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    자연공원 용도지구 설정을 위한 환경공간정보와 SOM(Self-Organizing map)을 활용한 지역 특성 도출 - 태안해안국립공원을 대상으로 - = Deduction of regional characteristics using environmental spatial information and SOM (Self-Organizing map) for natural park zoning - Focused on Taeanhaean National Park -

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    https://www.riss.kr/link?id=A108641243

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Korea's natural parks are managed by dividing them into four use districts: nature preservation district, natural environment district, cultural heritage district, and park village district within the park under the goal of 'conservation and sustainable use of natural parks'. However, the use districts divided in this way are designated by reflecting the results derived from the simple drawing overlapping method, and there is a limit in that objective and scientific evidence for this is insufficient. In addition, in Taeanhaean National Park, the case of this study, only a very small area of less than 1% of the nature preservation district is designated, and the natural environment district that serves as a buffer space is designated on an excessively wide scale, making it difficult to efficiently manage the national park.
    Therefore, the use district is not fulfilling its role. In this study, the purpose of this study was to present a method for analyzing the spatial characteristics of natural parks using environmental indicators and unsupervised learning analysis methods to set the use districts of natural parks. In this study, evaluation indicators that can evaluate the natural and human environments were derived, and the distribution patterns for each indicator were analyzed. Afterwards, by applying Self-Organizing Map (SOM) analysis, one of the unsupervised learning analysis methods, districts with similar characteristics were derived in Taeanhaean National Park, and the characteristics of each district were analyzed. As a result of the study, 7 districts with different characteristics were derived in Taeanhaean National Park, and by examining the contribution of each indicator together, it was possible to reveal that each district had different representative characteristics even though it was an adjacent area. This study evaluated natural parks by comprehensively considering the indicators of the natural and human environments. In addition, the SOM method used in the study is meaningful in that it can provide scientific and objective grounds for the existing zoning and apply it to the management plan.
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    Korea's natural parks are managed by dividing them into four use districts: nature preservation district, natural environment district, cultural heritage district, and park village district within the park under the goal of 'conservation and sustainab...

    Korea's natural parks are managed by dividing them into four use districts: nature preservation district, natural environment district, cultural heritage district, and park village district within the park under the goal of 'conservation and sustainable use of natural parks'. However, the use districts divided in this way are designated by reflecting the results derived from the simple drawing overlapping method, and there is a limit in that objective and scientific evidence for this is insufficient. In addition, in Taeanhaean National Park, the case of this study, only a very small area of less than 1% of the nature preservation district is designated, and the natural environment district that serves as a buffer space is designated on an excessively wide scale, making it difficult to efficiently manage the national park.
    Therefore, the use district is not fulfilling its role. In this study, the purpose of this study was to present a method for analyzing the spatial characteristics of natural parks using environmental indicators and unsupervised learning analysis methods to set the use districts of natural parks. In this study, evaluation indicators that can evaluate the natural and human environments were derived, and the distribution patterns for each indicator were analyzed. Afterwards, by applying Self-Organizing Map (SOM) analysis, one of the unsupervised learning analysis methods, districts with similar characteristics were derived in Taeanhaean National Park, and the characteristics of each district were analyzed. As a result of the study, 7 districts with different characteristics were derived in Taeanhaean National Park, and by examining the contribution of each indicator together, it was possible to reveal that each district had different representative characteristics even though it was an adjacent area. This study evaluated natural parks by comprehensively considering the indicators of the natural and human environments. In addition, the SOM method used in the study is meaningful in that it can provide scientific and objective grounds for the existing zoning and apply it to the management plan.

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    참고문헌 (Reference)

    1 김도은 ; 손용훈, "헤메로비 등급(Hemeroby Index)을 활용한 도시공원의 인지된 자연성 평가" 한국조경학회 49 (49): 89-100, 2021

    2 구경아 ; 박선욱, "토지이용변화를 고려한 생태계 보호지역 선정기법 개발" 대한지리학회 55 (55): 253-264, 2020

    3 박용하 ; 이관규 ; 최재용 ; 이현우 ; 김기영 ; 허수진 ; 서경원, "생태계 보호지역의 합리적 지정을 위한 평가방법의 개발과 적용방안" 한국환경영향평가학회 17 (17): 177-188, 2008

    4 구경아, "생태계 보호지역 평가에서 생태공학 도입과 활용" 한국환경영향평가학회 29 (29): 144-155, 2020

    5 구경아 ; 임창민 ; 양병윤, "국립공원 관리 측면에서 새로운 용도지구 결정을 위한 생태기반평가 체계 고도화 연구" 국토지리학회 56 (56): 353-366, 2022

