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Human activities often disturb natural systems and accelerate climate crisis, which in turn affects humanity in various ways. A Coupled Human and Natural Systems (CHANS) seeks to capture these cyclical interactions by considering the human system and the natural system as an integrated system. This paper introduces Land Change Science (LCS) that pursues sustainability with the lens of CHANS framework. It explores origins and key concepts of LCS, mainly focusing on its core methodology, i.e., Land-Use and Land-Cover Change (LUCC) modeling. LUCC models are further classified into inductive, deductive, and integrated approaches: their theoretical backgrounds, structures, and applications are compared. We aim to emphasize the role of LCS in responding to global environmental change and climate crisis, as well as in establishing sustainable land management policies. We also hope that LCS can function as an academic common ground for human and physical geographies to collaborate and work in tandem.
인간 활동은 자연 시스템을 근본적으로 변화시키며, 이같은 변화는 기후위기를 심화시키는 등 다시 인간에게 다양한 방식으로 되돌아온다. ‘인간-자연 공조시스템(Coupled Human and Natural Systems, CHANS)’ 관점은 이러한 상호작용과 순환관계를 체계화하여, 인간과 자연을 하나의 통합된 유기적인 시스템으로 이해하려는 시도이다. 본 연구의 목적은 CHANS 관점에 기반을 두고 지속가능성을 지향하는 지리학 세부 분야인 ‘토지변화과학(Land Change Science, LCS)’을 소개하는 것이다. 지리학사적 맥락에서 LCS의 등장 배경과 개념을 살펴보고, LCS 핵심 방법론인 토지이용 및 토지피복 변화(Land-Use and Land-Cover Change, LUCC) 모델링 기법을 중심으로 주요 방법론과 사례 연구를 고찰한다. 더 나아가 LUCC 모델을 귀납적, 연역적, 통합적 접근방법으로 구분하고, 각각의 이론적 기반과 구성 원리, 적용 방식 등을 비교·분석했다. 이러한 다면적 고찰을 통해 본 연구는 전지구적 환경변화와 기후위기 대응, 지속가능한 토지이용 및 관리 정책 수립 등과 같이 시급한 사회문제 해결을 위한 LCS의 역할을 강조함과 동시에 인문지리학과 자연지리학이 연구 단위에서 융합될 수 있는 학문적 접점과 토대를 제공한다.
- 강영옥·박수홍, 2000, “서울대도시지역 도시성장 예측에 관한 연구,” 대한지리학회지, 35(4), 651-639.
- 강전영·신혜섭·최문기, 2024, “공간 시뮬레이션 모델(Geosimulation Model)과 활용 분야-질병 및 보건, 재해 대피, 도시 교통,” 대한지리학회지, 59(3), 417-430. http://dx.doi.org/10.22776/kgs.2024.59.3.41710.22776/kgs.2024.59.3.417
- 곽두안·박소희, 2021, “로지스틱 회귀모형을 이용한 우리나라 산지면적의 공간변화 예측에 관한 연구,” 한국지리정보학회지, 24(4), 99-112. http://dx.doi.org/10.11108/kagis.2021.24.4.09910.11108/kagis.2021.24.4.099
- 권상철·고은경, 2020, “지속가능발전목표 (SDGs) 와 지방정부: 공적개발원조(ODA)의 발전 방안과 제주도 사례,” 한국지리학회지, 9(3), 587-608. http://dx.doi.org/10.25202/JAKG.9.3.910.25202/JAKG.9.3.9
- 김성준·이용준, 2007, “면적규모 및 공간해상도가 CA-Markov 기법에 의한 미래 토지이용 예측결과에 미치는 영향,” 한국지리정보학회지, 10(2), 57-69.
- 김오석, 2013, “토지 이용 변화 예측 모형의 정확도 검정을 위한 통계량 연구,” 한국경제지리학회지, 16(3), 458-471.10.23841/egsk.2013.16.3.458
- 김오석, 2014, “시계열 원격탐사 기법을 활용한 도시 식별 연구,” 한국지도학회지, 14(2), 119-126.
- 김오석·윤여창, 2014, “북한의 탄소저감과 산림보존을 위한 사업대상지 선정방법 연구,” 대한지리학회지, 49(2), 264-274.
- 김오석, 2015, “지리가중회귀모델을 이용한 천연 라텍스 산출량 요인분석: 중국 운남성 시솽반나를 중심으로,” 한국지도학회지, 15(2), 67-77. http://dx.doi.org/10.16879/jkca.2015.15.2.06710.16879/jkca.2015.15.2.067
- 김오석·안소은·윤정호·빈슬지·김기환, 2015, 「기후변화 적응정책 지원을 위한 토지이용통합모델 개발(I)」, 세종: 한국환경정책평가연구원.
- 김오석·윤정호, 2015, “현 상태 유지 시나리오를 이용한 토지피복 변화 예측,” 한국도시지리학회지, 18(3), 121-135.
- 김오석·한기주, 2015, “인도네시아 깜빠르 지역의 탄소저감을 위한 시나리오별 기준선 설정 연구,” 한국지도학회지, 15(1), 59-68. http://dx.doi.org/10.16879/jkca.2015.15.1.05910.16879/jkca.2015.15.1.059
- 김오석·안소은·윤정호·김기환·김걸, 2016, 「기후변화 적응정책 지원을 위한 토지이용통합모델 개발(Ⅱ)」, 세종: 한국환경정책평가연구원.
