• Journal of the Korean Geographical Society
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• v.48 no.1
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• pp.56-71
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• 2013

The purpose of this study is to examine the spatial distributional characteristics of industries among the Korean cities and to conduct industry classification using the findings. For this purpose, 82 cities in Korea are investigated with respect to 15 industrial sectors. In the analysis, concentration of and association between industries are recognized using both geographic and non-geographic measures. In order to measure concentration and association, locational Gini coefficient, Moran's I, correlation coefficient, and bivatiate Moran are used and 15 industrial sectors are classified based on these estimates. The findings reveal that the chemical sector shows strong geographic and non-geographic concentrations while the assembly, machinery and electronics sector only shows a strong geographic concentration. Printing and publishing, wholesale, and business services show a strong non-geographic association with other sectors. The remaining ten sectors show no explicit distribution patterns among cities. This study contributes to providing the methodology that analyzes the spatial distribution patterns of industries in a comprehensive way and is able to provide useful information in implementing industrial location policies including industrial clusters.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.1
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• pp.39-63
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• 2010

As foreign immigrants are rapidly increasing, how they without previous knowledge and experience adjust themselves to local circumstances where they come to live becomes a major social issue. In order to analyze their adjustment process, this paper suggests a model which consists of relationships with local environment and people on the one hand, and of geographical knowledge and imagination on the other. The analysis of questionnaire survey based on the conceptual model suggests some findings. As there are considerable differences in the extent of their local adjustment and felt difficulties among immigration types, nationalities, and dwelling regions, foreign immigrants‘ policies should be devised proper for their type and characters.

• Communications for Statistical Applications and Methods
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• v.17 no.1
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• pp.39-45
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• 2010

As the value of environment is increasing, the water quality has been a matter of interest to the nation and people. Research on water quality has been widely studied, but focused on geographical characteristic and river characteristics like inflow, outflow, quantity and speed of water. In this paper, two approaches to measure the similarity of sampling sites by using water quality data are discussed and compared with two-years empirical data of Yongdam-Dam. The existing method has calculated their similarities with principal component scores. The proposed approach in this paper use correlation matrix of water quality related variables and MDS for measuring the similarity, which is shown to be better in the sense of being clustering which is identical to geographical clustering since it can consider the time series pattern of water quality.

• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.376-387
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• 2017

This paper attempts to analyze the geographical characters of Twitter data and presents analysis potentials for social network analysis in geography. First, this paper suggests a methodology for a topic modeling-based approach in order to identify the geographical characteristics of tweets, including an analysis flow of Twitter data sets, tweet data collection and conversion, textural pre-processing and structural analysis, topic discovery, and interpretation of tweets' topics. GPS coordinates referencing tweets(geotweets) were extracted among sampled Twitter data sets because it contains the tweet place where it was created. This paper identifies a correlated relationship between some specific topics and local places in Jeju. This correlation is closely associated with some place names and local sites in Jeju Island. We assume it is the intention of tweeters to record their tweet places and to share and retweet with other tweeters in some cases. A surface density map shows the hotspots of tweets, detecting around some specific places and sites such as Jeju airport, sightseeing sites, and local places in Jeju Island. The hotspots show similar patterns of the floating population of Jeju, especially the thirty-year age group. In addition, a topic modeling algorithm is applied for the geographical topic discovery and comparison of the spatial patterns of tweets. Finally, this empirical analysis presents that Twitter data, as social network data, provide geographical significance, with topic modeling approach being useful in analyzing the textural features reflecting the geographical characteristics in large data sets of tweets.

• Journal of Applied Biological Chemistry
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• v.58 no.4
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• pp.345-348
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• 2015

Dried Rehmannia Radix Preparat, produced in different geographic origins of Korea and China, were investigated for the trace element contents using X-ray fluorescence spectrometry. When the estimated data for 35 kind of elements including K, P, S, Cl, Si, Al, Fe, Sn, etc on 143 samples were analyzed by canonical discrimination technique, the average classification correct rate was 92.3% and the significance was less than 0.0001. In case of reducing the number of elements for statistic analysis from 35 to 8 and to 3, the correct rates were also reduced to 88.1% and to 84.6%. The correct rate for Chinese samples ranged from 94.6-96.0%, while those for Korean ranged from 72.5-89.9%.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1317-1325
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• 2014

The study focused on analyzing spatial sampling by minimizing autocorrelation of spatial based on spatial and geographical data. The study concluded two different ways of minimizing autocorrelation. First, it was important to use suitable spatial sampling method to alienate spatial autocorrelation from spatial or geographical data. The shear distribution rate of public transportation in Seoul resulted in high rate of autocorrelation. However, the study showed samples eliminated autocorrelation when samples were extracted with reasonable distance(above 400m) apart. Without spatial sampling the distortion of spatial data leads to false results; therefore, spatial sampling is indispensable. Second, factors which fluctuates shear distribution of public transportation spatial sampling changed before and after spatial sampling. This was caused by incapable of controling inherent spatial autocorrelation of the data.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.81-82
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• 2003

제주도 서단의 고산 상층기상대는 한반도와 중국대륙, 그리고 대양으로부터의 물질이동의 중간 경로에 위치한 지리적인 요인에 의하여, 동아시아 지역의 대기오염물질의 특성을 파악하기 유리한 장소라 할 수 있다. 2001년부터 계절에 따라 이 지역에서 Micro Pulse Lidar(MPL)를 이용한 에어러솔 관측이 수행되었고, sunphotometer 관측도 병행되어 에어러솔의 공간분포 및 광학적 특성을 파악할 수 있었다. (중략)

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.11a
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• pp.326-327
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• 2002

제주도 고산은 지역자체내의 대기오염물질이 거의 없는 우리나라의 대표적인 배경농도지역이며, 지리적 특성상 동북아시아에서 대기오염물질의 장거리이동 특성을 규명하는데 적합한 지역으로 알려져 있다. 고산에 대한 활발한 연구를 통해 장기간 TSP 측정자료가 모아졌으나, 아직까지 그 해석에 대한 통계적인 분석과 이동특성에 관한 해석을 위한 역궤적 분석은 미흡하다. 이에 본 발표에서는 1992년 3월부터 2002년 2월까지 고산에서 측정한 입자상 무기이온 성분의 농도를 장기간의 역궤적 분석결과와 함께 통계적인 방법으로 해석하고자 하였다. (중략)

• Proceedings of the KGS Conference
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• 2002.11a
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• pp.65-67
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• 2002

정보통신의 발달에 따라 변화된 생활양식은 사람들을 걸어 다니면서 직접 구매하던 쇼핑방식에서 전자상거래로, 은행창구에서 번호표를 뽑고 기다리며 업무를 보았던 은행업무를 사이버 뱅킹으로 대체하게 하였다. 이렇듯 정보통신의 발달은 시간과 공간의 제약을 뛰어넘어 새로운 개념의 사회공간을 형성하게 되었고, 특히 주목할 점으로 최근에 등장한 사이버교육 공간을 들 수 있다.(중략)

• 어항어장
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• s.89
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• pp.48-53
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• 2010

본현의 연안부는 지리적 특성으로 바다로부터 풍요로운 혜택을 받고 있는 반면, 톱모양의 해안선으로 되어 있어 만의 안쪽에서 해일의 에너지가 집중하여 파가 높아지는 일이 있다. 이 때문에 본현 연안부는 예부터 많은 해일 피해를 받아 왔으며 최근 100년간 피해가 특히 많았던 해일중 반수 이상이 본현에 관계된 해일이며, 본현을 덮친 해일도 많은 것을 알 수 있다.