    6 Kowarik, I., "Zum Einfluss des Menschen auf Flora undVegetation, Theoretische Konzepte und ein Quantifizierungsansatz amBeispiel von Berlin (West) Berlin, Schriftenreihe des Fachbereichs" 56 (56): 280-, 1988

    7 Zhou, Y., "Where to Revitalize, and How? A Rural Typology Zoning for China" 10 (10): 1336-, 2021

    8 Gosal, A. S., "Using social media, machine learning and natural language processing to map multiple recreational beneficiaries" 38 : 100958-, 2019

    9 Das, S., "Urban wetland fragmentation and ecosystem service assessment using integrated machine learning algorithm and spatial landscape analysis" 1-19, 2021

    10 Clark, S., "Tools for enhancing the application of self-organizing maps in water resources research and engineering" 143 : 103676-, 2020

    1 김도은 ; 손용훈, "헤메로비 등급(Hemeroby Index)을 활용한 도시공원의 인지된 자연성 평가" 한국조경학회 49 (49): 89-100, 2021

    2 구경아 ; 박선욱, "토지이용변화를 고려한 생태계 보호지역 선정기법 개발" 대한지리학회 55 (55): 253-264, 2020

    3 박용하 ; 이관규 ; 최재용 ; 이현우 ; 김기영 ; 허수진 ; 서경원, "생태계 보호지역의 합리적 지정을 위한 평가방법의 개발과 적용방안" 한국환경영향평가학회 17 (17): 177-188, 2008

    4 구경아, "생태계 보호지역 평가에서 생태공학 도입과 활용" 한국환경영향평가학회 29 (29): 144-155, 2020

    5 구경아 ; 임창민 ; 양병윤, "국립공원 관리 측면에서 새로운 용도지구 결정을 위한 생태기반평가 체계 고도화 연구" 국토지리학회 56 (56): 353-366, 2022

    6 Kowarik, I., "Zum Einfluss des Menschen auf Flora undVegetation, Theoretische Konzepte und ein Quantifizierungsansatz amBeispiel von Berlin (West) Berlin, Schriftenreihe des Fachbereichs" 56 (56): 280-, 1988

    7 Zhou, Y., "Where to Revitalize, and How? A Rural Typology Zoning for China" 10 (10): 1336-, 2021

    8 Gosal, A. S., "Using social media, machine learning and natural language processing to map multiple recreational beneficiaries" 38 : 100958-, 2019

    9 Das, S., "Urban wetland fragmentation and ecosystem service assessment using integrated machine learning algorithm and spatial landscape analysis" 1-19, 2021

    10 Clark, S., "Tools for enhancing the application of self-organizing maps in water resources research and engineering" 143 : 103676-, 2020

    11 Kohonen, T., "The self-organizing map" 21 (21): 1-6, 1998

    12 Polasky, S., "The impact of land-use change on ecosystem services, biodiversity and returns to landowners: a case study in the state of Minnesota" 48 (48): 219-242, 2011

    13 Xu, W., "The effectiveness of the zoning of China's protected areas" 204 : 231-236, 2016

    14 Ahn, T. M., "The Study on the Management Suggestion and Current Conditions of Marine and Coastal National Park in Korea" 1 (1): 13-28, 2009

    15 Ministry of Environment, "Study on objectification of ecosystem protection area designation standards" 2007

    16 Peng, J., "Spatial identification of multifunctional landscapes and associated influencing factors in the Beijing-Tianjin-Hebei region, China" 74 : 170-181, 2016

    17 Krausman, P. R., "Some basic principles of habitat use" 70 : 85-90, 1999

    18 Borhidi, A., "Social behaviour types, the naturalness and relative ecological indicator values of the higher plants in the Hungarian flora" 39 : 97-181, 1995

    19 Bação, F., "Self-organizing maps as substitutes for k-means clustering" Springer Berlin Heidelberg 476-483, 2005

    20 Plexida, S. G., "Selecting landscape metrics as indicators of spatial heterogeneity-a comparison among Greek landscapes" 26 : 26-35, 2014

    21 Liu, X., "Scientific solutions for the functional zoning of nature reserves in China" 215 (215): 237-246, 2008

    22 Kalteh, A. M., "Review of the self-organizing map (SOM)approach in water resources: Analysis, modelling and application" 23 (23): 835-845, 2008

    23 Dramstad, W. E., "Relationships between visual landscape preferences and map-based indicators of landscape structure" 78 (78): 465-474, 2006

