Title | ||
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A GIS-based spatial management and analysis system for rural socio-economic statistic data |
Abstract | ||
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With the rapid development of database technique and computer technology nowadays, it is no longer a difficult problem to manage mass statistical data with computer and database system. However, from the statistical mode and time series of rural socio-economic statistical survey, we know that the statistical data have both spatial and temporal attribute, so the traditional systems have no enough ability to manage and analyze the statistical data with spatiotemporal attribute. In this paper, on the basis of the former research and the real demands of rural socio-economic statistic department, four key techniques about the construction of spatial management and analysis system for rural socioeconomic statistic data were designed. Based on the statistical spatio-temporal database, historical statistical data spatio-temporal division, statistical model library, exploratory spatial statistical analysis method techniques, the integrative operational system was realized for spatiotemporal data management, analysis and thematic mapping or expression. It could be utilized in many aspects of operational work of rural socio-economic statistic administration. © 2010 IEEE. |
Year | DOI | Venue |
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2010 | 10.1109/IGARSS.2010.5653022 | International Geoscience and Remote Sensing Symposium (IGARSS) |
Keywords | Field | DocType |
GIS,Socio-economic,Spatial analysis,Spatial management,Statistic data | Data science,Data mining,Geographic information system,Data modeling,Statistic,Computer science,Operational system,Thematic map,Statistical model,Data management,Computer technology | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-4244-9564-1 | 0 | 0.34 |
References | Authors | |
2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian Lian | 1 | 0 | 0.34 |
Xiaojuan Li | 2 | 0 | 1.69 |
Huili Gong | 3 | 88 | 29.37 |
Yanbing Wang | 4 | 5 | 4.33 |
CanKun Yang | 5 | 0 | 0.34 |