• Title/Summary/Keyword: 공간적 집중

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Study of the Spatial Distribution of Major Non-timber Forest Products - Focusing on Chestnut, Astringent Persimmon, and Oak Mushroom - (주요 단기소득임산물의 공간적 분포 특성에 관한 연구 - 밤, 떫은감, 표고버섯을 대상으로 -)

  • KIM, Won-Kyung;LEE, Jung-Min;KWON, Soon-Duk;JEON, Jun-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.2
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    • pp.73-85
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    • 2016
  • Systematic and efficient forestry management is required because of the long-term low profitability of timber production and forest products. In this situation, non-timber forest products can be the solution to secure stable sources of income for workers in the forestry field. However, the existing studies for non-timber forest products focus on effective production and economic analysis and provide plans for increasing the income and improving the marketing system. Therefore, this research intends to analyze the spatial distribution as well as quantitative concentration of non-timber forest production. To achieve this goal, this study examined the regional concentration and dispersion of non-timber forest production in 2001, 2007, and 2014 using the coefficient of localization(CL) and location quotient(LQ) and investigated the change in spatial distribution using spatial statistics. The production of chestnuts generally showed a concentrated pattern in 2014 based on the outputs of the CL and LQ, but the result of spatial autocorrelation indicated a decrease in the spatial concentration. In addition, astringent persimmon showed more concentration from the output of CL than oak mushroom, but Moran's I suggests the opposite. Therefore, it is necessary to examine the spatial distribution to understand and improve the marketing system and intensify the production of forest products.

한반도 남서지역 여름철 강수량의 시.공간 특성

  • Lee, Yeong-Seop;Kim, Hye-Jung;Yeom, Jun-Geun;Jo, Cheon-Ho;Jeong, Hyo-Sang
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.10a
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    • pp.115-121
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    • 2003
  • 최근 빈번한 여름철 집중호우로 인하여 인명과 재산에 큰 피해를 보고 있다. 이러한 여름철 집중호우에 대한 시, 공간적 변동 특성 분석의 필요성이 증가되고 있다. 이에 최근에 빈번히 집중호우가 발생하는 한반도 남서 지역에 18개 관측 지점에 대해 1981년부터 2000년까지 시간별, 연도별 집중호우의 빈도수를 조사하였다. 분석결과, 최근에 집중 호우의 빈도는 증가하였으며 1일 집중호우 빈도는 해안지방이 많았으며, 시간당 집중호우 빈도는 해안지역 뿐만 아니라 산악 또는 내륙 지역에서도 증가하였다. 또한 시간별 집중호우는 해안지역의 경우에는 새벽에 많았으나 산악 또는 내륙 지역은 오후에 빈도수가 많았다. 월별 집중호우는 8월, 7월, 9월, 6월 순으로 많았다. 8월이 가장 많은 이유는 장마 종료 후 태풍의 영향이 컸음을 알 수 있다. 이러한 분석 결과를 기초로 하여 향후 한반도 남서 지역 집중 호우 발생에 대한 시..공간적 변동의 기후학적 특성에 대한 이해력 향상에 도움이 될 것이다.

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A Study on Dispersed Concentration pattern of Biotechnology Companies Location: Case of Pharmaceutical enterprises (바이오기업의 분산적 집중형 입지패턴에 관한 연구: 제약기업을 사례로)

  • Choi, Yu-Mi;Kang, Myoung-Gu
    • Journal of the Economic Geographical Society of Korea
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    • v.14 no.4
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    • pp.671-683
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    • 2011
  • The technical development of transportation and communication increases freedom of location choice. This higher freedom allows to company can pursues bigger profit than before. Company's separated spatial configurations tend to go to most optimal location, so some places showed unexpected agglomeration. This study conducted to prove "dispersed concentration" for specific example, pharmaceutical enterprises, in real business world. As a result, separation of spatial configuration clearly observed as product output goes bigger and R&D's depth goes deeper. And spatial concentration of each function was found. Most headquarters are located in Seoul, R&D centers make agglomeration at some spaces. Plants' location concentrated until 1990s, but, in 2000s, plants expand out of metropolitan area.

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국가지리공간정보 유통체계의 통합방안에 관한 연구

  • Seo, Yong Won;Jin, Hui Chae
    • The Magazine of the IEIE
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    • v.29 no.12
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    • pp.50-50
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    • 2002
  • 최근 GIS 정보의 효율적인 관리에 대한 필요성이 강조되면서, 정보 기술을 활용한 지리공간정보의 체계적 관리의 필요성이 증가되고 있고 이에 따라, 건설교통부ㆍ정보통신부 등 관련 부처별로 국가 지리공간정보 유통체계를 구축하게 되었다. 그러나, 대상 지리공간정보의 특성에 따라 집중형 및 분산형의 공간정보유통체계가 개별적으로 구축되어 있어 유통체계의 혼란을 야기하게 되었다. 본 연구에서는 집중형 및 분산형 유통체계의 특성에 대해 살펴보고, 유통체계의 통합을 위한 방안을 제시하였다.

국가지리공간정보 유통체계의 통합방안에 관한 연구

  • 서용원;진희채
    • The Magazine of the IEIE
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    • v.29 no.12
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    • pp.1454-1463
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    • 2002
  • 최근 GIS 정보의 효율적인 관리에 대한 필요성이 강조되면서, 정보 기술을 활용한 지리공간 정보의 체계적 관리의 필요성이 증가되고 있고 이에 따라, 건설교통부ㆍ정보통신부 등 관련 부처별로 국가 지리공간정보 유통체계를 구축하게 되었다. 그러나, 대상 지리공간정보의 특성에 따라 집중형 및 분산형의 공간정보유통체계가 개별적으로 구축되어 있어 유통체계의 혼란을 야기하게 되었다. 본 연구에서는 집중형 및 분산형 유통체계의 특성에 대해 살펴보고, 유통체계의 통합을 위한 방안을 제시하였다.

