• Asian Journal of Innovation and Policy
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• 제9권2호
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• pp.223-239
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• 2020

It is important for urban planners and policy makers to understand complex, diverse urban demands and social structure, but this is not easy due to lack of data that represents the dynamics of residents at micro-geographical level. This paper explores how to create population data at at a micro-level by allocating population data to building. It attempted to allocate population data stored in a grid layer (100 meters by 100 meters) into a building footprint layer that represents the appearance of physical buildings. For the allocation, this paper describes a systemic approach that classifies grid cells into five prototypical patterns based on the composition of residential building types in a grid cell. This approach enhances allocation accuracy by accommodating heterogeneity of urban space rather than relying on the assumption of uniform spatial homogeneity of populations within an aerial unit. Unlike the methods that disaggregate population data to the parcel, this approach is more applicable to Asian cities where large multifamily residential parcels are common. However, it should be noted that this paper does not demonstrate the validity of the allocated population since there is a lack of the actual data available to be compared with the current estimated population. In the case of water and electricity, the data is already attached to an individual address, and hence, it can be considered to the purpose of the validation for the allocation. By doing so, it will be possible to identify innovative methods that create a population distribution dataset representing the comprehensive and dynamic nature of the population at the micro geographical level.

• 수산경영론집
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• 제36권1호
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• pp.81-101
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• 2005

This article is to estimate the fishing frequency function in Korean recreational fishery with respect to socio-economic characteristics of anglers. First, the study described the characteristics of the entire angler population on the view points of 9 socio-economic variables. And then, the study divided the total angler population into three groups of in-land, sea, and mixed angler populations in order to investigate the differences in their characteristics. The study could confirm the existence of differences in regions, size of regions, and educational levels between the in - land and the sea angler populations by testing heterogeneity in the frequency table. The fishing frequency function is estimated using Poisson regression model in order to accomodate the count data(non-negative discrete random variable) aspects of the fishing frequency. However, the model specification error is found due to overdispersion of data. The model exhibits the lack of goodness of fit. The negative binomial regression model is adopted to cure the overdispersion of the data as an alternative estimation methodology. Finally, the study can confirm overdispersion does not exist in the model any more and the goodness of fit improved significantly to the reasonable level. The results of estimation of fishing frequency population modeled by the negative binomial regression models are following. The three variables of region, sex, and education have effects on the decision making process of fishing frequency in the case of in-land recreation fishery. On the other hand, the three variables of sex, age, and marriage status do the same job in the case of sea angler population. Among the left-over variables, both income and use of Internet variables now affect on the process in mixed angler population. Finally, the results of whole angler population show that all of the previous variables are proven to be statistically significant due to the summation of data with all three sub-groups of angler population.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권12호
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• pp.597-603
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• 2001

In the mathematical model for the transmission dynamics of HIV infection described in previous papers, the population under consideration is assumed to be homogeneous community of homosexual males for which the parameter x represents the constant rate at which individual members of the population acquire new sexual partners. This is a gross oversimplification since it is well known that individuals vary widely in their levels of sexual activity and in this papers the heterogeneous model is modified to allow for this variation. The pattern on the epidemic character of HIV, the causative agent of AIDS, was analysed by heterogeneous-mixing model. The computer simulation was performed using real date.

• Genomics & Informatics
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• 제6권1호
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• pp.29-31
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• 2008

Single nucleotide polymorphisms (SNPs) in the promoter region of the IL-1B (interleukin-1) gene have been implicated in a variety of diseases that have an inflammatory component. However, there has been significant heterogeneity among study results, especially between Caucasian and Asian populations. Recently, it has been reported that SNPs in the IL-1B gene affect transcription, according to haplotype context, and genetic association studies may be more informative if functional SNP haplotypes of population are analyzed. Therefore, we estimated the distribution of IL-1B promoter haplotypes in 433 Koreans using the three major functional IL-1B promoter SNPs (IL-1B -1464, -511, and -31) and compared the results with those in Caucasians. The difference in IL-1B promoter haplotype frequency between Korean and Caucasian populations was statistically significant. The potentially more inflammatory haplotypes had higher frequencies in Koreans when compared with Caucasians. These Korean haplotype data will be useful for future association studies between IL-1B SNPs and disease risk.

