• The Korean Journal of Ecology
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• v.23 no.6
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• pp.439-444
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• 2000

Forest vegetation in Mt. Jangan County Park, Jeonlabuk-Do, Korea, was investigated by classification and ordination methods. By the cluster analysis (classification) method, nine groups were recognized as follows : Quercus serrata community, Quercus serrata- Carpinus laxiflora community, Cornus controversa community, Fraxinus mandshurica community, Carpinus laxiflora community, Quereus variabilis community, Quercus mongolica - Sasa borealis community. Quercus mongolica - Symplocos chinensis for. pilosa community and Quercus mongolica - Rhododendron schlippenbachii community. These groups showed differences in species composition and environmental characteristics, but Quercus mongolica - Sasa borealis community, Quercus mongolica - Symplocos chinensis for. pilosa community and Quercus mongolica - Rhododendron schlippenbachii community among them showed very similar floristic composition to each other. The interrelationship between the floristic composition of the vegetation and environmental factors was analysed by principal component analysis (PCA). Quercus mongolica community was distributed at a high altitude (900～1200 m above sea level). Fraxinus mandshurica community and Cornus controversa community were differentiated from the other communities with high contents of soil moisture and pH. On the other hand, Carpinus laxiflora community and Quercus variabilis community were distributed at places with adequate levels of soil moisture, soil organic matter. and at low altitude. In this study, the altitude and soil moisture were the main factors determining the forest vegetation. They were strongly correlated with the dominant compositional gradient at the localities examined.

• The Journal of Sustainable Design and Educational Environment Research
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• v.3 no.2
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• pp.21-37
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• 2003

This study has the purpose for analysis of each region's property in order to plan a elementary school's space according to community property. For this analysis. we used classification method through classification analysis. classification analysis is one of the useful statistical analysis methode for determining each region's policy through classifying regions which have a similar property. On this study, Seoul and Kyongkido is classified by 4 groups and each group has a different community property. Such a analysis is thought of helping establishing the objective. reasonable space-plan through comparative analysis between subjective claim and objective state indicator of each region.

• The Korean Journal of Ecology
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• v.17 no.4
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• pp.471-484
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• 1994

The forest vegetation types and their structural characteristics in Mt. $Mud\v{u}ng$ were investigated by classification method and ordination method. The forest was classified into 7 communities by ristic composition table: Quercus monogolica community, Q. serrata community, Q.acutissima community, Q.variabilis community, Q.dentata community, Pinus densiflora community and Frainus mandshurica community. Considering the moisture gradient, two kinds of distributuin pattern were shown as follows; F. mandshurica, Q. acturissima, Platycarya strobilacea and Staphylea bumalda were distribute at moist habitats, while Q. monogolica, P. densiflora and Q.variabilis at dry habitats. In continuum analysis, each population occupied different distribution area but it was continuously overlapped. On the successional trends of tree species, it is postulated that Q. mongolica species might dominate the altitudinal zone over 700m.

• Journal of Korean Society of Forest Science
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• v.86 no.2
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• pp.214-222
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• 1997

Employing the relev$\acute{e}$ method of Muller-Dombois & Ellenberg and Braun-Blanquet, 100 plots were sampled in the Quercus mongolica community of Mt. Odae, Mt. Chumbong and Mt. Jungwang in Kangwon-do. To analyze the data, phytosociological method and TWINSPAN were used. 1. Quercus mongolica forests were recognized as Quercus mongolica-Acer pseudosieboldianum community group, and were classified into Quercus mongolica-Carpinus cordata community, Quercus mongolica-Acer pseudosieboldianum typical community, Quercus mongolica-Lespedeza maximocoiczii community and Quercus mongolica-Abies nephrolepis community by phytosociological method. Quercus mongolica-Carpinus cordata community was subdivided into Acer mandshuricum subcommunity and typical subcommunity. 2. According to the classification of TWINSPAN, it was categorized into five groups, such as Quercus mongolica-Acer mandshuricum community, Quercus mongolica-Carpinus cordata community, Quercus mongolica-Acer pseudosieboldianum community, Quercus mongolica-Lindera obtusiloba community, and Quercus mongolica-Abies nephrolepis community. 3. Since the results of phytosociological community classification, which identify five groups of the community, were consistent with that of TWINSPAN, it proved that these two methods could be complement when one do a community classification.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.1
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• pp.57-71
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• 2007

While a concept on biotop or the urgency of its classification systems have been under discussion recently, this study aims to examine outdoor biotop classification systems for environment-friendly community. To this end, the feasibility of creating a biotop in the community and application elements were generated and biotops were classified and categorized. Then, elements that can be applied in consideration of traditional Korean techniques were generated and biotop classification systems and specific components in residential areas were reviewed. As for the result of this study, based on a preliminary draft prepared through literature review, considerations for biotop classification systems were taken into account. Then, based on classification criteria for biotop formats, biotop functions and biotop types, a second-tier classification system was developed. Criteria for biotop formats included surfaces, lines and points while criteria for biotop functions were large cores, small bases, corridors, stepping stones and ecological islands. Criteria for habitat types were divided to include natural forest, developed green areas, lacustrine wetland, palustrine wetland, shrubs, grasslands, linear habitats, vacant plots and practical green areas, which were sub-categorized. As for the biotop classification system, macro-classification divided biotops into three types-space, line and point-based on biotop formats. Meso-classification had five groups and micro-classification had 21 groups based on habitat types. Future studies should focus on the ecological features of each biotop categories generated in this study and their creation and management techniques to find many practical methods to create, protect and manage outdoor biotop for environment-friendly community.

