2014
DOI: 10.15682/jkiha.2014.20.1.045
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A Study on the Floor Plan Type and the Spatial Composition of Standard Mental Health Centers in Seoul

Abstract: Purpose: The purpose of this study is to provide data on the basis for architectural planning of floor plan type and spatial composition by analysing standard mental health centers in Seoul. Methods:Data were collected through literature research, field surveys, and expert interviews to 22 standard mental health centers in Seoul. Results: The results of this study could be summarized as follows;

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Cited by 3 publications
(2 citation statements)
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“…On the other hand, the global Moran's I index cannot identify a local structure of spatial association because it measures the spatial autocorrelation of the entire areas as the object of research [20]. To solve this, Anselin (1995) developed the LISA (local indicator of spatial association) index to measure the spatial association at the local level [21]. In the case of the local Moran index, if the weighted average between values of a particular area and values of adjacent areas appears similarly, it indicates a positive autocorrelation, whereas if the weighted average between values of a particular area and values of adjacent values is very different, it indicates a negative autocorrelation.…”
Section: Spatial Autocorrelationmentioning
confidence: 99%
“…On the other hand, the global Moran's I index cannot identify a local structure of spatial association because it measures the spatial autocorrelation of the entire areas as the object of research [20]. To solve this, Anselin (1995) developed the LISA (local indicator of spatial association) index to measure the spatial association at the local level [21]. In the case of the local Moran index, if the weighted average between values of a particular area and values of adjacent areas appears similarly, it indicates a positive autocorrelation, whereas if the weighted average between values of a particular area and values of adjacent values is very different, it indicates a negative autocorrelation.…”
Section: Spatial Autocorrelationmentioning
confidence: 99%
“…This occurs because they have not had time to fully explore possible career paths during their adolescence, and/or because their decision to enter medical school is based on their social and economic status and demands from their surroundings, such as their families [ 1 - 3 ]. The second issue relates to the fact that physicians’ roles vary socially, and the number of graduates in specializations other than clinical practice is increasing [ 4 , 5 ]. This suggests that students are making career decisions not before, but after entering medical school, which further suggests that medical students are learning about career paths other than clinical practice during their medical training.…”
Section: Introductionmentioning
confidence: 99%