• 한국지역지리학회지
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• 제22권4호
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• pp.761-773
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• 2016

이 연구는 1800년대 중반부터 대한제국까지의 시간 범위에서 한반도를 관찰한 여러 서구인들의 기록들을 인구지리학적 관점에서 고찰한 것이다. 주요 연구 내용은 다음과 같다. 첫째, 여러 서구인들에 의한 기록 중에서 한반도 인구에 관한 내용을 포함하고 있는 약 20여 편의 문헌들을 찾았고, 둘째 해당 문헌에서 한반도 인구와 관련된 서술들을 확인하였는데, 주요 내용은 한반도 전체 인구수, 지역별 인구수, 분포, 밀도, 그리고 이동에 관한 것이었다. 마지막으로 당시 그들이 인구를 매개로 한반도와 그 위의 삶의 모습들을 어떻게 인식하고 있었는지를 해석하였다.

• 한국발생생물학회지:발생과생식
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• 제23권3호
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• pp.297-304
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• 2019

The higher fragment sizes (>2,100 bp) are not observed in the two C. spp. populations. The six oligonucleotides primers OPA-11, OPB-09, OPB-14, OPB-20, OPC-14, and OPC-18 were used to generate the unique shared loci to each tonguesole population and shared loci by the two tonguesole populations. The hierarchical polar dendrogram indicates two main clusters: Gunsan (GUNSAN 01-GUNSAN 11) and the Atlantic (ATLANTIC 12-ATLANTIC 22) from two geographic populations of tonguesoles. The shortest genetic distance displaying significant molecular difference was between individuals' GUNSAN no. 02-GUNSAN no. 01 (genetic distance=0.038). In the long run, individual no. 02 of the ATLANTIC tonguesole was most distantly related to GUNSAN no. 06 (genetic distance=0.958). These results demonstrate that the Gunsan tonguesole population is genetically different from the Atlantic tonguesole population. The potential of PCR analysis to identify diagnostic markers for the identification of two tonguesole populations has been demonstrated. As a rule, using various oligonucleotides primers, this PCR method has been applied to identify polymorphic/specific markers particular to species and geographical population, as well as genetic diversity/polymorphism in diverse species of organisms.

• 한국패류학회지
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• 제32권4호
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• pp.255-261
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• 2016

The selected seven oligonucleotides primers BION-32, BION-33, BION-35, BION-38, BION-40, BION-46 and BION-58 generated the shared loci, specific loci, unique shared loci to each population and shared loci by the three T. granosa populations in Beolgyo, a Chinese site and Wonsan, respectively. The bandsharing value between individuals' no. 03 and no. 04 was 0.816, which was the highest value identified within the Beolgyo population. The primer BION-35 generated the most loci (a total of 70), with an average of 10.0 in the Wonsan population. On average, seven oligonucleotides primers generated 16.1 specific loci in the Beolgyo population, 22.3 in the Chinese population and 39.3 in the Wonsan population. 126 unique shared loci to each population, with an average of 18 per primer, were observed in the Beolgyo population, 63 loci, with an average of 9 per primer, were observed in the Chinese population, and 49 loci, with an average of 7 per primer, and were observed in the Wonsan population. The oligonucleotides primer BION-32 generated 14 unique loci to each population, which were identifying each population in the Beolgyo population. Interestingly, every primer had not distinguished the shared loci by the three populations, major and/or minor fragments of sizes, which were identical in almost all of the samples. As regards average bandsharing value (BS) results, individuals from Beolgyo population ($0.717{\pm}0.057$) exhibited higher BS values than did those from Wonsan population ($0.552{\pm}0.104$) (P < 0.05). The dendrogram resulted from truthful seven oligonucleotides primers, representing three genetic clusters comprising group I (BEOLGYO 01, 02, 03, 04, 05, 06 and 07), group II (CHINESE 08, 09, 10, 11, 12, 13 and 14) and group III (WONSAN 15, 16, 17, 18, 19, 20 and 21). In three T. granosa populations, the longest genetic distance (0.874) displaying significant molecular difference was also between individual no. 02 within the Beolgyo population and individual no. 12 within the Chinese population. Relatively, individuals of the CHINESE population were fairly closely related to those of the WONSAN population.