- 김일권·권혁수, 2018, “객체기반 셀룰러오토마타 모형을 이용한 하남시 토지이용변화 모의,” 한국지리정보학회지, 21(4), 202-217. https://doi.org/10.11108/kagis.2018.21.4.20210.11108/kagis.2018.21.4.202
- 김지수·김오석, 2019, “저출산·고령화를 고려한 서울시 구별 수해노출인구 전망,” 한국도시지리학회지, 22(2), 159-171. http://dx.doi.org/10.21189/JKUGS.22.2.1210.21189/JKUGS.22.2.12
- 류지철·안기홍·한미덕·황하선·최재완·김용석·임경재, 2014, “오염총량관리제의 시공간적 미래 토지이용 변화분석을 위한 CLUE-S 모델의 적용 및 평가,” 한국물환경학회지, 30(4), 418-428. https://doi.org/10.15681/kswe.2014.30.4.41810.15681/KSWE.2014.30.4.418
- 류형원·장동호, 2018, “다중시기 위성영상을 이용한 제주도 중산간지역의 토지피복 변화 탐지,” 경관과 지리, 28(3), 89-100. https://doi.org/10.35149/jakpg.2018.28.3.00710.35149/jakpg.2018.28.3.007
- 박샘·최광용, 2016, “위성영상에 탐지된 1980 년대 이후 수도권 지역의 도시 팽창,” 한국지리학회지, 5(3), 331-343.10.25202/JAKG.5.3.9
- 박현수·장동호, 2020, “시계열 토지피복 변화 탐지를 통한 대전광역시의 시가화지역 변화 패턴 분석: 다중시기 위성영상을 활용하여,” 한국지리학회지, 9(1), 177-190. http://dx.doi.org/10.25202/JAKG.9.1.1210.25202/JAKG.9.1.12
- 서현진·전병운, 2017, “CA-Markov 모형을 이용한 대구시 녹지의 공간적 변화 모델링,” 대한지리학회지, 52(1), 123-141.
- 유근배, 2010, “녹색성장과 지리학,” 대한지리학회지, 45(1), 11-25.10.1145/2088456.1863528
- 이성주·류지은·전성우, 2020, “로지스틱 회귀모형을 이용한 환경정책 효과 분석: 울산광역시 녹지변화 분석을 중심으로,” 한국환경복원기술학회지, 23(4), 13-30. https://doi.org/10.13087/kosert.2020.23.4.1310.13087/kosert.2020.23.4.13
- 이수진·원명수·장근창·이병두·변상우·김광진·이양원, 2016, “MODIS 위성자료를 이용한 한반도 산불발생 GIS 데이터베이스 구축,” 한국지도학회지, 16(3), 129-137. https://doi.org/10.16879/jkca.2016.16.3.12910.16879/jkca.2016.16.3.129
- 이용관·조영현·김성준, 2016, “도시성장 시나리오와 CLUE-s 모형을 이용한 우리나라의 토지이용 변화 예측,” 한국지리정보학회지, 19(3), 75-88. http://dx.doi.org/10.11108/kagis.2016.19.3.07510.11108/kagis.2016.19.3.075
- 임연엽·박종철·김오석, 2023, “2050년대와 2090년대 기후변화 시나리오에 따른 한국의 고온에 의한 고령자 사망 위험 전망,” 경관과 지리, 33(3), 51-64. https://doi.org/10.35149/jakpg.2023.33.3.00410.35149/jakpg.2023.33.3.004
- 정고은·김영호, 2021, “CA (Cellular Automata) 와 ARD (Automatic Rule Detection) 를 이용한 제주도 도시 스프롤의 시공간적 변화 예측 모델링,” 한국지리학회지, 10(1), 139-152. http://dx.doi.org/10.25202/JAKG.10.1.910.25202/JAKG.10.1.9
- 조대헌, 2008, “개발밀도를 고려한 셀룰러 오토마타 기반의 도시 토지이용 변화 모델링,” 대한지리학회지, 43(1), 117-133.
- 조원희·김인유·고동욱, 2023, “북한 산림복원 전략에 따른 탄소저장량 잠재성 평가,” 환경생물, 41(3), 204-214. https://doi.org/10.11626/kjeb.2023.41.3.20410.11626/kjeb.2023.41.3.204
- 최근호·김오석, 2024, “대규모 택지 개발이 토지피복 변화에 미치는 영향 분석-Land Change Modeler를 활용한 별내신도시와 다산신도시 사례 연구, 한국도시지리학회지,” 27(3), 45-59. http://dx.doi.org/10.21189/JKUGS.27.3.410.21189/JKUGS.27.3.4
- 허동숙·안유순·박수진, 2016, “토지이용 및 토지피복 변화 모델링 (LUCC Modeling) 에서의 행위자 의사결정 체계 구축 방안-가리왕산 일대를 중심으로,” 국토지리학회지, 50(1), 63-80.
