• Journal of Korean Society of Forest Science
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• v.111 no.3
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• pp.428-434
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• 2022

This study was conducted to derive the site index of forest productivity of Robinia pseudoacacia (honey plant) to characterize suitable planting sites and to investigate the effect of the site environmental factors on the site index using the quantification theory I method. The data used in the analysis were growth factors (stand age, dominant height, etc.) of the 6th national forest resources survey and various site environmental factors of a forest soil map (1:5,000). The average site index value of the R. pseudoacacia stand in Korea was 14 (range, 8 to 18). The environmental factors affecting the site index were parent rock, climatic zone, soil texture, local topography, and altitude. The accuracy of the estimation model using quantification theory I was only 33%. However, the correlation between the site index and the site environmental factors was statistically significant at the 1% level. Results of quantification analysis between site index and site environmental factors revealed that metamorphic and igneous rocks received high grades as parent rocks, climate zones received higher grades than central temperate zone, clay loam and silt loam received high grades in soil texture, and hillside received a high grade in local topography. Analysis of the partial correlation between site topographical factors and forest productivity (site index) found that soil class and altitude were partially correlated to x by 0.4129 and 0.4023, respectively, indicating that these factors are the most influential variables.

• Journal of the Speleological Society of Korea
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• no.88
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• pp.38-44
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• 2008

This study aims to identify the efficiency by applying diverse index to the positions of vertex in the network among the network analysis methods in order to identify the relational location features of caves. The first consideration was about the relational location features according to the linking degree and centrality of cave. The second consideration was about the structural equivalence between caves or between caves and the surrounding tourists attractions. A variety of index examined in this study is very efficient for identifying the positions of caves in the network. Furthermore, the relational location features in consideration of surrounding tourists attractions identified the availability of more objective and quantitative expression. In particular, when there are other caves around a cave, it is also very useful to identify the structural equivalence or comparison with other caves.

• Korean Journal of Agricultural and Forest Meteorology
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• v.9 no.3
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• pp.179-187
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• 2007

This study was conducted to develop site index equations for some pine species by climatic zones based on the relationships between site index and environmental factors. The selected pine species were Pinus densiflora Sieb. et. Zucc., Pinus densiflora for, erecta, and Pinus thunbergii. A total of 28 environmental factors were obtained from a digital forest site map. The influence of 28 environmental factors on site index was evaluated by multiple regression analysis. Four to eight environmental factors were selected in the final site index equation for pine species by climatic zones. The site index equations developed in this study was then verified by three evaluation statistics such as model's estimation bias, model's precision and mean square error type of measure. We concluded that the site index equations for the pine species by climatic Bones were capable of estimating forest site productivity. Based on these site index equations, the amount of productive areas for the species by climatic zones was estimated by applying the GIS technique to digital forest maps.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1244-1247
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• 2015

본 논문에서는 소상공인의 창업 성공을 지원하는 점포 평가 분석 사례를 소개하여 기업의 빅데이터 도입 및 활용을 촉진하고자 한다. 본 사례에서는 카드사 거래 정보, 가맹점 정보, 부동산 가격 정보, 부동산 통계 정보, 감정평가 정보, 조사업무관련 정보 및 인허가 개폐업 정보를 활용해 36만개의 GIS 블록과 GEO 컨텐츠를 생산하여 빅데이터 분석을 실시하였다. 체계적인 분석을 위해 상권 평가 지수, 업종 평가 지수, 입지 평가 지수, 임대료 추정, 매출 추정, 적정면적 추정 등의 상권, 업종, 입지에 대한 지표를 개발하였다. 이를 통해 상가와 상권에 대한 분석 자료를 제공하여 과밀창업의 예방과 신중한 창업의 유도를 통해 창업실패로 유발 될 수 있는 경제적 비용의 감소 효과를 이룰 것으로 판단된다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.3
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• pp.221-228
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• 2013