• 한국지리정보학회지
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• 제12권2호
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• pp.120-131
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• 2009

본 연구는 다핵구조를 형성하고 있는 대도시의 도시공간구조 진단을 위해 도심 및 부도심의 인구분포상의 구심력 및 유효범위의 변동성을 측정하였다. 이를 위해 부산광역시를 대상으로 1995년부터 2005년까지 5년 간격으로 도심 및 부도심의 인구구심력의 유효범위 변화를 측정하고자 5km 단위로 범위를 확장하여 인구밀도함수 중 음지수함수를 활용한 결정계수 값의 변동성을 분석하였다. 이를 통해 인구분포에 대한 공간적 영향권역의 변동성을 파악하여 도심 및 부도심의 생성, 성장, 쇠퇴 등의 진행과정에 따른 각 과정별 도심 및 부도심의 인구구심력의 유효범위와 도심 및 부도심간의 충돌과정에서의 유효범위 변화과정을 분석하였다. 분석결과를 요약하면 중앙동은 지속적인 결정계수의 감소를 보이고 있으며 서면(부전동)은 설명력이 큰 변화없이 유지되고 있는 것으로 나타났다. 도심으로부터 5km씩 거리를 늘려 인구밀도함수를 적용한 경우에도 부전동의 경우는 10km이후부터 중앙동은 15km구간 이후부터 대체로 증가하였다. 전체적으로는 부산의 인구가 감소추세임에도 불구하고 지속적인 분산화 단계인 것으로 나타나 보다 효율적인 도시공간구조를 형성하기 위해 도심 및 부도심지역의 도심기능강화와 인접지역의 양호한 주거지역 공급이 필요한 것으로 판단된다. 본 연구의 결과는 도시공간구조의 변동성이 갖는 구체적인 공간적 차원의 정보를 제시하여 효율적 공간구조의 재편을 위한 정책적 접근의 기초자료로의 활용이 기대된다.

• 한국지리정보학회지
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• 제23권3호
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• pp.68-84
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• 2020

본 연구에서는 경상남도 창원시를 대상으로 노인인구 분포지역의 공간적 특성과 폭염과의 관계를 분석하였다. 이를 위해 통계청의 인구센서스 자료와 환경부 토지피복도, Landsat 8 지표면온도, 기상청의 폭염일수 자료를 활용하였다. 노인인구 분포의 공간적 특성은 토지이용특성을 고려하여 K-mean 군집화 분석을 통해 총 5개 유형으로 분류하였다. 공간유형별 노인인구 특성은 도시화된 유형(cluster-3)에서 노인인구의 수가 많았으나, 농촌지역과 산림지역에 분포하는 유형(cluster-1, cluster-2)에서는 노인인구의 구성 비율이 높은 것으로 나타났다. 지표면온도와 폭염일수 특성에서는 도시지역에서 지표면온도가 가장 높았으나 폭염일수는 농촌지역이 가장 많았다. 노인인구 분포지역의 공간유형에 따른 폭염 특성을 분석한 결과, 농촌지역 면적이 많은 cluster-2가 15.95일로 가장 높았고, 도시화된 유형인 cluster-3은 9.41일로 가장 낮았다. 즉, 도시지역에 거주하는 노인인구보다 농촌지역에 거주하는 노인인구가 폭염에 더욱 노출되어 있으며, 피해가 가중될 것으로 예상된다. 본 연구의 결과는 여름철 폭염 취약지역의 효과적인 관리와 사전 예방을 위한 다양한 정책방안을 마련하는데 기초적인 자료로 활용될 수 있을 것이다.

• 한국지리정보학회지
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• 제27권1호
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• pp.12-28
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• 2024

본 연구는 제주도의 주요 관광지별 COVID-19 전후 관광객 유동인구 변화 추세를 공간분석을 통하여 확인하고, 이를 통하여 관광객 유동인구 패턴 변화에 대한 이해를 하고자 한다. 제주도의 성산읍과 안덕면을 연구지역으로 선정하였으며, 연구기간은 COVID-19 발생전 1년과 발생후 2년으로 설정하였다. 공간분석을 위하여 이동통신 유동인구 데이터를 정제 및 가공하여 유동인구 분포와 유동인구 증감 데이터를 산출하였으며, 이를 공간데이터화 하여 주요 관광지의 위치데이터와 중첩분석을 실시하였다. 분석결과 실내 관광지와 소규모 시설은 COVID-19 직후 유동인구가 감소하였으며, 개방된 해안지역 또는 대규모 시설의 경우 유동인구 감소가 적거나 오히려 유동인구가 증가한 것으로 확인되었다. 결론적으로 관광개발에서 관광시설 특성에 따른 유동인구의 변화를 파악할 필요가 있으며, 관광지 개발시 팬데믹과 같은 위험상황에 대응할 수 있는 관광시설 및 전략의 개발이 필요하다.

