Aim:The aim of our study was to understand the geographic characteristics of Japanese communities and the impact of these characteristics on suicide rates.
Methods:We calculated the standardized mortality ratio from suicide statistics of 3318 municipalities from 1972 to 2002. Correlation analysis, multiregression analysis and generalized additive model were used to find the relation between topographic and climatic variables and suicide rate. We visualized the relation between geographic characteristics and suicide rate on the map of Wakayama Prefecture, using the Geographic Information System.
Results:Our study showed that the geographic characteristics of each community are related with its suicide rate. The strongest factor among the geographic characteristics to increase the suicide rate was the slope of the habitable land.
Conclusions:It is necessary to take the characteristics of each community into consideration when we work out measures of suicide prevention. Visualization of the findings on the local map should be helpful to promote understanding of problems and to share the information among various parties in charge of suicide prevention.
ObjectiveThe number of suicides in Japan has remained high for many years. To effectively resolve this problem, firm understanding of the statistical data is required. Using a large quantity of wide-ranging data on Japanese citizens, the purpose of this study was to analyze the geographical clustering properties of suicides and how suicide rates have evolved over time, and to observe detailed patterns and trends in a variety of geographic regions.MethodsUsing adjacency data from 2008, the spatial and temporal/spatial clustering structure of geographic statistics on suicides were clarified. Echelon scans were performed to identify regions with the highest-likelihood ratio of suicide as the most likely suicide clusters.ResultsIn contrast to results obtained using temporal/spatial analysis, the results of a period-by-period breakdown of evolving suicide rates demonstrated that suicides among men increased particularly rapidly during 1988–1992, 1993–1997, and 1998–2002 in certain cluster regions located near major metropolitan areas. For women, results identified cluster regions near major metropolitan areas in 1993–1997, 1998–2002, and 2003–2007.ConclusionsFor both men and women, the cluster regions identified are located primarily near major metropolitan areas, such as greater Tokyo and Osaka.
We propose a data acquisition middleware called DAQ-Middleware. The DAQ-Middleware will be able to make development of DAQ software easy which runs on many PCs. It consists of RT-Middleware based DAQ components and DAQ studio. The RT-Middleware is a software framework for robot systems and will be an international standard. The DAQ-Component is one of the RT-Components. The DAQ studio is a tool used for development, debugging and operation of the DAQ-Components. We added a new function called RawTCP to improve the performance of data transfer. The performance evaluation is shown.The DAQ-Middleware will be used for neutron experiments in J-PARC, Tokai, Japan.
In this paper, we apply cluster analysis to "Okayama parking data" that is one of the spatial point patterns data that includes locations and the fare structure of car parking space in Okayama central area. This study classifies the characteristics of small areas through Okayama parking data as well as visualizes the results of the cluster analysis. We develop web applications that connect the results of a cluster analysis and overlay objects including points of balloons and rectangles of small areas over a map of Okayama central area.
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