• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.102-107
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• 2010

본 연구에서는 2009년 강원도 읍면동 주민등록 데이터와 탐구적 공간데이터 분석 방법의 하나인 Getis - Ord $Gi^*$를 이용하여 강원도 남녀 장수인구의 공간적 분포패턴을 분석하였다. 분석결과는 강원도의 남성인구와 여성인구의 지역적 장수도에 공간적 군집이 존재하며 장수도가 높은 지역의 군집의 경우 남성과 여성 사이에 커다란 차이가 존재함을 보이고 있다. 남성의 경우 장수도가 높은 지역이 영서지역의 접경지역을 중심으로 군집하는 반면 여성의 경우 장수도가 높은 지역이 영동 해안지역 중심으로 군집하여 분포하였다. 이 결과는 장수에 영향을 미치는 환경적(자연환경적, 사회적) 요인이 남녀에 선별적으로 작용하고 있음을 암시한다.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.28-28
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• 2004

본 연구는 1966년 이후 한국의 장수도 변화 현황을 분석한 것이다. 전국 시ㆍ군ㆍ구 단위 인구 통계 자료를 이용하여 65세 이상 인구에 대한 85세 이상 인구 비율을 구하고, 이것이 시간적ㆍ공간적으로 어떠한 변화의 특성을 나타내는지를 살펴보고자 하였다. 연구 결과 첫째, 1966년 이후 우리나라의 장수도 평균값은 지속적으로 상승해 왔음을 알 수 있다. 지역 간 표준편차는 1의 수준에서 비슷하게 나타나고 있다. (중략)

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.479-485
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• 2011

A number of case studies that find distribution of longevity population and influencing factors through the spatial data fusion using GIS techniques are growing. The majority cases of these studies are adopt census administrative boundary data for the spatial analysis. However, these methods cannot fully explain the phenomenon of longevity because there are a variety of spatial characteristics within the census administrative boundaries. Therefore, studies of spatial unit are required that realistically reflect the phenomenon of human longevity. The dasymetric mapping method enables to product of spatial unit more realistic than census administrative boundary map and statistic estimates of small area utilizing diversity spatial information. In this study, elderly population of small area has been estimated within statistically significant level that applied the vector based dasymetric mapping method. Also, the cluster analysis confirmed that the variation of local spatial relationship within census administrative boundary. The result of this study implied that the need for local-level studies of the human longevity and the validity of the dashmetric mapping techniques.

• 가정의 벗
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• v.34 no.11 s.399
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• pp.10-10
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• 2001

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.3
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• pp.40-53
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• 2013

Most of the existing domestic studies to identify the distribution of longevity population and influencing factors oriented confirmatory approach. Furthermore, most of the studies in this research topic simply have used their own definition of spatial unit of analysis or employed arbitrary spatial units of analysis according to data availability. These research approaches can not sufficiently reflect the spatial characteristic of longevity phenomenon and exposed to the Modifiable Aerial Unit Problem(MAUP). This research performed the Exploratory Spatial Data Analysis(ESDA) to identify the spatial autocorrelation of the distribution of longevity population and investigated whether the modifiable areal unit problem in the aspect of scale effect using spatial population data in Korea. We used Si_Gun_Gu and Eup_Myeon_Dong as two different spatial units of regional longevity indicators measured. Then, we applied Getis-Ord Gi* to investigate the existence of spatial hot spots and cold spots. The results from our analysis show that there exist statistically significant spatial autocorrelation and spatial hot spots and cold spots of regional longevity at both Si_Gun_Gu and Eup_Myeon_Dong levels. This result implies that the modifiable areal unit problem does exist in the studies of spatial patterns of longevity population distribution. The demand for longevity researches would be increased inevitably. In addition, there were apparent differences for the global spatial autocorrelation and local spatial cluster which calculated different spatial units such as Si_Gun_Gu and Eup_Myeon_Dong and this can be seen as scale effect of MAUP. The findings from our analysis show that any study in this topic can mislead results when the modifiable areal unit problem and spatial autocorrelation are not explicitly considered.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.30-30
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• 2004