• Journal of Korean Neurosurgical Society
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• 제61권1호
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• pp.105-113
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• 2018

Objective : In respect of the health and safety of the public, universal access to health care is an issue of the greatest importance. The geographic distribution of doctors is one of the important factors contributing to access to health care. The aim of this study is to assess the imbalances in the geographic distribution of neurosurgeons across Korea. Methods : Population data was obtained from the National Statistical Office. We classified geographic groups into 7 metropolitan cities, 78 non-metropolitan cities, and 77 rural areas. The number of doctors and neurosurgeons per 100000 populations in each county unit was calculated using the total number of doctors and neurosurgeons at the country level from 2009 to 2015. The density levels of neurosurgeon and doctor were calculated and depicted in maps. Results : Between 2009 and 2015, the number of neurosurgeons increased from 2002 to 2557, and the ratio of neurosurgeons per 100000 populations increased from 4.02 to 4.96. The number of neurosurgeons per 100000 populations was highest in metropolitan cities and lowest in rural areas from 2009 to 2015. A comparison of the geographic distribution of neurosurgeons in 2009 and 2015 showed an increase in the regional gap. The neurosurgeon density was affected by country unit characteristics (p=0.000). Conclusion : Distribution of neurosurgeons throughout Korea is uneven. Neurosurgeons are being increasingly concentrated in a limited number of metropolitan cities. This phenomenon will need to be accounted when planning for a supply of neurosurgeons, allocation of resources and manpower, and the provision of regional neurosurgical services.

• 보건행정학회지
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• 제6권2호
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• pp.58-90
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• 1996

This study provides an empirical analysis of location competition for demand maximization by central place theory among physicians in nonmetropolitan areas of Korea. The results show that the primary care physicians distribute themselves evenly from urban communities to rural communities. The subspecialists, however, cluster together in major cities rather than decentralize themselves in rural counties. This study establishes the three statistical models : Primary care physicians, subspecialist physicians, and total physicians. Two models of primary care physicians and total physicians have a strong significance in multiple regression analysis (p=-.0001). The primary care model explains approximately 45% of the variation and the total physicians model explains approximately 70% of the variation in physician/1,000 population ratios across national counties. The subspecialist physicians model analysze the tobit regreassion because of the left consored and truncated values(57 cases = 0). In all three models, analysis of the coefficiencts for physician centralization degrees in the 0- to 5- and 5- to 10-km rings around the core county reveals each a positive and negative association betwee these degrees and the physician/1,000 population ratios in the core county. Also, the results provide moderate evidence that the relationship between clinic physicians and community hospitals is competitive, and the relationship between clinic physicians and pharmaceutists is synergistic. This suggests that public policy makers and local self-governing bodies must take an active role to ensure procider availability and the regional health planning in all nonmetropolitan areas of Korea.

• 한국병원경영학회지
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• 제18권2호
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• pp.15-32
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• 2013

Few public health researchers have paid research attention to the location of medical institutions in Korea. Previous studies were published in geography journals, and relied on limited data in terms of geographic regions and the type of medical institutions. This study utilized nationwide data covering 8 types of medical institutions. We obtained data from Health Insurance Review and Assessment Service and National Population and Housing Census. The correlation coefficients of resident, daytime, university-graduate population, and the population of different age groups (fewer than 15, 15~64, 65 or more) were compared to understand their relative association with the location of medical institutions. Medical clinic, dental clinic, oriental medical clinic, and pharmacy, all of which are almost completely operated by private sector, showed strong positive correlation with population. Hospital-level medical institutions, which are operated by both public and private sector, had moderate positive correlation. Daytime population and university-graduate population, rather than resident population, were more correlated with the location of medical clinics. The correlation coefficients of the population of 15~64 age group and the location of medical institutions were greater than that of other age groups. The results showed that daytime and university-graduate population are more important than resident population to explain the location of medicalrelated facilities. The results also suggests that the population of age groups (especially, 15~64) might be one of important influence factors in the location of medical institutions.

• Journal of Life Science
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• 제10권1호
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• pp.14-19
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• 2000

Variation at 25 allozyme loci in Korean wateralder (Alnus hirsuta Rupr.) from nine distinct populations was measured to estimate the amount and pattern of genetic diversity and population structure. The mean genetic diversity within population was 0.166. Korean alder populations have slightly high levels of genetic diversity compared to those present in associated temperature-zone species and two Canadian alder species. Among population s genetic differentiation accounted for an significant 9% of the total variation. High gene flow(Nm=2.63) was observed. Analysis of fixation indices, calculated for all polymorphic loci in each population, showed a substantial deficiency of heterozygotes relative to Hardy-Weinberg expectations. The mean GST value A. hirsuta in Korea (GST = 0.087) is similar to those of A. rogosa in Canada (GST = 0.052). These low values of GST in two countries. reflecting little spatial genetic differentiation, may indicate extensive gene flow (via pollen and/or seeds) and/or recent colonization. These factors reduce the effect of geographic isolation of breeding and the chance for genetic divergence. A pattern of increasing is observed with increasing rainfall per year. Regression analysis indicates that 54% (F = 4.67) of the variability observed can be explained by this relationship.