- 현기순, 2022, “지속가능성에 대한 지리학의 연구 동향 분석 - 토픽 모델링과 키워드 네트워크 분석을 중심으로,” 대한지리학회지, 57(1), 1-17. https://doi.org/10.22776/kgs.2021.57.1.110.22776/kgs.2021.57.1.1
- 홍금수, 2024, “칼 사우어(Carl O. Sauer)의 문화·역사지리학에 투영된 환경관,” 문화역사지리, 36(2), 1-32. http://dx.doi.org/10.29349/JCHG.2024.36.2.110.29349/JCHG.2024.36.2.1
- Aburas, M.M., Ahamad, M.S., and Omar, N.Q., 2019, Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review,
Environmental Monitoring and Assessment , 191(4), 205. https://doi.org/10.1007/s10661-019-7330-610.1007/s10661-019-7330-6 - Acuto, M., Parnell, S., and Seto, K.C., 2018, Building a global urban science,
Nature Sustainability , 1(1), 2-4. https://doi.org/10.1038/s41893-017-0013-910.1038/s41893-017-0013-9 - Agarwal, C., Green, G.M., Grove, J.M., Evans, T.P., and Schweik, C.M., 2001,
A reivew and assessment of land-use change models: Dynamics of space, time and human choice , Bloomington, IN: Center for the study of Institutions Population, and Environmental Change.10.2737/NE-GTR-297 - Ahn, S., 2005, An econometric analysis on the costs of carbon sequestration in Korea,
Korea Environment Institute , 1-71. - Ahn, S., 2008, How feasible is carbon sequestration in Korea? A study on the costs of sequestering carbon in forest,
Environmental and Resource Economics , 41(1), 89-109. https://doi.org/10.1007/s10640-007-9182-810.1007/s10640-007-9182-8 - An, Y. and Park, S., 2023, Developing an Agent-Based Model to Mitigate Famine Risk in North Korea: Insights from the “Artificial North Korean Collective Farm” Model,
Land , 12(4), 735. https://doi.org/10.3390/land1204073510.3390/land12040735 - Andam, K.S., Ferraro, P.J., Pfaff, A., Sanchez-Azofeifa, G.A., and Robalino, J.A., 2008, Measuring the effectiveness of protected area networks in reducing deforestation,
Proceedings of the National Academy of Sciences , 105(42), 16089-16094. https://doi.org/10.1073/pnas.08004371010.1073/pnas.080043710518854414PMC2567237 - Bai, T., Wang, L., Yin, D., Sun, K., Chen, Y., Li, W., and Li, D., 2023, Deep learning for change detection in remote sensing: a review,
Geo-Spatial Information Science , 26(3), 262-288. https://doi.org/10.1080/10095020.2022.208563310.1080/10095020.2022.2085633 - Barlow, J., Lennox, G., Ferreira, J., Berenguer, E., Lees, A., Nally, R., Thomson, J., Ferraz, S., Louzada, J., Oliveira, V., Parry, L., Solar, R., Vieira, I., Aragaõ, L., Begotti, R., Braga, R., Cardoso, T., Oliveira Jr, R., Souza Jr, C., Moura, N., Nunes, S., Siqueira, J., Pardini, R., Silveira, J., Vaz-De-Mello, F., Veiga, R., Venturieri, A., and Gardner, T., 2016, Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation,
Nature , 535(7610), 144-147. https://doi.org/10.1038/nature1832610.1038/nature18326 - Briassoulis, H., 2000, Analysis of land use change: theoretical and modeling approaches,
The Web Book of Regional Science , Regional Research Institute, West Virginia University. - Brown, D.G. and Duh, J.D., 2004, Spatial simulation for translating from land use to land cover,
International Journal of Geographical Information Science , 18(1), 35-60. https://doi.org/10.1080/1365881031000162090610.1080/13658810310001620906 - Burnham, B.O., 1973,. Markov intertemporal land use simulation model,
Journal of Agricultural and Applied Economics , 5(1), 253-258. https://doi.org/10.1080/1365881031000162090610.1017/S0081305200011110 - Chaudhuri, G. and Clarke, K., 2013, The SLEUTH land use change model: A review,
Environmental Resources Research , 1(1), 88-105. - Chung, H., 2005, Making an Epistemological Distinction in Landscape Studies Based on Insider/Outsider Perspectives,
The Geographical Journal of Korea , 39(2), 171-180. - Clark, W.C., 2007, Sustainability science: A room of its own,
Proceedings of the National Academy of Sciences , 104(6), 1737-1738. https://doi.org/10.1073/pnas.061129110410.1073/pnas.061129110417284615PMC1794267 - Clarke, K.C., Hoppen, S., and Gaydos, L., 1997, A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area,
Environment and Planning B: Planning and Design , 24(2), 247-261. https://doi.org/10.1068/b24024710.1068/b240247 - Clarke, K.C. and Gaydos, L., 1998, Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore,
International Journal of Geographical Information Science , 12(7), 699-714. https://doi.org/10.1080/13658819824161710.1080/136588198241617 - Clarke, K.C., 2008, Mapping and modelling land use change: an application of the SLEUTH model in Pettit, C., Cartwright, W., Bishop, I., Lowell, K., Pullar, D. and Duncan, D. eds.,
Landscape analysis and visualisation: Spatial models for natural resource management and planning , Berlin and Heiderberg, Germany: Springer, 353-366. - FAO and UNEP, 1999,
The Future of Our Land: Facing the Challenge. Guidelines for Integrated Planning for Sustainable Management of Land Resources , Rome, Italy: FAO Lands and Water Development Division. - Fujita, M., 2012, Thünen and the new economic geography,
Regional Science and Urban Economics , 42(6), 907-912. https://doi.org/10.1016/j.regsciurbeco.2011.12.00210.1016/j.regsciurbeco.2011.12.002 - Geist, H.J. and Lambin, E.F., 2002, Proximate causes and underlying driving forces of tropical deforestation: Tropical forests are disappearing as the result of many pressures, both local and regional, acting in various combinations in different geographical locations,