본 연구는 우리나라에서 85세 이상(초고령 노인) 비율이 65세 이상(노인인구) 비율 가운데 가장 높은 장수지역이라 할 수 있는 전라도 4군의 남녀 각각 60명 총 120명을 직접 방문하여 면접 조사한 것이다. 본 조사연구는 전반적으로 초고령 노인의 특성을 발견하는 것과 더불어 성별간 차이 및 장수요인을 규명하는 것을 목적으로 시행되었다. 조사분석에서 발견된 초고령 노인의 주요특성과 성별차이 및 장수요인은 다음과 같다. (중략)

• 건강소식
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• v.36 no.11
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• pp.16-19
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• 2012

파키스탄 히말라야 산맥에 둘러 싸인 훈자(Hunza)마을은 90세 이상의 건강한 노령 인구가 많은 장수 마을로 유명한 곳이다. 세계 3대 장수 마을로 100세 고령 시대의 표본이 되는 훈자마을 사람들의 잘 먹고 건강하게 사는 비결은 과연 무엇일까.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.3
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• pp.57-63
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• 2012

The ordinary least square (OLS) regression model is assumed that the relationship between distribution of longevity population and environmental factors to be identical. Therefore, the OLS regression analysis can't explain sufficiently the spatial characteristics of longevity phenomenon and related variables. The geographically weighted regression (GWR) model can be representing the spatial relationship of adjacent area using geographically weighted function. It also characterized which can locally explain the spatial variation of distribution of longevity population by environmental characteristics. From this point of view, this study was performed the comparative analysis between OLS and GWR model for ecological factors of longevity existing studies. In the results, GWR model has higher corresponded to model than OLS model and can be accounting for spatial variability about effect of specific environmental variables.

• Journal of the Korean association of regional geographers
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• v.11 no.2
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• pp.187-210
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• 2005

The purpose of this study is to examine the spatial characteristics of the longevity phenomenon and long-live areas in Korea where a rapid aging process is undergoing. Population data from 1966 to 2000 at the county level are analyzed to understand aging process and changes of longevity degree by regions. The relationship between the degree of longevity and a region's natural environments and distance to a metropolis has been analyzed to understand regional factors of longevity. The findings from the study are summarized as follows. Firstly, the rural regions in Honam show the highest degree of longevity in the nation. Secondly, the areas of the high degree of longevity has recently shifted and/or expanded from the islands and seashore areas of southwestern region to inland mountainous areas around Soback Mountain. Southern islands and seashore regions used to show the nation's highest degree of longevity in the 1970s. Thirdly, the analysis of regional environment factors indicated that longevity has more related to a precipitation and an average altitude than temperature. Fourthly, in order to identify the longevity factors in urban areas, social and economic factors should be considered beyond the natural environmental factors.

• Korea journal of population studies
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• v.26 no.1
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• pp.1-30
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• 2003

This paper attempts to explore the effects of ecological and socioeconomic factors on the level of mortality and the changing trends of such effects during the period of 1990∼2000. For this purpose the population census data and micro-data from the vital statistics for years 1990, 1995 and 2000 were used. As indicators of mortality, the crude death rate(CDR), the standardized death rate(SDR) and the longevity rate were calculated for 170 'Si' s and 'Gun's. Using GIS, this paper first presents the mortality and longevity maps for years 1990, 1995 and 2000. Then ANOVA and regression analyses are carried out in an effort to generalize the effects of ecological and socioeconomic factors on the CDR, the SDR and the longevity rate. When the mortality and longevity maps are examined, three indices of mortality are found to be markedly high in the southwest coastal regions of Cholla-Nam-Do. By contrast, Seoul and Pusan metropolitan areas show substantially low level of mortality and longevity in these indices. It is also found that the regional differentials in the SDR and the longevity rate show a trend of becoming smaller after 1990. The research, however, does not find any linear relationship between the SDR and the longevity rate. The causal mechanisms of the two indices are found to be different. The results of the ANOVA and the regression analysis reveal that the locational factors of both mountainous and farming regions tend to increase the CDR and SDR while both coastal and farming regions disclose a tendency of increasing the longevity rate. The level of statistical significance of these analytical results is found to be weaker when socioeconomic factors such as education, income, marital status, availability of medical care, and sanitary conditions of the region are taken into account. The regional differentials in the mortality level seem to have a clear relationship not only with the socioeconomic factors but also with the age structure influenced by the age selectivity of migration during the past 40 years.