Research On Vector Data Fusion Technology Of The Forest Resources

According to the different application purpose, space vector data of the same area tends to use different spatial data standards, specific data model and the specific space object classification system for repeated collection. This is not only causes huge waste of human and financial resources, but also multi-semantic, multi-space-time, multi-scale, different storage formats, and the difference of the data model and storage structure of the spatial data and so on.In order to make full use of the existing information, reduce the high cost of data collection, according to the different application requirements, using different methods of data fusion has positive significance.On the basis of the detailed discussion of vector data fusion research background and significance, combined with the relevant principles of geographic information systems as well as the common methods and frameworks of vector data integration, this research uses two periods of forest management inventory data of Babu district, