Regional Multi-scale Spatial Data Integration Method Based on GIS Technology
As the volume of regional multi-scale spatial data is relatively large,with different sources,formats,character-istics and properties,the organic concentration of data in logic or physics is relatively difficult,which can easily lead to congestion of integration paths and a decrease in integration efficiency.Hence,a regional multi-scale spatial data integration method based on GIS technology was proposed.The mining architecture of regional multi-scale spatial data was built by us-ing GIS technology,and a multi-scale spatial database was constructed by combining the data transformation matrix.Accord-ing to the state set of congestion window in multi-scale spatial databases,different strategies were used to control conges-tion in the data integration path,and the multi-scale spatial data integration path was selected by determining the ideal in-tegration efficiency.The compactness between spatial data feature vectors on different integration paths was calculated,and the data integration function was constructed by combining the dissimilarity threshold with the spatial data weight to real-ize the regional multi-scale spatial data integration.The experimental results show that the given method,with and without human intervention,controls the integration delay within 7 minutes and 5 minutes,respectively,resulting in high data inte-gration efficiency.
GIS technologydata integrationdatabase modeldissimilarity thresholdmultiscale space
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