• Communications for Statistical Applications and Methods
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• 제21권2호
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• pp.169-181
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• 2014

Marginalized random effects models (MREM) are commonly used to analyze longitudinal categorical data when the population-averaged effects is of interest. In these models, random effects are used to explain both subject and time variations. The estimation of the random effects covariance matrix is not simple in MREM because of the high dimension and the positive definiteness. A relatively simple structure for the correlation is assumed such as a homogeneous AR(1) structure; however, it is too strong of an assumption. In consequence, the estimates of the fixed effects can be biased. To avoid this problem, we introduce one approach to explain a heterogenous random effects covariance matrix using a modified Cholesky decomposition. The approach results in parameters that can be easily modeled without concern that the resulting estimator will not be positive definite. The interpretation of the parameters is sensible. We analyze metabolic syndrome data from a Korean Genomic Epidemiology Study using this method.

• 한국어업기술학회:학술대회논문집
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• 한국어업기술학회 2003년도 춘계 수산관련학회 공동학술대회발표요지집
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• pp.369-369
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• 2003

Hemocytes in marine bivalves play important immunological roles in discrimination, opsonization and phagocytosis of foreign materials as a defense mechanism. In this study we report the flow cytometric implications to investigate the immune parameters such as the compositional and the functional characteristics of hemocytes isolated from the Manila clams, Ruditapes philippinarum. Heterogeneity of the hemocytic cell population was determined by the forward scatter (FSC) and side scatter (SSC) cytometric profile which showed three populations: granulocytes, hyalinocytes and small agranular cells. In addition, phagocytosis rate was measured after adding fluorescent-labeled particles. The data were initially analysed for two-parameters: FSC and SSC, then the fluorescent (FL 1) frequency distribution histogram of the hemocyte population was subsequently obtained.

• 응용통계연구
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• 제22권2호
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• pp.365-373
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• 2009

1990년대에 접어들면서 우리나라는 남아선호사상, 사회경제적 발전, 인구정책 등으로 인해 태아 성감별이나 불법 낙태가 사회적으로 확산되어 출생 성비의 불균형 현상이 초래되었다. 이러한 출생 성비의 불균형 현상을 모니터링 하기 위해서 시계열 분석 또는 지역 차이 분석 등의 많은 연구들이 있었지만 시간과 공판을 동시에 분석에 포함시키지 못했다는 단점이 있다. 본 연구는 시간과 지역성을 동시에 고려하여 출생 성비의 불균형 현상을 분석하였다. 행정구역상으로 구분된 234개의 구, 시, 군 지역에 대하여 2000년과 2001년도의 각 지역별 셋째 자녀 이상의 남녀 출생아 수 자료를 이질적 모집단을 가정하여 이항분포의 혼합모형에 적용시키는 방법을 제안한다. 혼합모형의 위치모수와 가중치, 상관계수 추정은 EM 알고리즘을 통해 수행되었고, ArcView GIS를 이용하여 지역의 이질성을 그림을 통해 표현하였다.