BioScience , 52(2), 143-150. https://doi.org/10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;210.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 - Geoghegan, J., Villar, S.C., Klepeis, P., Mendoza, P.M., Ogneva-Himmelberger, Y., Chowdhury, R.R., Turner, B.L., and Vance, C., 2001, Modeling tropical deforestation in the southern Yucatan peninsular region: comparing survey and satellite data,
Agriculture, Ecosystems & Environment , 85(1-3), 25-46. https://doi.org/10.1016/S0167-8809(01)00201-810.1016/S0167-8809(01)00201-8 - Gibreel, T.M., Herrmann, S., Berkhoff, K., Nuppenau, E.A., and Rinn, A., 2014, Farm types as an interface between an agroeconomical model and CLUE-Naban land change model: Application for scenario modelling,
Ecological Indicators , 36, 766-778. https://doi.org/10.1016/j.ecolind.2013.09.00910.1016/j.ecolind.2013.09.009 - Goodchild, M.F., 1992, Geographical information science,
International Journal of Geographical Information Systems , 6(1), 31-45. https://doi.org/10.1080/0269379920890189310.1080/02693799208901893 - Hall, C.A., Tian, H., Qi, Y., Pontius, G., and Cornell, J., 1995, Modelling spatial and temporal patterns of tropical land use change,
Journal of Biogeography , 753-757. https://doi.org/10.2307/284597710.2307/2845977 - Hägerstrand, T., 1967, The computer and the geographer,
Transactions of the Institute of British Geographers , 1-19.10.2307/621369 - Heistermann, M., Muller, C., and Ronneberger, K., 2006, Land in sight?: Achievements, deficits and potentials of continental to global scale land-use modeling,
Agriculture, Ecosystems & Environment , 114(2-4), 141-158. https://doi.org/10.1016/j.agee.2005.11.01510.1016/j.agee.2005.11.015 - Herold, M., Goldstein, N.C., and Clarke, K.C., 2003, The spatiotemporal form of urban growth: measurement, analysis and modeling,
Remote Sensing of Environment , 86(3), 286-302. https://doi.org/10.1016/S0034-4257(03)00075-010.1016/S0034-4257(03)00075-0 - Houghton, R.A., House, J.I., Pongratz, J., van der Werf, G.R., Defries, R.S., Hansen, M.C., Le Quéré, C., and Ramankutty, N., 2012, Carbon emissions from land use and land-cover change,
Biogeosciences , 9(12), 5125-5142. https://doi.org/10.5194/bg-9-5125-201210.5194/bg-9-5125-2012 - Hwang, J., Choi, Y., Sung, H.C., Yoo, Y.J., Lim, N.O., Kim, Y., Shin, Y., Jeong, D., Sun, Z., and Jeon, S.W., 2022, Evaluation of the function of suppressing changes in land use and carbon storage in green belts,
Resources, Conservation and Recycling , 187, 106600. https://doi.org/10.1016/j.resconrec.2022.10660010.1016/j.resconrec.2022.106600 - Hyun, J., Choi, K., Lee, K., Lee, S., Kim, Y., and Kang, C., 2020, Climate Change and Anthropogenic Impact Around the Korean Coastal Ecosystems: Korean Long-term Marine Ecological Research (K-LTMER),
Estuaries and Coasts , 43(3), 441-448. https://doi.org/10.1007/s12237-020-00711-610.1007/s12237-020-00711-6 - IPCC, 2018, Framing and Context,
Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty , Cambridge, UK and New York, USA: Cambridge University Press, 49-92. - IPCC, 2021, Ocean, Cryosphere and Sea Level Change,
Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change , Cambridge, UK and New York, USA: Cambridge University Press, 1211-1362. - Irwin, E.G., 2010, New directions for urban economic models of land use change: incorporating spatial dynamics and heterogeneity,
Journal of Regional Science , 50(1), 65-91. https://doi.org/10.1111/j.1467-9787.2009.00655.x10.1111/j.1467-9787.2009.00655.x - Kates, R.W., Clark, W.C., Corell, R., Hall, J.M., Jaeger, C.C., Lowe, I., McCarthy, J.J., Schellnhuber, H.J., Bolin, B., Dickson, N.M., Faucheux, S., Gallopin, G.C., Grubler, A., Huntley, B., Jager, J., Jodha, N.S., Kasperson, R.E., Mabogunje, A., Matson, P., Mooney, H., Moore, B., O’Riordan, T., and Svedin, U., 2001, Sustainability science, Science, 292(5517), 641-642. https://www.science.org/doi/10.1126/science.105938610.1126/science.1059386
- Kim, D., Lim, C.H., Song, C., Lee, W.K., Piao, D., Heo, S., and Jeon, S., 2016, Estimation of future carbon budget with climate change and reforestation scenario in North Korea,
Advances in Space Research , 58(6), 1002-1016. https://doi.org/10.1016/j.asr.2016.05.04910.1016/j.asr.2016.05.049 - Kim, O.S., 2010, An assessment of deforestation models for reducing emissions from deforestation and forest degradation (REDD),
Transactions in GIS , 14(5), 631-654. https://doi.org/10.1111/j.1467-9671.2010.01227.x10.1111/j.1467-9671.2010.01227.x - Kim, O.S. and Newell, J.P., 2015, The ‘Geographic Emission Benchmark’model: A baseline approach to measuring emissions associated with deforestation and degradation,
Journal of Land Use Science , 10(4), 466-489. https://doi.org/10.1080/1747423X.2014.94764010.1080/1747423X.2014.94764026539243PMC4628818 - Kim, O.S. and Neubert, M., 2018, Construction of a historical map database as a basis for analyzing land-use and land-cover changes, exemplified by the Korean demilitarized zone and inner-German Green Belt (Part 1), Sejong: Korea Environment Institute.
