References
- Bae, M. 2017. A Study on Environmental Conservation Plan Based on Spatialization Method in Local Goverments. Envornmental Policy 25(2): 25-60.
- Cho, H.J., Kim, D.H., Shin, M.S., Kang, T. and Lee, M. 2015. Predicting the Goshawk's habitat area using Species Distribution Modeling: Case Study area Chungcheongbukdo, South Korea. Korean J. Environ Ecol. 29(3): 333-343.(In Korean) https://doi.org/10.13047/KJEE.2015.29.3.333
- Choi, H.S. and Kwan, Y.H. 2009. Improving of Planning System for Sustainable Urban Development: Focus on Introducing Envrionmental and Ecological Planning. Environmental Policy 8(3): 27-51. https://doi.org/10.17330/joep.8.3.200909.27
- Eum, J.H. 2016. Vulnerability Assessment to Urban Thermal Environment for Spatial Planning: A Case Study of Seoul, Korea. J. KILA 44(4): 109-120.(In Korean)
- Kim, E.Y., Jeon, S.W., Song, W.K. and Kwak, J.Y., Lee, J. 2012. Applilcation of ECVAM as a indicator for monitoring national environment in Korea. Environmental Policy 11(2): 3-16.(In Korean)
- Kim, H.J. and Cho, S.K. 1998. Applicaton of Hemeroby for Environmental Assessment with Environmental Planning: Focused on the Case "LG Village". Kor. J. Env. 12(3): 253-258.(In Korean)
- Kim, J.S. and Park, S.Y. 2017. Landslide susceptibility mapping using ensemble FR and LR models at the Inje area, Korea. The Korea Society For Geospatial Information System 25(1): 19-27.(In Korean) https://doi.org/10.7319/kogsis.2017.25.1.019
- Kim, C.S., Lee, Y.D. and Lee, H.W. 2009. A case study of calculating flood inundation area by HEC-GeoRAS. Korean Society of Disaster & Security 2(4): 43-48.(In Korean)
- Kim, H., Lee, D.K., Mo, Y., Kil, S. and Park, C., Lee, S. 2013. Pridiction of landslides occurrence probability under climate change using MaxEnt model. Journal of Environmental Impact Assessment 22(1): 39-50.(In Korean) https://doi.org/10.14249/eia.2013.22.1.039
- Kim, T.H. 2015. Linking and Utilizing Urban, Environmental, Disaster Prevention Spatial Data for a Climate Chnage Adaptation Spatial Planning. Environmental Policy 14(1): 85-112. https://doi.org/10.17330/joep.14.1.201503.85
- Lee, W.S. An Evaluation of Natural-Ecological Function for Planning and Management on Forest. J. KILA 39(5): 1-11.
- Ministry of Environment. 2017. Developemnt of Economic Assessment Technique for Climate Change Impact and Adaptation Considering Uncertainties. R&D report(Development of technology in integrated management of climate change adaptation)(In Korean)
- Mo, Y.W., Park, J.H., Son, Y.H. and Lee, D.K. 2016. Technical Articles: Eastablishment of additional protected areas and applying payment for ecosystem services(PES) for sustainability of Suncheonman-Bay. The Korea Society of Environmental Restoration Technology 19(1): 171-184.(In Korean) https://doi.org/10.13087/kosert.2016.19.1.171
- Mo, W.Y., Lee, D.K., Kim, H.G., Baek, G.H. and Nam, S.J. 2013. Efficient establishment of protected areas in Pyoungchang county, Kangwon province to support spatial decision making. The Korea Society of Environmental Restoration Technology 16(1): 171-180.(In Korean) https://doi.org/10.13087/kosert.2013.16.1.171
- Park, H., Lim, J., Lee, J. and Lee, G. 2017. Predicting the potential distributions of invasive species using the Landsat imagery and MaxEnt: Focused on "Ambrosia trifida L. var. trifida" in Korean Demilitarized zone. The Korea Society of Environmental Restoration Technology 20(1): 1-12.(In Korean)
