• Journal of agriculture & life science
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• v.46 no.4
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• pp.41-55
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• 2012

On the basis of vegetation data collected by point-centered quarter method in analysis in Baekdudaegan of Gangwon province in the area of Hyangrobong, Odaesan, Seokbyeongsan, Dutasan, Deokhangsan and Hambaeksan, the study was carried out to classify forest communities and to evaluate the successional trends. The classification method of cluster analysis was used to make various disordered forests into several common groups for 1,004 sample points all together. By clustering the forests in the six study areas were classified into 28 forest communities, which were subjected to aggregate 8 representative forest communities on the count of species composition and species diversity. They were Mesophytic mixed forest community, others deciduous forest community, Quercus mongolica (dominant) community, Q. mongolica (pure) community, Pinus densiflora - Q. mongolica community, P. densiflora community, Betula ermanii community and Q. mongolica - Pinus koraiensis community. The ecological outlook from the result indicated that P. densiflora community and P. densiflora - Q. mongolica community, which were located in Seokbyeongsan, Dutasan and Deokhangsan around 1,000m above the sea level showed lower species diversity index. On the contrary Mesophytic mixed forest community, others deciduous forest community which was located in Hyangrobong, Odaesan and Hambaeksan mostly in protected area and national park around 1,500m above the sea level displayed higher species diversity index. As the composition ratio of Q. mongolica within a certain community was decreased, the species diversity was generally increased, assumed that abundance of Q. mongolica might be negatively associated with species diversity in the national deciduous forest.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.2
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• pp.93-101
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• 2015

This study was conducted to analyze the relationship between tree-ring growth of Quercus acutissima and climatic variables by dendroclimatological method. Annual tree-ring growth data of Quercus acutissima collected by the $5^{th}$ National Forest Inventory (NFI5) were organized to analyze the spatial distribution of the species growth pattern. To explain the relationship between tree-ring growth of Quercus acutissima and climatic variables, monthly temperature and precipitation data from 1950 to 2010 were compared with tree-ring growth data for each county. When tree-ring growth data were analyzed through cluster analysis based on similarity of climatic conditions, four clusters were identified. In addition, index chronology of Quercus acutissima for each cluster was produced through cross-dating and standardization procedures. The adequacy of index chronologies was tested using basic statistics such as mean sensitivity, auto correlation, signal to noise ratio, and expressed population signal of annual tree-ring growth. Response function analysis was conducted to reveal the relationship between tree-ring growth and climatic variables for each cluster. The results of this study are expected to provide valuable information necessary for estimating local growth characteristics of Quercus acutissima and for predicting changes in tree growth patterns caused by climate change.

• Geophysics and Geophysical Exploration
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• v.1 no.3
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• pp.170-175
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• 1998

A systematic methodology is developed for the prediction of the lithology using electrofacies classification from wireline log data. Multivariate statistical techniques are adopted to segment well log measurements and group the segments into electrofacies types. To consider corresponding contribution of each log and reduce the computational dimension, multivariate logs are transformed into a single variable through principal components analysis. Resultant principal components logs are segmented using the statistical zonation method to enhance the quality and efficiency of the interpreted results. Hierarchical cluster analysis is then used to group the segments into electrofacies. Optimal number of groups is determined on the basis of the ratio of within-group variance to total variance and core data. This technique is applied to the wells in the Korea Continental Shelf. The results of field application demonstrate that the prediction of lithology based on the electrofacies classification works well with reliability to the core and cutting data. This methodology for electrofacies determination can be used to define reservoir characterization which is helpful to the reservoir management.

• Korean Journal of Environmental Biology
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• v.24 no.4
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• pp.329-336
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• 2006

Distribution of zooplankton communities was sampled vertically with a NORPAC net investigated in costal area of Wando from 30, August at 7 stations. A total of 37 taxa were sampled with a total abundance of zooplankton ranged from $147{\sim}1,696indiv.\;m^{-3}$. Evadne tergestina, Acartia pacifica, Paracalanus parvus s. 1, Decapod larvae, Sagitta crassa were dominant species in coastal area of Wando and they contributed 90% of mean abundance of total zooplankton. Multivariate analysis revealed significant differences in community structure among the three regions: the site 1 (A), the middle part of the sampling area (B) and other sites (C). The number and abundance of zooplankton varied significantly among the three regions (p < 0.05). Of these, the distribution of zooplankton communities in the coastal area of Wando was controlled by Tsushima Warn Current and bottom cold water of Yellow Sea.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1257-1260
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• 2017

Single-person households recently have been rapidly increasing and one reason may be the increment in elderly single-person. Since the change of living patterns is relevant to the government policy direction, it is important to understand how single-person households are clustered and which factors have influence on them. In this study, we tried to detect spatial clusters of single-person households and low-income elderly single-person households after adjusting for deprivation index. A recently developed fused lasso for Poisson data was used for data analysis and we provided the details on how to use it in R. From these analysis results, we observed the effect of socioeconomic level on the clusters and explained the reason why spatial clusters are shown after adjusting for deprivation index.