• 디지털융복합연구
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• 제16권2호
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• pp.151-156
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• 2018

이 연구의 목적은 TPM을 대한 주제로 작성된 논문 중 검증이 가능한 18편의 논문을 대상으로 메타분석을 실시하는 것이다. 분석을 위해 5개의 가설을 설정하고 각 연구논문에서 제시한 t값을 투입하여 CMA로 메타분석을 실시하였다. 분석 결과 4개 가설에 있어서 I-square 값이 모두 75%이상인 것으로 나타나 이질성이 매우 큰 것으로 분석되었다. 따라서 모든 연구의 모집단 효과크기는 같다는 귀무가설은 기각되었다. 이질성의 원인은 분석에 사용된 개별연구의 응답자분포, 연구조건, 연구시기, 연구지역 등의 연구특성이 다르기 때문이다. 이러한 경우 효과크기의 차이를 분석하기 위해서는 연구특성별로 구분할 수 있는 개별연구들의 요약 통계량이 필요하다. 그러나 개별연구들에서는 효과차이를 분류할 수 있도록 하는 요약통계량이 제시되지 않아서 이질성의 원인에 대한 분석을 실시할 수 없는 것이 아쉬운 점이라 하겠다.

• 한국지역사회생활과학회지
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• 제16권2호
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• pp.61-73
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• 2005

This study aims to examine the socio-demographic heterogeneity of community participation in rural Korea. Data was collected through interviews with 1,870 rural householders and housewives who have lived in Up or Myen as an administrative unit of rural communities, and analyzed by the SPSS/PC Win V.10 program. The statistical techniques used for this study were frequency and percentile. The major findings of this study were as follows. Firstly, the extent to which rural people have participated in community organizations were: cooperative groups, $80.8\%$; religious groups, $20.6\%$; learning groups, $12.7\%$; political groups, $9.8\%;$ civil groups $6.7\%$; and voluntary groups, $5.3\%$. Whereas the numbers were high for community participation in groups related to agricultural production, participation in civil and voluntary groups were lower. Secondly, it showed that people who lived in urbanized and high population density areas were more likely to participate in community groups. The diversity of community organizations was different according to the level of rurality. Thirdly, farm householders were more likely to participate in religious, civil and voluntary groups than non-farm householders. Fourthly, people with higher education, females, those in the 40 to 50 age groups were more likely to participate in community organizations. Fifthly, even though men are more likely to participate in political parties, women were more likely then men to agree that women should participate in political parties. This empirical study could support the results of Sundeen (1988) and Wilson and Musick (1997) in that education was related positively to community participation. In addition, we concluded that community participation in a rural development process has two main considerations: philosophical and pragmatic. This implies that there is room for government to enable and facilitate 'true' community participation. That can be done through policy reform which creates a permissive environment for community decision-making and input, in addition to simply supporting community development through financial assistance.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.177-177
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• 2023

The impacts of dams on transboundary flow are complex and challenging to project and manage, given the potential moderating influence of a broad range of anthropogenic and natural factors. This study presents a global meta-analysis of 168 studies that examines the effect magnitude of dams on downstream seasonal, annual flow, and hydrological extremes risk on 39 hotspot transboundary river basins. The study also evaluates the impact of 13 factors, such as climate, basin characteristics, dams' design and types, level of transboundary cooperation, and socioeconomic indicators, on the heterogeneity of outcomes. The findings reveal that moderators significantly influence the impact of dams on downstream flow, leading to considerable heterogeneity in outcomes. Transboundary cooperation emerges as the key factor that determines the severity of dams' effect on both dry and wet season's flows at a significance level of 0.01 to 0.05, respectively. Specifically, the presence of water-supply and irrigation dams has a significant (0.01) moderating effect on dry-season flow across basins with high transboundary cooperation. In contrast, for wet-season flow, the basin's vulnerability to climate extremes is associated with a large negative effect size. The various moderators have varying degrees of influence on the heterogeneity of outcomes, with the aridity index, population density, GDP, and risk level of hydro-political tension being the most significant factors for dry-season flow, and the risk level of hydro-political tension and basin vulnerability to climate extremes being the most significant for wet-season flow. The results suggest that transboundary cooperation is crucial for managing the impacts of dams on downstream flow, and that various other factors, such as climate, basin characteristics, and socioeconomic indicators, have significant moderating effects on the outcomes. Thus, context-specific approaches are necessary when predicting and managing the impacts of dams on transboundary flow.