• 농촌계획
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• 제23권3호
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• pp.1-12
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• 2017

The purpose of this study is to reveal network potential among agricultural villages focused on landscape and amenity resources. For this study, we conducted Social Network Analysis (SNA) utilizing existing landscape resource database. As a result of the study, major landscape types shared among villages were found for each city. For example, agricultural and residential landscapes were identified as major types for Danjin city. Add to major landscape resources, in Dangjin city, Habduk village were recognized as a core. Seokmun, Daehoji, Woogang, and Sunseong villages were widely found as the sub core group. For Seosan city, Jigok, Palbong, and Kobuk villages were widely recognized as core group. Most of villages which indicated the highest degree centrality were superior in terms of the number of total landscape resources as well as landscape type diversity. These results can be useful for initial planning process when considering major theme for landscape-based network organization. Also, this information will be helpful for planning stage through the specification of the potential role of each village in overall network.

• 한국경영과학회지
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• 제37권4호
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• pp.211-223
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• 2012

This study purposed to evaluate the influences of rival hospitals on the number of patients who visited the a study territory hospital. Spatial analysis technique was used to measure the impact of rival hospitals in study region. Selected hospitals were all medical school affiliated hospitals which were located in Daejeon metropolitan city and Chungchungnamdo. Patient data was collected from the claims data of the study hospital, and the number of inpatient and outpatients who visited the study hospital between January and June in 2008 were calculated on the smallest administrative district, Eup, Myeon, and Dong, in study region. To control the differences of regional characteristics among Eup, Myeon, Dong, socio-economic variables (total population, number of people aged over 65, number of basic livelihood security recipients, distance from the study hospital to the centroid point of each Eup, Myeon, Dong, number of business, and number of employees) were included in analysis model. These variables were collected from the annual year book of city as well as county located in study region. Cluster analysis classified the study region into three groups by using the difference of between th actual number of inpatient/outpatient and the predicted number of inpatient/outpatient in Eup, Myeon, and Dong. Most areas around the rivalry hospitals were categorized into same group. Multiple regression analysis indicated that areas around rivalry hospitals had statistically significantly negative relationship with the number of inpatients and outpatients who visited the study hospital. As the buffer size was increased from 5Km to 10Km, the standardized regression coefficients were decreased. These study results confirmed that rivalry hospitals in region had negative impacts on the performance of hospitals. It suggests that hospitals will require not only to select their location to minimize the effects of rivalry hospitals, but also to establish their strategy to cope with the rivalry's threats in their region.

• 한국균학회지
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• 제41권1호
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• pp.47-51
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• 2013

국내 자연환경의 효모 균총을 확인함으로써 유용한 효모자원을 확보하기 위한 연구의 일환으로 대전 계족산, 충남 오서산 그리고 전북 백암산 지역에 서식하는 야생화들을 채집하여 이들로부터 효모들을 분리, 동정하였다. 대전의 계족산에서 수집한 야생화로부터는 10종에 속하는 12균주의 효모들을 분리하였고, 충남의 오서산에서 수집한 야생화로부터는 10종의 효모들 17균주를 분리하였다. 또한 전북 백암산의 야생화로부터 모두 24종에 속하는 38균주의 효모들을 분리하였다. 계족산, 오서산, 그리고 백암산에서 모두 발견된 효모는 Cryptococcus 속, Pseudozygoma 속, Rhodotorula 속, Sporobolomyces 속에 속하는 9종의 효모들이었다. 특히 3개 지역에서 수집한 야생화들로부터 Cryptococcus 속에 속하는 Cryptococcus aureus만이 모두 분리되었는데, 이 결과는 각 지역마다 독특한 효모 다양성을 보이고 있음을 시사하는 것이다.