김윤필･우명제, 2018, “도시쇠퇴와 스프롤의 유형 및 상관성에 관한 연구 전국 지역노동시장권(LLMAs)을 중심으로,” 국토계획, 53(2), 183-200.
황의정･우명제, 2016, “전국 도시권의 도시 스프롤 측정을 통한 유형 및 특성 분석,” 국토계획, 51(5), 21-42.
Couclelis, H., 1997, From cellular automata to urban models: new principles for model development and implementation, Environment and Planning B: Planning and Design, 24(2), 165-174.
EEA, 2006, Urban sprawl in Europe: The ignored challenge, European Environmental Agency Report 10/2006.
Engelen, G., Geertman, S., Smits, P., and Wessels, C., 1999, Dynamic GIS and Strategic Physical Planning Support: A Practical Application, in Stillwell, J., Geertman, S., and Openshaw, S., eds., Geographical Information and Planning: European Perspectives, Berlin, Heidelberg: Springer, 87-111.
Fawcett, T., 2006, An introduction to ROC analysis, Pattern Recognition Letters, 27(8), 861-874.
Hewitt, R., Pacheco, J.D., and Gomez, B.M., 2013, A cellular automata land use model for the R software environment (Description and user documentation).
Jat, M.K., Choudhary, M., and Saxena, A., 2017, Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe, Egyptian Journal of Remote Sensing and Space Science, 20(2), 223-241.
Jayasinghe, P., Raghavan, V., and Yonezawa, G., 2021, Exploration of expansion patterns and prediction of urban growth for Colombo City, Sri Lanka, Spatial Information Research, https://doi.org/10.1007/s41324- 020-00364-4.
Jenerette, G.D. and Wu, J., 2001, Analysis and simulation of land-use change in the central Arizona - Phoenix region, USA, Landscape Ecology, 16(7), 611-626.
Kocabas, V. and Dragicevic, S., 2006, Assessing cellular automata model behaviour using a sensitivity analysis approach, Computers, Environment and Urban Systems, 30(6), 921-953.
Lagarias, A., 2012, Urban sprawl simulation linking macro-scale processes to micro-dynamics through cellular automata, an application in Thessaloniki, Greece, Applied Geography, 34, 146-160.
Liao, J., Tang, L., Shao, G., Su, X., Chen, D., and Xu, T., 2016, Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations, Environmental Modelling and Software, 75, 163-175.
Liu, X., Ma, L., Li, X., Ai, B., Li, S., and He, Z., 2014, Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata, International Journal of Geographical Information Science, 28(1), 148-163.
Liu, X., Li, X., Chen, Y., Tan, Z., Li, S., Ai, B., 2010, A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data, Landscape Ecology, 25, 671-682.
Liu, Y., 2007, The impact of neighbourhood size on the accuracy of cellular automata-based urban modelling, Applied GIS, 3(3), 1-14.
Majid, M.R. and Yahya, H., 2010, Sprawling of a Malaysian City: What Type and What Solutions?, The First International Conference on Sustainable Urbanization (ICSU 2010).
Padmanaban, R., Bhowmik, A.K., Cabral, P., Zamyatin, A., Almegdadi, O., and Wang, S., 2017, Modelling urban sprawl using remotely sensed data: A case study of Chennai city, Tamilnadu, Entropy, 19, 163.
Roodposhti, M.S., Hewitt, R.J., and Bryan, B.A., 2020, Towards automatic calibration of neighbourhood influence in cellular automata land-use models, Computers, Environment and Urban Systems, 79, 101416.
Rosni, N.A., Noor, N.M., and Abdullah, A., 2017, Bibliometric analysis on quantifying urban sprawl in assessing a comprehensive meaning of sprawl: A review, Planning Malaysia, 15(1), 305-318.
Swets, J.A., 1988, Measuring the accuracy of diagnostic systems, Science, 240(4857), 1285-1293.
Terzi, F. and Kaya, H.S., 2011, Dynamic spatial analysis of urban sprawl through fractal geometry: The case of Istanbul, Environment and Planning B: Planning and Design, 38(1), 175-190.
Torrens, P.M., 2008, A Toolkit for Measuring Sprawl, Applied Spatial Analysis and Policy, 1, 5-36.
White, R. and Engelen, G., 1993, Cellular automata and fractal urban form: A cellular modelling approach to the evolution of urban land-use patterns, Environment and planning A, 25(8), 1175-1199.