- Park, H.C., Lee, J.H. and Lee, G.G. 2014. Predicting the suitable habitat of the Pinus pumila under climate change. Journal of Environmental Impact Assessment. 23(5): 379-392.(In Korean) https://doi.org/10.14249/eia.2014.23.5.379
- Yoon, E.J. and Lee, D.K. 2017. Basic study on spatial optimization model for sustainability using Genetic Algorithm: Based on literature review. The Korea Society of Environmental Restoration Technology 20(6): 103-119.(In Korean)
- Lee, Y.H., Hong, S.H., Na, C.S., Sohn, S.I., Kim, M.H., Kim, C.S. and Oh, Y. 2016. Predicting the suitable habitat of Amaranthus viridis based on climate change scenarios by MaxEnt. Korean Journal of Environmental Biology 34(4): 240-245.(In Korean) https://doi.org/10.11626/KJEB.2016.34.4.240
- Korean Environment Institute. 2017. A study on development of evaluation indicators for the development-environmental plan linkage system(In Korean)
- Duan, H.F., Li, F. and Yan, H. 2016. Multi-objective optimal design of detention tanks in the urban stormwater drainage system: LID implementation and analysis. Water Resour. Manag. 30: 4635-4648. https://doi.org/10.1007/s11269-016-1444-1
- Eikelboom, T., Janssen, R. and Stewart, T.J. 2015. A spatial optimization algorithm for geodesign. Landsc Urban Plan 144: 10-21. https://doi.org/10.1016/j.landurbplan.2015.08.011
- Janssen, R. and Herwijnen, M. 2008. Multiobjective decision support for land-use planning. Environment and Planning B: Planning and Design 35: 740-756. https://doi.org/10.1068/b33071
- Neema, M.N. and Ohgai, A. 2010. Multi-objective locaton modeling of urban parks and open spaces: Continuous optimization. Comput Environ Urban Syst 34: 359-376. https://doi.org/10.1016/j.compenvurbsys.2010.03.001
- Porta, J., Parapar, J., Doallo, R., Rivera, F. F., Sante, I. and Crecente, R. 2013. High performance genetic algorithm for land use planning. Computers, Environment and Urban Systems 37: 45-58. https://doi.org/10.1016/j.compenvurbsys.2012.05.003
- Schwaab, J., Deb, K., Goodman, E., Lautenbach, S., Van Strien,, M.J. and Gret-Regamey, A. 2017. Improving the performance of genetic algorithms for land-use allocation problems. International Journal of Geographical Information Science (DOI:10.1080/13658816.2017.1419249)
- Stewart, T.J., Janssen, R. and Van Herwijnen, M. 2004. A genetic Algorithm approach to multi objective land use planning. Computers & Operations Research 31(4): 2293-2313. https://doi.org/10.1016/S0305-0548(03)00188-6
- Yoon, E.J., Lee, D.K., Kim, H.G., Kim, H. R., Jung, E. and Yoon, H. 2017. Multi-objective land use allocation considering landslide risk under climate change: Case study in Pyeongchang-gun, Korea. Sustainability 9(12).
- Zhang, K. and Chui, T.F.M. 2018. A comprehensive review of spatial allocation of LID-BMP-GI practices: Strategies and optimization tool. Science of the Total Environmnet 621: 915-929. https://doi.org/10.1016/j.scitotenv.2017.11.281
- Zhang, W. and Huang, B. 2015. Soil erosion evaluation in a rapidly urbanizing city (Shenzhen, China) and implementation of spatial land-use optimization. Environ Sci Pollut Res 22: 4475-4490. https://doi.org/10.1007/s11356-014-3454-y
- Zitzler, E., Laumanns, M. and Bleuler, S. 2004. A tutorial on evolutionary multiobjective optimization. Technical Report. Computer Engineering and Networks Laboratory (TIK), Zurich, Switzerland: Swiss Federal Institute of Technology (ETH) ZURICH.
Cited by
- Modeling spatial climate change landuse adaptation with multi-objective genetic algorithms to improve resilience for rice yield and species richness and to mitigate disaster risk vol.14, pp.2, 2019, https://doi.org/10.1088/1748-9326/aaf0cf