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Method Extracting Observation Data by Spatial Factor for Analysis of Selective Attention of Vision (시각의 선택적 주의집중 분석을 위한 공간요소별 주시데이터 추출방법)

  • Kim, Jong-Ha;Kim, Ju-Yeon
    • Science of Emotion and Sensibility
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    • v.18 no.4
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    • pp.3-14
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    • 2015
  • This study has extracted observation data by spatial factor for the analysis of subjects' selective attention with the objects of public space at the entrance of subway stations. The methods extracting observation data can be summarized as the following. First, the frequency analysis by lattice was prevalent for those methods, but there is a limitation to the analysis of the observation data. On the contrary, the method extracting observation data by factor applied in this study can make it clear if any sight is concentrated on any particular factors in a space. Second, the results from the extracted data corresponding to the observation area can be objectified while the method setting up the observation area by applying the radius of fovea. Third, time-sequential trace of observation results of relevant factors was possible through hourly analysis of spatial factors. The consideration of the results of "corresponding spatial scope" which is the object of this study will reveal that the more the observation time, the less the degree of attention it receives. Fourth, the frequency of observation superiority was applied for the analysis of the sections with selective attention by time scope; this revealed that men and women had intensive observation in time scope I (52.4 %) and in time scope IV (24.0 %), respectively.

A Study on the Measurement of Industry Agglomeration for the Census on Basic Characteristics of Establishments (사업체 기초통계조사에서 산업활동의 공간집적도 측정 연구)

  • 김윤수;정연수;김병천
    • 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.

Spatial analysis of financial activities in the Korean urban system (한국 금융의 공간적 특색에 관한 연구)

  • Choi, Jae Heon
    • Journal of the Korean Geographical Society
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    • v.28 no.4
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    • pp.321-355
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    • 1993
  • This paper focuses on the geographical pattern of financial activities in the Korean urban system during 1975-1990, based on the assumption that financial activities can reveal control points in Korea's urban economy. In terms of spatial evolution of financial insitutions, different locational characteristics are revealed among different types of financial institutions, implying the role of urban hierarchy. Financial resources are highly concentrated in the capital region, Seoul and Kyonggi Province. Both centralization trends into the large metropolitan cities and relative declines of medium and small cities within the Korean urban system, have been experienced over the study period. Financial activities sustain relatively stable hierarchical structure in the urban hierarchy. Regarding the financial flows, dominant flow zones centered on major metropolitan cities are identified, clearly showing a prominant role of Seoul in financial flows in the entire urban system.

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Study on the Characteristics of Spatial Relationship between Heat Concentration and Heat-deepening Factors Using MODIS Based Heat Distribution Map (MODIS 기반의 열 분포도를 활용한 열 집중지역과 폭염 심화요인 간의 공간관계 특성 연구)

  • Kim, Boeun;Lee, Mihee;Lee, Dalgeun;Kim, Jinyoung
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1153-1166
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    • 2020
  • The purpose of this study was to analyze the spatial correlation between the heat distribution map of the satellite imaging base and the factors that deepen the heat wave, and to explore the heat concentration area and the space where the risk of future heat wave may increase. The global Moran's I of population, land use, and buildings, which are the causes of heat concentration and heat wave deepening, is found to be high and concentrated in specific spaces. According to the analysis results of local Moran's I, heat concentration areas appeared mainly in large cities such as metropolitan and metropolitan areas, and forests were dominant in areas with relatively low temperatures. Areas with high population growth rates were distributed in the surrounding areas of Gyeonggi-do, Daejeon, and Busan, and the use of land and buildings were concentrated in the metropolitan area and large cities. Analysis by Bivarate Local Moran's I has shown that population growth is high in heat-intensive areas, and that artificial and urban building environments and land use take place. The results of this research can lead to the ranking of heat concentration areas and explore areas with environments where heat concentration is concentrated nationwide and deepens it, so ultimately it is considered to contribute to the establishment of preemptive measures to deal with extreme heat.

A Study on Water Level Forecasting by Heavy Rainfall using Neural Network (신경망 모형을 이용한 집중호우시 수위예측에 관한 연구)

  • Jun, Kye-Won;Lee, Ho-Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.291-291
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    • 2011
  • 우리나라는 기상학적 지리학적 영향으로 여름철에 강우가 집중하여 내리며 최근에는 짧은 시간에 많은 양의 강우가 내리는 집중호우의 발생빈도가 증가하고 있다. 이러한 집중호우는 하천의 수위를 증가시켜 하천범람 및 제방붕괴의 위험을 가져와 많은 재산과 인명피해를 가져올 수 있다. 하천 수위의 예측은 기존에 물리적, 개념적 모형을 통해 강우-유출을 해석하는 과정에서 주로 다루어 졌다. 그러나 자연현상인 강우와 유출관계를 규명하는 과정은 지역의 다양한 특성, 강우의 시 공간적 분포 등 복잡하고 다양한 인자를 고려해야 한다는 문제와 부딪쳐 많은 어려움을 겪어왔다. 따라서 본 연구에서는 복잡한 비선형 과정들의 모형화가 가능한 인공 신경망 모형을 이용하여 수위예측 모형을 구성하고 100mm이상의 강우가 연속해서 내린 호우사상을 훈련시켜 집중호우 발생시 수위예측에 활용하고자 하였다. 이를 위해 구성된 인공신경망 모형을 금강유역 보청천에 적용한 결과 중소하천유역인 보청천 유역의 홍수위 예측에 적용이 가능함을 확인하였다.

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