• Journal of Plant Biology
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• v.33 no.3
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• pp.173-182
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• 1990

To investigate the structure of the plant community structure of Mt. Yongmun in Kyonggi-do, fifty-four plots were set up by the clumped sampling method. The classification by TWINSPAN and DCA ordination were applied to the study area in order to classify them into several groups based on woody plant and environmental variables. By both techniques, the plant community were divided into two groups by the aspect. the dominant species of south aspect were Pinus densiflora, Quercus aliena, Q. mongolica, Carpinus laxiflora and of north aspect were Q. ongolica, Fraxinus rhynchophylla. The successional trends of tree species in south aspect seem to be from P. densiflora through Q. serrata, Q. aliena, A. mongolica to C. laxiflora. As a result of the analysis for the relationship between the stand scores of DCA and environmental variables, they had a tendency to increase significantly from the P. densiflora and Q. mongolica community to C. laxiflora and F. rhynchophylla community that was the soil moisture, the amount of soil humus and soil pH.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.169-185
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• 2017

The result of forest vegetation classification could be quite different and dependant on analysis methods. The purpose of this study was to compare the analyzed results for three kinds of methods (physiognomy dominant species, floristic composition and interspecific association) related to vegetation classification. Vegetation data were collected by the 80 quadrates in Mt. Oseo, Chungcheongnam-do from September to October in 2016. We carried out community type classification using above three methods. As a result, the vegetation according to physiognomy dominant species was classified into ten communities such as Pinus densiflora community, Quercus mongolica community, Zelkova serrata community, Quercus acutissima community, Cornus controversa community, Quercus serrata community, Larix kaempferi community, Pinus rigida community, Castanea crenata community and Liriodendron tulipifera community. The vegetation according to floristic composition was classified into 4 vegetation units. It was totally represented by Lindera erythrocarpa community group. And L. erythrocarpa community group was classified into the Rhododendron mucronulatum community (subdivided R. mucronulatum typical group and Styrax obassia group) and Zelkova serrata community (subdivided Larix kaempferi group and Pseudostellaria palibiniana group). As a result of interspecific association, forest vegetation was divided into two groups. And it was considered that the vegetation type by floristic composition and interspecific association significant could be affected by topography. There were lots of vegetation groups or units in the order like 10 types of communities by the physiognomy dominant species, 8 species group and 4 vegetation types by the floristic composition, and 2 types by the interspecific association. In conclusion, vegetation classification methods elicited diverse vegetation groups or units with lots of correlations of environmental factors.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.1
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• pp.43-48
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• 2016

We propose plain fingerprint classification based on a core stochastic algorithm that effectively uses a core stochastic model, acquiring more fingerprint minutiae and direction, in order to increase matching performance. The proposed core stochastic algorithm uses core presence/absence and contains a ridge direction and distribution map. Simulations show that the fingerprint classification accuracy is improved by more than 14%, on average, compared to other algorithms.

• Korean Journal of Environment and Ecology
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• v.5 no.1
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• pp.54-67
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• 1991

To investigate the structure of the plant community of Daewon valley forest in Mt. Chiri, eighty-nine plots were set up by the dumped sampling method. The classification by TWINSPAN and DCA ordination were applied to the study area in order to classify item into several groups based on woody plants and environmental variables. The classification had been successfully overlayed on an ordination of the same data using DCA. The plots can be classified into five groups by TWINSPAN and DCA. There are Pinus densiflora community. Quercus variabilis-Q. serrata community. Carpinus laxiflora community. Q. monogolica community and Cornus controversa-Q. mongolica community. The successional trends of tree species by both techniques seem to be from P. densiflora through Q. variabilis, Q. serrata to C. laxiflora on the low altitude and from Q. mongolica to C. controversa on the high altitude in the canopy layer. As a result of the analysis for the relationship between the stand scores of DCA and environmental variables. they had a tendancy to increase significantly from the P. densiflora community to C. laxiflora community that was soil moisture. the amount of soil humus and soil nutrients.

• Korean Journal of Environment and Ecology
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• v.21 no.4
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• pp.356-365
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• 2007

This study was conducted to evaluate the changed vegetational community structure according to vegetational succession in Chiaksan National Park of Korea by applying ordination and classification method of floristic composition along with the actual vegetation by correlation. As for the ratio of actual vegetation, Mongolian oak forest(33.1%) was the highest, followed by mixed forest(16.2%), Japanese larch forest(15.6%), deciduous broad-leaved forest(14.7%), red pine forest(11.1%), Korean pine forest(2.3%) and Pitch pine forest(0.1%), respectively. The vegetation was classified into Acer pseudosieboidianum-Quercus mongolica community, Cornus controversa-Carpinus cordata community, Quercus sonata community, Pinus densiflora community and afforestation. The Acer pseudosieboldianum-Quercus mongolica community-a subordinately ranked community-was divided into Carpinus laxiflora-Sassa borealis community, Fraxinus rhynchophylla community and Symplocos chinensis for. pilosa-Carex siderosticta community. The results of community classification using by ordination and classification method of floristic composition were similar to each other. The vegetational succession, with the combination of Quercus mongolica, Acer pseudosieboldianum and Rhododendron schlippenbachii, was predicted to form a climax forest from above the hillside.