    24 Krajter Ostoić, S., "Qualitative exploration of perception and use of cultural ecosystem services from tree-based urban green space in the city of Zagreb (Croatia)" 11 (11): 876-, 2020

    25 Geneletti, D, "Protected area zoning for conservation and use: A combination of spatial multicriteria and multiobjective evaluation" 85 (85): 97-110, 2008

    26 Visconti, P., "Protected area targets post-2020" 364 (364): 239-241, 2019

    27 Hunziker, M, "Potential impacts of changing agricultural activities on scenic beauty – a prototypical technique for automated rapid assessment" 14 (14): 161-176, 1999

    28 Slater, S. J., "Peer Reviewed: Recommendations for keeping parks and green space accessible for mental and physical health during COVID-19 and other pandemics" 17 : 2020

    29 Nagendra, H., "Opposite trends in response for the Shannon and Simpson indices of landscape diversity" 22 (22): 175-186, 2002

    30 "Natural Capital Project"

    31 Peng, J., "Multifunctional landscapes identification and associated development zoning in mountainous area" 660 : 765-775, 2019

    32 Sun, X., "Monitoring spatio-temporal dynamics of habitat quality in Nansihu Lake basin, eastern China, from 1980 to 2015" 102 : 716-723, 2019

    33 Terrado, M., "Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning" 540 : 63-70, 2016

    34 Huang, F., "Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine" 223 : 11-22, 2017

    35 Gosal, A. S., "Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning" 117 : 106638-, 2020

    36 Ji, C. Y., "Land-use classification of remotely sensed data using Kohonen self-organizing feature map neural networks" 66 (66): 1451-1460, 2000

    37 Ge, G., "Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms" 22 : e00971-, 2020

    38 Bagan, H., "Land cover classification and change analysis in the Horqin Sandy Land from 1975 to 2007" 3 (3): 168-177, 2010

    39 Dittrich, A., "Integrating ecosystem service bundles and socio-environmental conditions–A national scale analysis from Germany" 28 : 273-282, 2017

    40 Walz, U, "Indicators of hemeroby for the monitoringof landscapes in Germany" 22 (22): 279-289, 2014

    41 Sharp, R., "InVEST user’s guide" The Natural Capital Project 2014

    42 IUCN and World Commission on Protected Areas, "IUCN Green List of Protected and Conserved Areas: Standard, Version 1.1" 2017

    43 Kim, Y. M., "Human impact on flora and habitats in Korean rural settlements" 409-419, 2002

    44 Jalas, J., "Hemerobe und hemerochore Pflanzenarten: Ein terminologischer Reformversuch" 72 : 1-15, 1955

    45 Fu, M., "Functional zoning and space management of three-river-source national park" 29 (29): 2069-2084, 2019

    46 Winter, S., "Forest naturalness assessment as a component of biodiversity monitoring and conservation management" 85 (85): 293-304, 2012

    47 Hull, V., "Evaluating the efficacy of zoning designations for protected area management" 144 (144): 3028-3037, 2011

    48 Song, S., "Evaluating the effects of urban expansion on natural habitat quality by coupling localized shared socioeconomic pathways and the land use scenario dynamics-urban model" 112 : 106071-, 2020

    49 Bruner, A. G., "Effectiveness of parks in protecting tropical biodiversity" 291 (291): 125-128, 2001

    50 Gu, Q., "Characterizing the spatial variations of the relationship between land use and surface water quality using self-organizing map approach" 102 : 633-643, 2019

    51 Park, Y. S., "Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map" 55 : 214-221, 2014

    52 Frank, S., "Assessment of landscape aesthetics-Validation of a landscape metrics-based assessment by visual estimation of the scenic beauty" 32 : 222-231, 2013

    53 Hermes, J., "Assessing the aesthetic quality of landscapes in Germany" 31 : 296-307, 2018

    54 Yutian, L. U., "An approach to urban landscape character assessment: Linking urban big data and machine learning" 103983-, 2022

    55 Sengl, P., "A test of naturalness indicator values to evaluate success in grassland restoration" 18 (18): 184-192, 2017

    56 Hilker, T., "A new data fusion model for high spatial-and temporal -resolution mapping of forest disturbance based on Landsat and MODIS" 113 (113): 1613-1627, 2009

    57 Ministry of Environment, "3rd National Park Feasibility Study Criteria and Natural Park System Improvement Research Report" 2019

    58 Ministry of Environment, "2nd National Park Feasibility Study Criteria and Natural Park System Improvement Research Report" 2008

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