- Kim, O.S., Han, J., Kim, K.W., Matthews, S.A., and Shim, C., 2022, Depopulation, super aging, and extreme heat events in South Korea,
Climate Risk Management , 38, 100456. https://doi.org/10.1016/j.crm.2022.10045610.1016/j.crm.2022.10045637799350PMC10553378 - Kim, O.S., Václavík, T., Park, M.S., and Neubert, M., 2022, Understanding the intensity of land-use and land-cover changes in the context of postcolonial and socialist transformation in Kaesong, North Korea,
Land , 11(3), 357. https://doi.org/10.3390/land1103035710.3390/land11030357 - Kroll, F. and Haase, D., 2010, Does demographic change affect land use patterns?: A case study from Germany,
Land Use Policy , 27(3), 726-737. https://doi.org/10.1016/j.landusepol.2009.10.00110.1016/j.landusepol.2009.10.001 - Lambin, E.F., Rounsevell, M.D., and Geist, H.J., 2000, Are agricultural land-use models able to predict changes in land-use intensity?,
Agriculture, Ecosystems & Environment , 82(1-3), 321-331. https://doi.org/10.1016/S0167-8809(00)00235-810.1016/S0167-8809(00)00235-8 - Lantman, J., Verburg, P.H., Bregt, A., and Geertman, S., 2011, Core principles and concepts in land-use modelling: A literature review in Koomen, E. and Beurden, B. eds.,
Land-use modelling in planning practice , Dordrecht, Netherlands: Springer Nature, 35-57.10.1007/978-94-007-1822-7_3 - Lin, Y.P., Chu, H.J., Wu, C.F., and Verburg, P.H., 2011, Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling-a case study,
International Journal of Geographical Information Science , 25(1), 65-87. https://doi.org/10.1080/1365881100375233210.1080/13658811003752332 - Liu, J., Dietz, T., Carpenter, S.R., Alberti, M., Folke, C., Moran, E., Pell, A.N., Deadman, P., Kratz, T., Lubchenco, J., Ostrom, E., Ouyang, Z., Provencher, W., Redman, C. L., Schneider, S.H., and Taylor, W.W, 2007, Complexity of coupled human and natural systems,
Science , 317(5844), 1513-1516. https://www.science.org/doi/10.1126/science.114400410.1126/science.1144004 - Mas, J.F., Kolb, M., Paegelow, M., Olmedo, M.T.C., and Houet, T., 2014, Inductive pattern-based land use/cover change models: A comparison of four software packages,
Environmental Modelling & Software , 51, 94-111. https://doi.org/10.1016/j.envsoft.2013.09.01010.1016/j.envsoft.2013.09.010 - Manson, S.M., 2005, Agent-based modeling and genetic programming for modeling land change in the Southern Yucatan Peninsular Region of Mexico,
Agriculture, Ecosystems & Environment , 111(1-4), 47-62. https://doi.org/10.1016/j.agee.2005.04.02410.1016/j.agee.2005.04.024 - Meyfroidt, P., De Bremond, A., Ryan, C.M., Archer, E., Aspinall, R., Chhabra, A., Camara, G., Corbera, E., DeFries, R., Diaz, S., Dong, J., Ellis, E.C., Erb, K.H., Fisher, J.A., Garrett, R.D., Golubiewski, N.E., Grue, H.R., Grove, J.M., Haberl, H., Heinimann, A., Hostert, P., Jobbagy, E.G., Kerr, S., Kuemmerle, T., Lambin, E.F., Lavorel, S., Lele, S., Mertz, O., Messerli, P., Metternicht, G., Munroe, D.K., Nagendra, H., Nielsen, J.Ø., Ojima, D.S., Parker, D.C., Pascual, U., Porter, J.R., Ramankutty, N., Reenberg, A., Chowdhury, R.R., Seto, K.C., Seufert, V., Shibata, H., Thomson, A., Tunner, B.L., Urabe, J., Veldkamp, T., Verburg, P., Zeleke, G., and Zu Ermgassen, E. K., 2022, Ten facts about land systems for sustainability,
Proceedings of the National Academy of Sciences , 119(7), e2109217118. https://doi.org/10.1073/pnas.210921711810.1073/pnas.210921711835131937PMC8851509 - Meyer, W.B. and Turner, B.L., 1994, Global land-use and land-cover change: an overview in Meyer, W.B. and Turner, B.L. eds.,
Changes in land use and land cover: a global perspective , Cambridge, UK: Cambridge University Press, 3-10. - Meyer, W.B. and Turner, B.L., 1996, Land-use/land-cover change: challenges for geographers,