Information

Publisher :The Association of Korean Geographers
Publisher(Ko) :한국지리학회
Journal Title :Journal of the Association of Korean Geographers
Journal Title(Ko) :한국지리학회지
Volume : 10
No :1
Pages :139~152
DOI :https://doi.org/10.25202/JAKG.10.1.9

[1] 김동우･김장수･김만규, 2018, “남한지역 토지피복 변화 예측을 위한 상대선호도함수 모델 적용,” 한국지리학회지, 7(3), 463-478.

[2] 김신덕･정수연, 2014, “제주첨단과학기술단지 개발사업이 인근지역의 토지가격변화에 미친 영향에 관한 연구,” 지역연구, 30(4), 51–68.

[3] 김세형･김영호, 2017, “한국 말라리아 발생의 공간 분포 변화 및 인문･환경 요인 분석,” 한국지도학회지, 17(1), 71-85.

[4] 류나영･신정엽, 2020, “광역도시권의 스프롤 변화 양상: 광역도시권의 설정과 밀도 기반의 인구 및 고용 스프롤 측정을 중심으로,” 한국지리학회지, 9(2), 395-409.

[5] 신정엽, 2012, “개념과 프로세스를 중심으로 한 도시 내부구조 모델의 이론적 고찰,” 한국지리학회지, 1(2), 177-191.

[6] 신정엽･김진영, 2012, “도시 스프롤에 대한 논의 재조명과 공간 분석 방법론에 토대한 도시 스프롤 측정 연구: 수도권을 사례로,” 서울법학, 19(3), 317–354.

[7] 엄현태･우명제, 2015, “신시가지 개발을 동반한 도시스프롤이 중심도시 쇠퇴에 미치는 영향 지역차원의 도시재생정책에 대한 시사점,” 국토계획, 50(6), 103–114.

[8] 윤정미･이성호, 2006, “지역적 특성을 고려한 도시 성장 패턴에 관한 연구,” 한국지리정보학회지, 9(1), 116–126.

[9] 윤정미･이성호･박상철, 2004, “퍼지집합개념과 AHP의 유용성에 관한 연구 -도시성장모델링을 이용하여,” 도시연구보, 17, 11–19.

[10] 이성호, 2017, “제주특별자치도 성장관리방향에 관한 연구,” 도시행정학보, 30(3), 149-171.

[11] 임수진･김감영, 2016, “수도권 스프롤 양상의 시공간적 변화 : 공간구조 기반 접근,” 한국지역지리학회지, 22(3), 628-642.

[12] 임창민･김영호, 2016, “아이겐벡터 공간필터링 모형을 활용한 국내 결핵발생의 사회･환경적 결정 요인 분석,” 한국지도학회지, 16(3), 89-101.

[13] 전호진･김윤필･우명제, 2018, “도시쇠퇴와 스프롤의 유형 및 상관성에 관한 연구 전국 지역노동시장권(LLMAs)을 중심으로,” 국토계획, 53(2), 183-200.

[14] 황의정･우명제, 2016, “전국 도시권의 도시 스프롤 측정을 통한 유형 및 특성 분석,” 국토계획, 51(5), 21-42.

[15] Couclelis, H., 1997, From cellular automata to urban models: new principles for model development and implementation, Environment and Planning B: Planning and Design, 24(2), 165-174.

[16] EEA, 2006, Urban sprawl in Europe: The ignored challenge, European Environmental Agency Report 10/2006.