In areas such as trade area analysis and urban planning, the maturity assessment of central places is important information to be taken into account for rational decision-making. In this study, 3 business areas, typical retail businesses (retail, personal service, food and beverage), are extracted from year 2004 and 2009 phone books, and centrality index and location quotients for 3 business areas are calculated. Using these outputs growth, declination, and maturation of central places are figured out, then comparing and analyzing these results assessment method for central places is proposed. As a result, it is known that the maturity of central place, such as growing, declining, and maturing, can be assessed by comparing the location quotients of 3 retail business areas. In growing central place, location quotient of food and beverage business is much higher than others, and in maturing central place, that of retail business is much higher than others. Assessment results of central places are very useful, as an important index, to determine branch opening or select business area, in trade area analysis.

• The Korean Journal of Applied Statistics
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• v.17 no.1
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• pp.13-26
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• 2004

According to economic growth theory, location configuration of business enterprises engaged in specific industries has spatial affinity. In this research we defined industrial concentration index to measure industry agglomeration using the characteristics of dispersion parameter of negative binomial distribution, and used the industrial concentration index to examine aspect of spatial configuration change. We utilized Census on Basic Characteristics of Establishments of 1995 and 2000 to deduce industrral concentration indices of 7 knowledge-based industries and 9 strategy-based industries of Choongbuk Province and analyzed the aspect of spatial configuration change.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.28-31
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• 2010

본 연구는 대구시의 상업지역의 용도지역변화를 GIS를 사용하여 시대별로 구축하고 이를 분석함으로써 변화의 특성을 고찰함에 그 목적이 있다. 연구의 방법은 도심기능의 분산과 그에 따른 상업지역을 중심으로 한 용도지역의 변화형태 그리고 상업시설의 입지형태를 분석하였다. 이에 따라 분석한 결과 상업지역의 입지에 따른 주변지역의 용도 지역의 변화와 아울러 가로축의 발달과 함께 상업시설의 형태도 선형으로 발달하며 기능을 분산시키는 것을 알 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.602-605
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• 2022

본 연구는 대량의 상권 데이터를 바탕으로 머신 러닝과 딥러닝 분석을 이용하여 최적의 상권 입지를 추천하는 시스템 개발을 목표로 한다. 자영업자들의 오프라인 창업에 있어 개개인의 매장 정보에 기반한 입지 조건 판단은 앞으로의 매출에 중요한 시작점이다. 따라서 상권 정보를 기반으로 미래 매출을 예측하여 최적의 상권 입지를 추천하는 기술이 필요하다. 이를 위해 기존에 선행된 다수의 회귀 기법과 더불어 강하게 편향된 데이터를 레이블링 하여 다중 분류 기법으로도 문제를 접근한다. 최종적으로 딥러닝 모델과 합성하여 더 높은 성능을 이끌어내고 이로부터 편향 데이터 처리 방법과 딥러닝 모델과의 앙상블 중요성에 대해 논의하고자 한다.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.56-70
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• 2020

This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

• Korean Journal of Agricultural and Forest Meteorology
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• v.7 no.2
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• pp.132-140
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• 2005

This study was conducted to develop regional site index equations for main tree species in Gangwon, Gyunggi-Chungcheong, Gyungsang, and Jeolla area of Korea, using environmental and soil factors obtained from a digital forest site map. Using the large data set obtained from the digital forest map, a total of 28 environmental and soil factors were regressed on site index by tree species for developing the best site index equations for each of the regions. The selected main tree species were Larix 1eptolepis, Pinus koraiensis, Pinus densiflora, Pinus thunbergii, and Quercus acutissima. Finally, four to five environmental and soil factors by species were chosen as independent variables in defining the best regional site index equations with the highest coefficients of determination $(R^2)$. For those site index equations, three evaluation statistics such as mean difference, standard deviation of difference and standard error of difference were applied to the data sets independently collected from fields within the region. According to the evaluation statistics, it was found that the regional site index equations by species developed in this study conformed well to the independent data set, having relatively low bias and variation. It was concluded that the regional site index equations by species had sufficient capability for the estimation of site productivity.