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Establishment Of The Information System About The Research On Bama Longevity And Study On Spatial Distribution Of Bama Longevity By GIS

Posted on:2011-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:N ZhangFull Text:PDF
GTID:2144360305452593Subject:Occupational and Environmental Health
Abstract/Summary:PDF Full Text Request
Objective: By introducing the Geographical Information System technology (GIS)to the medical field,and establishing Bama longevity research's informa- tion database and geographic information database module, to explore the rela- tionship of Access and GIS softwares, and establish the integrated information platform about the research of Bama longevity, which could manage and display the information of environment, heredity, life style and other aspects.Methods: The Bama longevity research datas were managed by comprehensive utilization of database technology and GIS technology. The Bama longevity research information database was developed with Access 2003 software; the geographic information database module was developed with ArcGIS 9.3 software ;the both was connected by the involved function of ArcGIS 9.3.Results: The Bama Longevity Research Information System is suitable for practical applications, user-friendly and simple for operation. The research datas could be entered, saved , managed and searched by this system easily.Conclusion: The various types of complex datas could be managed systemati- cally and visualized by introducing GIS technology to the establishment about the information database of Bama longevity research, which provides a good and far-reaching significant platform with scientific and systematic research in Bama longevity research. Objective: To research the characteristics of spatial distribution of Longevity in Bama County, and discuss the value and significance of GIS spatial analysis to the study of longevity's distribution.Methods: The thematic map based on the fifth national census in 2000 and the sampling data in 2007 which reflected directly villages'geographical distribu- tion of longevous population(aged 90 and over)among Bama's villages was maked by Mapinfo 8.0 software; several spatial statistic methods including exploratory spatial data analysis,semivariogram function,spatial autocorrela- tion,spatial scan statistic and Kriging interpolation were maked by ArcGIS 9.3,GS 9.0,GeoDa 9.5,Satscan 7.0,so as to find the characteristics of spatial distribution of longevity in Bama.Results: 1. The results of exploratory spatial data analysis are as follow: The longevous population in Bama are not well-distributed but various by district. 2. The fitting results of semivariogram function manifest that goodness of fit is 0.880(R2=0.880),59.4% of total variance is attributed to spatial autocorre- lation.3. The results of Kriging interpolation indicated that the spatial distribution map of longevity areas in Bama country is a good fitness.4. Analysis of spatial autocorrelation: The global Moran's I indicator illustrates that there is cluster with higher rates of longevity in Bama;the regional Gi and LISA analysis illustrate that the north in Bama is higher rate region of longevity,the west and the south is lower relatively rate region.5. Spatial scan statistic: The central coordinate of the first higher rate cluster is Gexian(24.24190E, 107.00650N),and the radius is about 17.25km which covers 21 villages; The central coordinate of the second higher rate cluster is Nongyou(24.15330E,107.22480N),and the radius is about 8.43 km which covers 7 villages.Conclusion: By GIS spatial analysis, Gexian village and Nongyou village are found to be the centers of geographically high rate longevity areas. Their radius are 17.25km and 8.43km. Jushang xiang and Nashe xiang which are located in west and south part of Bama country are relatively low rate longevity areas. The spatial heterogeneity of Bama longevity is mainly decided by spatial autocorrelation. This provides the scientific basis for further research on the Bama longevity formative mechanism.
Keywords/Search Tags:database, GIS, Bama, longevity, spatial statistics, spatial heterogeneity, spatial autocorrelation
PDF Full Text Request
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