GeoJournal , 39(3), 237-240. https://doi.org/10.1007/BF0018837310.1007/BF00188373 - Michetti, M., 2012, Modelling land use, land-use change, and forestry in climate change: A review of major approaches.10.2139/ssrn.2122298
- Muller, M.R. and Middleton, J., 1994, A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada,
Landscape Ecology , 9(2), 151-157. https://doi.org/10.1007/BF0012438210.1007/BF00124382 - Munroe, D.K., McSweeney, K., Olson, J.L., and Mansfield, B., 2014, Using economic geography to reinvigorate land-change science,
Geoforum , 52, 12-21. https://doi.org/10.1016/j.geoforum.2013.12.00510.1016/j.geoforum.2013.12.005 - Nelson, G.C. and Hellerstein, D., 1997, Do roads cause deforestation? Using satellite images in econometric analysis of land use,
American Journal of Agricultural Economics , 79(1), 80-88. https://doi.org/10.2307/124394410.2307/1243944 - Overmars, K.P., de Groot, W.T., and Huigen, M.G., 2007, Comparing inductive and deductive modeling of land use decisions: Principles, a model and an illustration from the Philippines,
Human Ecology , 35(4), 439-452. https://doi.org/10.1007/s10745-006-9101-610.1007/s10745-006-9101-6 - Overmars, K.P. and Verburg, P.H., 2007, Comparison of a deductive and an inductive approach to specify land suitability in a spatially explicit land use model,
Land Use Policy , 24(3), 584-599. https://doi.org/10.1016/j.landusepol.2005.09.00810.1016/j.landusepol.2005.09.008 - O'Sullivan, D., 2001, Exploring spatial process dynamics using irregular cellular automaton models,
Geographical Analysis , 33(1), 1-18. https://doi.org/10.1111/j.1538-4632.2001.tb00433.x10.1111/j.1538-4632.2001.tb00433.x - Park, P., Lee, K., Jung, M., Shin, H., Jang, W., Bae, K., Lee, J., and Lee, D., 2009, Changes in Forest Disturbance Patterns from 1976 to 2005 in South Korea,
Journal of Korean Forest Society , 98(5), 593-601. - Park, S., Jeon, S., Kim, S., and Choi, C., 2011, Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea,
Landscape and Urban Planning , 99(2), 104-114. https://doi.org/10.1016/j.landurbplan.2010.09.00110.1016/j.landurbplan.2010.09.001 - Parker, D.C., Manson, S.M., Janssen, M.A., Hoffmann, M J., and Deadman, P., 2003, Multi-agent systems for the simulation of land-use and land-cover change: a review,
Annals of the Association of American Geographers , 93(2), 314-337. https://doi.org/10.1111/1467-8306.930200410.1111/1467-8306.9302004 - Pattison, W.D., 1990, The four traditions of geography,
Journal of Geography , 89(5), 202-206. https://doi.org/10.1080/0022134640898526510.1080/00221349008979196 - Pijanowski, B.C., Brown, D.G., Shellito, B.A., and Manik, G.A., 2002, Using neural networks and GIS to forecast land use changes: a land transformation model,
Computers, Environment and Urban Systems , 26(6), 553-575. https://doi.org/10.1016/S0198-9715(01)00015-110.1016/S0198-9715(01)00015-1 - Polsky, C., Neff, R., and Yarnal, B., 2007, Building comparable global change vulnerability assessments: The vulnerability scoping diagram,
Global Environmental Change , 17(3-4), 472-485. https://doi.org/10.1016/j.gloenvcha.2007.01.00510.1016/j.gloenvcha.2007.01.005 - Pontius Jr, R.G. and Malanson, J., 2005, Comparison of the structure and accuracy of two land change models,
International Journal of Geographical Information Science , 19(2), 243-265. https://doi.org/10.1080/1365881041000171343410.1080/13658810410001713434 - Pontius Jr, R.G. and Spencer, J., 2005, Uncertainty in extrapolations of predictive land-change models,
Environment and Planning B: Planning and Design , 32(2), 211-230. https://doi.org/10.1068/b3115210.1068/b31152 - Pontius Jr, R.G. and Chen, H., 2006, GEOMOD modeling, Clark University, 44.
