• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.4-4
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• 2015

기압 분포의 공간 구조를 이해하고, 그것의 변동을 살펴보는 것은 풍속의 경향을 파악하는 것은 물론, 장기적인 측면에서는 기후변화를 예측하기 위한 기본 과정이라 할 수 있다. 본 연구에서는 장기간에 걸쳐 공간적으로 연속적인 관찰이 가능한 20CR(20th Century Reanalysis) 원격탐사 재분석 자료의 지오포텐셜(geopotential) 값을 활용하여 동아시아 지역 기압의 공간 분포를 살펴보았다. 그 결과 특정 범위 내에서 계산되는 기압의 편차 값과 해당 범위를 정의하는 수평 거리 사이의 관계(변동도; variogram)가 멱함수를 따르는 것을 확인하였다. 흥미로운 점은 지난 반세기 동안 멱함수의 계수 값이 풍속과 동일한 패턴으로 변화하는 반면, 지수 값 (프랙탈 차원)은 일정하게 유지되고 있다는 사실이다. 또한, 2000년 이후로는 계절 별로 한랭한 기단 (겨울철)과 온난한 기단 (여름철)이 번갈아가며 동아시아 지역으로 세력을 확장하는 경향을 보였으며, 그로인해 전반적인 기압의 편차가 증가하였다.

• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.259-266
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• 2010

Forest fire occurrence in Korea is highly related to human activities and its spatial distribution shows a strong spatial dependency with cluster pattern. In this study, we analyzed spatial distribution pattern of forest fire with point pattern analysis considering spatial dependency. Distributional pattern was derived from Ripley's K-function according to causes and distances. Spatially clustered intensity was found out using Kernel intensity estimation. As a result, forest fires in Korea show clustered pattern, although the degrees of clustering for each cause are different. Furthermore, spatial clustering pattern can be classified into two groups in terms of degrees of clustering and distance. The first group shows the national-wide cluster pattern related to the human activity near forests, such as human-induced accidental fire in mountain and field incineration. Another group shows localized cluster pattern which is clustered within a short distance. It is associated with the smoker fire, arson, accidental by children. The range of localized clustering was 30 km. Beyond of this range, the patterns of forest fire became random distribution gradually. Kernel intensity analysis showed that the latter group, which have localized cluster pattern, was occurred in near Seoul with high densed population.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.4
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• pp.377-397
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• 2022

The number of public libraries in Korea has been increasing. However, the focus was on quantitative growth, while it did not have much interests in whether its growth trend are have deviations by region, and if that is a fact, what factors caused such a disparity. For this reason, this study analyzes spatial distribution of public libraries in Korea and its affecting factors of regional gap. As a result, public libraries are constantly distributing in the metropolitan area and the distribution of public libraries showed deviations by region. The results of analysis regarding the determinants of public libraries distribution, rate of population growth, the number of businesses and financial independence rate are found to have a positive effect but local taxes per capita are not. Especially economic power of region and financial ability of a local government are key factors of regional disparity. It shows empirically that the supply of public libraries has been determined by the convenience of suppliers.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.3
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• pp.77-84
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• 2015

The key objective of this research is to review the effectiveness of spatial regression to identify the influencing factors of spatial distribution patterns of floating population. To this end, global and local spatial autocorrelation test were performed using seoul floating population survey(2014) data. The result of Moran's I and Getis-Ord $Gi^*$ as used in the analysis derived spatial heterogeneity and spatial similarities of floating population patterns in a statistically significant range. Accordingly, Geographically Weighted Regression was applied to identify the relationship between land use attributes and population floating. Urbanization area, green tract of land of micro land cover data were aggregated in to $400m{\times}400m$ grid boundary of Seoul. Additionally public transportation variables such as intersection density transit accessibility, road density and pedestrian passage density were adopted as transit environmental factors. As a result, the GWR model derived more improved results than Ordinary Least Square(OLS) regression model. Furthermore, the spatial variation of applied local effect of independent variables for the floating population distributions.

• Journal of the Korean Geographical Society
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• v.37 no.1
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• pp.15-40
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• 2002

This study is an attempt to grasp the spatial patterns and characteristics in the freight flows based on freight quantity data in 1997. The spatial background for the study is the Capital Region, which plays an important role in regional economics and industrial development. The methodology in the research used factor analysis to produce a functional region. The study selected three categories of freight that account for more than 60 percent of freight flows, chemical industrial goods, light industrial goods, and metal machinery industrial goods. The target analysis unit is divided into 36 zones. The common characteristic of the three categories is that they are concentrated at one specific region than are dispersed regionally. And in particular, the remarkable feature is that the central region of the study is Seoul. Usually the eminent regions of nows were made where environment of distribution facilities is good but these were made in a less than good environment. I think a reason is that facilities were uneven distribution.

• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.35-47
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• 2018

This research aims to examine the spatial patterns of vacant housings and the factors determining housing vacancy in Daegu using individual-level building DB. The results of the spatial pattern analysis showed a donut shaped-spatial concentration of vacant housings in the central areas of the city. The results of logistic regression analysis revealed that not only individual building characteristics, such as building area, number of floors, and building age, but also socio-economic characteristics of community, such as urban redevelopment district, number of adjacent vacancies, recent population change, and ratio of elderly, are important factors affecting housing vacancies.

• Journal of the Korean association of regional geographers
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• v.16 no.2
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• pp.137-153
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• 2010

The issue of spatial equity in public healthcare services is an important issue in rural areas with lower healthcare resources. This study investigates spatial accessibility to public healthcare services by public transport, focusing on bus travel in Yeoju-gun, Gyeonggi-do. We comprehensively analyzed the spatial patterns of accessibility using the measures based on spatial interaction, and compared them with the accessibility patterns by car travel. As a result of analysis, the spatial disparity between the central part of Yeoju-gun (lower accessibility) and its peripheries (higher accessibility) was identified. More specifically, the area and population of lower accessibility areas are greater than those of higher accessibility areas, and the difference in the accessibility values between higher and lower accessible areas is considerably large. Moreover, the accessibility patterns appears somewhat different according to two different travel modes. In particular, about 20% of the entire area presented the opposite patterns between two travel modes. Interestingly, less populated peripheral areas are more included in higher accessible areas by car.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.81-86
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• 2005

이 논문에서는 산불 발생의 패턴을 예측하기 위해 데이터 마이닝의 클러스터링 기법을 이용하여 산불 데이터를 그룹화하고 그 결과를 이용하여 산불 데이터의 상관관계를 분석하는 방법을 제안하였다. 즉, 클러스터링 기법을 이용하여 산불 데이터를 사용자가 원하는 수의 그룹으로 분류하고, 생성된 산불 데이터 클러스터 모델을 이용하여 새로운 유형의 산불패턴을 예측 할 수 있도록 하였다. 또한 결과 클러스터의 생성을 위해 이전의 산불 분포 데이터를 저장 관리하여 클러스터 간의 상관관계 분석을 통해 시퀀스를 생성하였고, 생성된 각각의 클러스터 시퀀스를 통합하여 클러스터들의 시퀀스를 추출하여 산불이 발생한 이후의 향후 발생 가능한 산불 유형을 예측하기 위한 방법을 제공하였다. 이는 과거에 발생된 산불의 유형뿐만 아니라 새로운 형태의 산불 유형 분류나 분석에 이용 가능하다.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.45-55
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• 2018

The purpose of this study was to provide the necessary data to explore the development plans of consumer organizations by looking at the spatial distribution of consumer organizations. This is because community-based consumer organizations can propose concrete measures to solve consumer problems more effectively. In this study, data of 11 consumer organizations and 815 branches were collected and analyzed using local indicators of spatial distribution and spatial lag model. First, it was difficult to find patterns according to the geographical characteristics of the spatial distribution of consumer organizations. Second, consumer organizations were more distributed in areas with large populations and businesses and large areas. Third, there is a discrepancy between the demand and supply of consumer organizations when compared with the number of consumer counseling. Based on this, it is necessary to constantly seek concrete development plans by supplementing the qualitative data on the activities of consumer organizations.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.2
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• pp.402-419
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• 2014

This study attempts to investigate the spatial characteristics of private tutoring markets for adults which have been expanded rapidly with labor market changes in Korea. In particular, For the purpose, we examine thoroughly various indies of labor markets and private tutoring markets for adults in Korea in first and then analyze the spatial characteristics. We classify private tutoring institutes for adults into two categories by job-statuses and education levels, and analyze the spatial distribution patterns of the attendants of the classes. In order to understand the spatial characteristic of their distributions, we distinguish whether there exist the spatial autocorrelation or not by applying Moran's I values for each categories in first. We also examine the spatial cluster patterns by Hot spots analysis utilizing $G^*$ statistics. Multiple linear regression models are developed for each category to explain the relationships between the spatial distributions of private tutoring institutes and geographical variables.