[17] Engelen, G., Geertman, S., Smits, P., and Wessels, C., 1999, Dynamic GIS and Strategic Physical Planning Support: A Practical Application, in Stillwell, J., Geertman, S., and Openshaw, S., eds., Geographical Information and Planning: European Perspectives, Berlin, Heidelberg: Springer, 87-111.

[18] Fawcett, T., 2006, An introduction to ROC analysis, Pattern Recognition Letters, 27(8), 861-874.

[19] Hewitt, R., Pacheco, J.D., and Gomez, B.M., 2013, A cellular automata land use model for the R software environment (Description and user documentation).

[20] Jat, M.K., Choudhary, M., and Saxena, A., 2017, Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe, Egyptian Journal of Remote Sensing and Space Science, 20(2), 223-241.

[21] Jayasinghe, P., Raghavan, V., and Yonezawa, G., 2021, Exploration of expansion patterns and prediction of urban growth for Colombo City, Sri Lanka, Spatial Information Research, https://doi.org/10.1007/s41324- 020-00364-4.

[22] Jenerette, G.D. and Wu, J., 2001, Analysis and simulation of land-use change in the central Arizona - Phoenix region, USA, Landscape Ecology, 16(7), 611-626.

[23] Kocabas, V. and Dragicevic, S., 2006, Assessing cellular automata model behaviour using a sensitivity analysis approach, Computers, Environment and Urban Systems, 30(6), 921-953.

[24] Lagarias, A., 2012, Urban sprawl simulation linking macro-scale processes to micro-dynamics through cellular automata, an application in Thessaloniki, Greece, Applied Geography, 34, 146-160.

[25] Liao, J., Tang, L., Shao, G., Su, X., Chen, D., and Xu, T., 2016, Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations, Environmental Modelling and Software, 75, 163-175.

[26] Liu, X., Ma, L., Li, X., Ai, B., Li, S., and He, Z., 2014, Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata, International Journal of Geographical Information Science, 28(1), 148-163.

[27] Liu, X., Li, X., Chen, Y., Tan, Z., Li, S., Ai, B., 2010, A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data, Landscape Ecology, 25, 671-682.

[28] Liu, Y., 2007, The impact of neighbourhood size on the accuracy of cellular automata-based urban modelling, Applied GIS, 3(3), 1-14.

[29] Majid, M.R. and Yahya, H., 2010, Sprawling of a Malaysian City: What Type and What Solutions?, The First International Conference on Sustainable Urbanization (ICSU 2010).

[30] Padmanaban, R., Bhowmik, A.K., Cabral, P., Zamyatin, A., Almegdadi, O., and Wang, S., 2017, Modelling urban sprawl using remotely sensed data: A case study of Chennai city, Tamilnadu, Entropy, 19, 163.

[31] Roodposhti, M.S., Hewitt, R.J., and Bryan, B.A., 2020, Towards automatic calibration of neighbourhood influence in cellular automata land-use models, Computers, Environment and Urban Systems, 79, 101416.

[32] Rosni, N.A., Noor, N.M., and Abdullah, A., 2017, Bibliometric analysis on quantifying urban sprawl in assessing a comprehensive meaning of sprawl: A review, Planning Malaysia, 15(1), 305-318.

[33] Swets, J.A., 1988, Measuring the accuracy of diagnostic systems, Science, 240(4857), 1285-1293.

[34] Terzi, F. and Kaya, H.S., 2011, Dynamic spatial analysis of urban sprawl through fractal geometry: The case of Istanbul, Environment and Planning B: Planning and Design, 38(1), 175-190.

[35] Torrens, P.M., 2008, A Toolkit for Measuring Sprawl, Applied Spatial Analysis and Policy, 1, 5-36.

[36] White, R. and Engelen, G., 1993, Cellular automata and fractal urban form: A cellular modelling approach to the evolution of urban land-use patterns, Environment and planning A, 25(8), 1175-1199.

Journal of the Association of Korean Geographers ISSN:2287-4739(Print) 2733-8991(Online) 한국지리학회지

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