- Pontius Jr, R.G., Versluis, A.J. and Malizia, N.R., 2006, Visualizing certainty of extrapolations from models of land change,
Landscape Ecology , 21(7), 1151-1166. https://doi.org/10.1007/s10980-006-7285-110.1007/s10980-006-7285-1 - Pontius Jr, R.G., Boersma, W., Castella, J.C., Clarke, K., de Nijs, T., Dietzel, C., Duan, Z., Fotsing, E., Goldstein, N., Kok, K., Koomen, E., Lippitt, C.D., McConnel, W., Sood, A.M., Pijanowki, B., Pithadia, S., Sweeney, S., Trung, T.N., Veldkamp, A., and Verburg, P.H., 2008, Comparing the input, output, and validation maps for several models of land change,
The Annals of Regional Science , 42(1), 11-37. https://doi.org/10.1007/s00168-007-0138-210.1007/s00168-007-0138-2 - Rindfuss, R.R., Walsh, S.J., Turner, B.L., Fox, J., and Mishra, V., 2004a, Developing a science of land change: challenges and methodological issues,
Proceedings of the National Academy of Sciences , 101(39), 13976-13981. https://doi.org/10.1073/pnas.040154510110.1073/pnas.040154510115383671PMC521107 - Rindfuss, R.R., Turner, B.L., Entwisle, B., and Walsh, S.J., 2004b, Land cover/use and population in Gutman, G., Janetos, A.C., Justics, C.O., Moran, E.F., Mustard, J.F., Rindfuss, R.R., Skole, D., Turner, B.L. and Cochrane, M.A. eds.,
Land Change Science: Observing, monitoring and understanding trajectories of change on the Earth’s surface , Dordrecht, Netherlands: Springer, 351-366.10.1007/978-1-4020-2562-4_20 - Sang, L., Zhang, C., Yang, J., Zhu, D., and Yun, W., 2011, Simulation of land use spatial pattern of towns and villages based on CA-Markov model,
Mathematical and Computer Modelling , 54(3-4), 938-943. https://doi.org/10.1016/j.mcm.2010.11.01910.1016/j.mcm.2010.11.019 - Seto, K.C., Reenberg, A., Boone, C.G., Fragkias, M., Haase, D., Langanke, T., Marcotullio, P., Munroe, D.K., Olah, B., and Simon, D., 2012, Urban land teleconnections and sustainability,
Proceedings of the National Academy of Sciences , 109(20), 7687-7692. https://doi.org/10.1073/pnas.111762210910.1073/pnas.111762210922550174PMC3356653 - Shalaby, A. and Tateishi, R., 2007, Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt,
Applied Geography , 27(1), 28-41. https://doi.org/10.1016/j.apgeog.2006.09.00410.1016/j.apgeog.2006.09.004 - Silva, E.A. and Clarke, K.C., 2002, Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal,
Computers, Environment and Urban Systems , 26(6), 525-552. https://doi.org/10.1016/S0198-9715(01)00014-X10.1016/S0198-9715(01)00014-X - Song, K., Choi, Y.E., Han, H.J., and Chon, J., 2021, Adaptation and transformation planning for resilient social-ecological system in coastal wetland using spatial-temporal simulation,
Science of the Total Environment , 789. https://doi.org/10.1016/j.scitotenv.2021.14800710.1016/j.scitotenv.2021.148007 - Tahir, Z., Haseeb, M., Mahmood, S.A., Batool, S., Abdullah- Al-Wadud, M., Ullah, S., and Tariq, A., 2025, Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques,
Scientific Reports , 15(1), 3271. https://doi.org/10.1038/s41598-025-87796-w10.1038/s41598-025-87796-w39863826PMC11762839 - Tobler, W.R., 1970, A computer movie simulating urban growth in the Detroit region,
Economic Geography , 46, 234-40.10.2307/143141 - Tobler, W.R., 1979, Cellular Geography,
Philosophy in Geography , 379-386.10.1007/978-94-009-9394-5_18 - Turner, B.L. and Harrison, P.D., 1981, Prehistoric raised-field agriculture in the Maya lowlands,
Science , 213(4506), 399-405. https://www.science.org/doi/10.1126/science.213.4506.39910.1126/science.213.4506.399 - Turner, B.L. and Meyer, W.B., 1991, Land use and land cover in global environmental change: considerations for study,
International Social Science Journal , 43(129). - Turner, B.L., Kasperson, R.E., Matson, P.A., McCarthy, J.J., Corell, R.W., Christensen, L., Eckley, N., Kasperson, J.X., Luers, A., Martello, M.L., Polsky, C., Pulsipher, A., and Schiller, A., 2003, A framework for vulnerability analysis in sustainability science.
Proceedings of the National Academy of Sciences , 100(14), 8074-8079. https://doi.org/10.1073/pnas.123133510010.1073/pnas.123133510012792023PMC166184 - Turner, B.L., Lambin, E.F., and Reenberg, A., 2007, The emergence of land change science for global environmental change and sustainability,
Proceedings of the National Academy of Sciences , 104(52), 20666-20671. https://doi.org/10.1073/pnas.070411910410.1073/pnas.070411910418093934PMC2409212 - Turner, B.L. and Robbins, P., 2008, Land-change science and political ecology: Similarities, differences, and implications for sustainability science,
Annual Review of Environment and Resources , 33(1), 295-316. https://doi.org/10.1146/annurev.environ.33.022207.10494310.1146/annurev.energy.33.022207.104943 - Turner, B.L. and Sabloff, J.A., 2012, Classic Period collapse of the Central Maya Lowlands: Insights about human-environment relationships for sustainability,
Proceedings of the National Academy of Sciences , 109(35), 13908-13914. https://doi.org/10.1073/pnas.121010610910.1073/pnas.121010610922912403PMC3435155 - Turner, B.L., Meyfroidt, P., Kuemmerle, T., Müller, D., and Chowdhury, R., 2020, Framing the search for a theory of land use,