• Korean Journal of Plant Resources
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• v.33 no.2
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• pp.93-105
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• 2020

The study was investigated in vegetation and environmental factors of Thuja koraiensis habitats where provided for ecological evidence data for conservation and management. Study plots were located at altitudes of 1,000~1,588 m with inclinations of 10~30°. A total of 150 taxa was identified 22 quadrates in 6 study sites. The highest basal area was analyzed in Mt. Gariwangsan 49.98 ㎡/㏊ with the lowest Mt. Hwaaksan 3.46 ㎡/㏊. Thuja koraiensis forest was classified into two communities; Abeis nephrolepis-Taxus cuspidata community, Betula ermanii-Thuja koraiensis community. As a result of Multi-Response Permutation Procedures test, there was significant difference among the communities.

• Korean Journal of Remote Sensing
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• v.19 no.2
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• pp.135-147
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• 2003

This study used the multistage hierarchical clustering image classification to analyze the satellite images for the land-cover types of an area in the Korean peninsula. The multistage algorithm consists of two stages. The first stage performs region-growing segmentation by employing a hierarchical clustering procedure with the restriction that pixels in a cluster must be spatially contiguous, and finally the whole image space is segmented into sub-regions where adjacent regions have different physical properties. Without spatial constraints for merging, the second stage clusters the segments resulting from the previous stage. The image classification of hierarchical clustering, which merges step-by step two small groups into one large one based on the hierarchical structure of digital imagery, generates a hierarchical tree of the relation between the classified regions. The experimental results show that the hierarchical tree has the detailed information on the hierarchical structure of land-use and more detailed spectral information is required for the correct analysis of land-cover types.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.408-424
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• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.60-60
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• 2022

우리나라에 분포하는 팥꽃나무과(Thymelaeaceae) 산닥나무속(Wikstroemia) 식물은 산닥나무[Wikstroemia trichotoma (Thunb.) Makino], 거문도닥나무[W. ganpi (Siebold & Zucc.) Maxim.] 2종이 분포하고 있다. 산닥나무는 낮은 산지의 그늘진 계곡에서 주로 자생하며, 거문도닥나무는 임연부에서 주로 자생하는 것으로 알려져 있다. 현재 우리나라에 남아있는 자생지는 기후변화, 남획 등을 이유로 과거에 비하여 축소되어 유전자원의 현지 내·외 보전이 적극적으로 권장된다. 따라서 본 연구에서는 삼지닥나무, 산닥나무, 거문도닥나무의 생육환경 특성을 파악하여 보존 및 증식을 위한 기초자료로 활용하는 데 그 목적이 있다. 연구 결과, 확인된 자생지는 3지역 7개소로 산닥나무는 순천지역, 영암지역, 거문도닥나무는 고흥지역에 자생하는 것으로 확인되었다. 산닥나무는 해발고도 72-248 m, 사면 방위는 북사면, 동사면, 경사는 30-55°의 급경사지에서 주로 자생하는 것으로 확인되었으며, 방형구(10×10 m) 내 개체수는 8-20 개체가 확인되었다. 거문도닥나무는 해발고도 65-76 m, 사면방위는 동사면, 경사는 20-60°, 개체수는 15-25 개체가 확인되었다. 군집분석은 지표종 분석을 통해 가장 유의한 2개 군집으로 나뉘었으며, 산닥나무는 소나무 군집(Pinus densiflora Sieblod & Zucc.), 거문도닥나무는 곰솔(Pinus thunbergii Parl.) 군집으로 확인되었다. 군집의 안전성, 다양성을 나타내는 척도인 종다양성, 최대종다양도, 균재도 및 우점도지수는 소나무 군집 1.2303, 1.2788, 0.9621, 0.0389, 곰솔 군집이 1.1821, 1.2359, 0.9552, 0.0448로 확인되었다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.400-401
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• 2000

국내에서 적조연구는 국립수산진흥원에서 남해를 비롯 우리나라 연안의 모니터링과 한양대학교 연구팀의 마산만에 관한 연구가 초기부터 활발하게 이루어졌다. 적조 연구는 주로 적조원인 플랑크톤의 발생규모, 계절적 변동과 그 때 수질환경을 조사하였고 대체로 군집 수준에서 다루어졌다 (박과 김, 1967; 유와 이, 1976; Yoo and Lee, 1979; 박, 1982). 우리나라의 적조 연구는 주로 마산-진해만애서 이루어져 왔다. 마산만과 진해만을 비롯 행암만, 덕동만, 진동만, 칠천수로 등이 그 대상지가 되었으며 이 지역에서는 그동안 상당한 자료가 축적되어 왔다. 하지만 본 연구 대상지역인 광양만에서 적조연구에 관한 자료가 미흡하여 본 연구는 기존의 적조생물의 군집 수준의 연구와 유사하다. 개체군의 변동을 파악하는데 중점을 두었고 광양제철소를 중심으로 하여 남해 일대에 걸쳐 모니터링을 하고 수환경의 특성과 개체군 변동을 동시에 조사함으로서 제철소 건립 후 광양만에서 적조 발생의 최근적조 양상을 분석하였다. (중략)