DocumentCode :
2127738
Title :
Research on Expression Method of GDP Data Based on GRID
Author :
Zhao, Rong ; Liang, Da-Sheng
Author_Institution :
Chinese Acad. of Surveying & Mapping, Beijing, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
According to space-based socio-economic statistics of resources environment, calamity defense and calamity decrease, and the rapid application of the grid GIS, this paper uses the grid analysis technology and statistical analysis technology, studies the pertinence between the land-use situation and the spatial distribution of GDP through researching the relationships among all kinds of geographical variable, then establishes the spatial distributed model of GDP. On the basis of this model, the author establishes a spatial GDP datasets with 1 km grid of china in 2000 year. The method makes the in-depth application of GIS technology in the field of economic statistics more easily, makes the overlay analysis between the statistical data and other spatial data more easily, achieves the management, the analysis and the display of the statistical information taking advantage of GIS analysis functions efficaciously, and establishes the data foundation for further data mining and assistant decision-making.
Keywords :
economic indicators; geographic information systems; grid computing; statistical analysis; statistical distributions; GDP data; GIS technology; calamity defense; expression method; geographic information system; grid analysis technology; grid computing; gross domestic product; land-use situation; resource environment; space-based socio-economic statistics; spatial distribution; statistical analysis technology; Data mining; Displays; Economic indicators; Environmental economics; Geographic Information Systems; Information analysis; Space technology; Statistical analysis; Statistical distributions; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303078
Filename :
5303078
Link To Document :
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