Journal of Land Use Science , 15(4), 489-508. https://doi.org/10.1080/1747423X.2020.181179210.1080/1747423X.2020.1811792 - Valbuena, D., Verburg, P.H., Bregt, A.K., and Ligtenberg, A., 2010, An agent-based approach to model land-use change at a regional scale,
Landscape Ecology , 25(2), 185-199. https://doi.org/10.1007/s10980-009-9380-610.1007/s10980-009-9380-6 - Veldkamp, A. and Lambin, E.F., 2001, Predicting land-use change,
Agriculture, Ecosystems & Environment , 85(1-3), 1-6. https://doi.org/10.1016/S0167-8809(01)00199-210.1016/S0167-8809(01)00199-2 - Verburg, P.H. and Bouma, J., 1999, Land use change under conditions of high population pressure: the case of Java,
Global Environmental Change , 9(4), 303-312. https://doi.org/10.1016/S0959-3780(99)00175-210.1016/S0959-3780(99)00175-2 - Verburg, P.H., De Koning, G.H.J., Kok, K., Veldkamp, A., and Bouma, J., 1999a, A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use,
Ecological Modelling , 116(1), 45-61. https://doi.org/10.1016/S0304-3800(98)00156-210.1016/S0304-3800(98)00156-2 - Verburg, P.H., Veldkamp, A., and Fresco, L.O., 1999b, Simulation of changes in the spatial pattern of land use in China,
Applied Geography , 19(3), 211-233. https://doi.org/10.1016/S0143-6228(99)00003-X10.1016/S0143-6228(99)00003-X - Verburg, P.H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V., and Mastura, S.S., 2002, Modeling the spatial dynamics of regional land use: the CLUE-S model,
Environmental Management , 30(3), 391-405. https://doi.org/10.1007/s00267-002-2630-x10.1007/s00267-002-2630-x - Verburg, P.H., Van Eck, J.R., de Nijs, T.C., Dijst, M.J., and Schot, P, 2004, Determinants of land-use change patterns in the Netherlands,
Environment and Planning B: Planning and Design , 31(1), 125-150. https://doi.org/10.1068/b30710.1068/b307 - Verburg, P.H., Kok, K., Pontius Jr, R.G., and Veldkamp, A., 2006, Modeling land-use and land-cover change in Lambin, E.F. and Geist, H.J. eds.,
Land-use and land-cover change: Local processes and global impacts , Berlin and Heiderberg, Germany: Springer, 117-135.10.1007/3-540-32202-7_5 - Verburg, P.H. and Overmars, K.P., 2007, Dynamic simulation of land-use change trajectories with the CLUE-s model in Koomen, E., Stillwell, J., Bakema, A. and Scholten, H.J. eds.,
Modelling land-use change: Progress and applications , Dordrecht, Netherlands: Springer, 321-337.10.1007/978-1-4020-5648-2_18 - Verburg, P.H. and Overmars, K.P., 2009, Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model,
Landscape Ecology , 24(9), 1167-1181. https://doi.org/10.1007/s10980-009-9355-710.1007/s10980-009-9355-7 - Verburg, P.H., Alexander, P., Evans, T., Magliocca, N.R., Malek, Z., Rounsevell, M.D. and Van Vliet, J., 2019, Beyond land cover change: towards a new generation of land use models,
Current Opinion in Environmental Sustainability , 38, 77-85. https://doi.org/10.1016/j.cosust.2019.05.00210.1016/j.cosust.2019.05.002 - Wang, J., Bretz, M., Dewan, M.A., and Delavar, M.A., 2022, Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects,
Science of The Total Environment , 822, 153559. https://doi.org/10.1016/j.scitotenv.2022.15355910.1016/j.scitotenv.2022.153559 - Weng, Q., 2002, Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling,
Journal of Environmental Management , 64(3), 273-284. https://doi.org/10.1006/jema.2001.050910.1006/jema.2001.0509 - 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, 1175-1199. https://doi.org/10.1068/a25117510.1068/a251175 - Wolch, J.R., Byrne, J., and Newell, J.P., 2014, Urban green space, public health, and environmental justice: The challenge of making cities ‘just green enough’,
Landscape and Urban Planning , 125, 234-244. https://doi.org/10.1016/j.landurbplan.2014.01.01710.1016/j.landurbplan.2014.01.017 - Won, N., Kim, K., Kang, J., Park, S., and Lee, H., 2017, Exploring the impacts of anthropogenic disturbance on seawater and sediment microbial communities in Korean coastal waters using metagenomics analysis,
International Journal of Environmental Research and Public Health , 14(2). https://doi.org/10.3390/ijerph1402013010.3390/ijerph1402013028134828PMC5334684 - Zhang, A., Tariq, A., Quddoos, A., Naz, I., Aslam, R.W., Barboza, E., Ullah, S., and Abdullah-Al-Wadud, M., 2025, Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models,
Scientific Reports , 15(1), 6993. https://doi.org/10.1038/s41598-025-92034-410.1038/s41598-025-92034-440016446PMC11868624 - Zhao, Q., Yu, L., Li, X., Peng, D., Zhang, Y., and Gong, P., 2021, Progress and trends in the application of Google Earth and Google Earth Engine,
Remote Sensing , 13(18), 3778. https://doi.org/10.3390/rs1318377810.3390/rs13183778
- Publisher :The Korean Cartographic Association
- Publisher(Ko) :한국지도학회
- Journal Title :Journal of the Korean Cartographic Association
- Journal Title(Ko) :한국지도학회지
- Volume : 25
- No :2
- Pages :13~33
- DOI :https://doi.org/10.16879/jkca.2025.25.2.013


Journal of the Korean Cartographic Association




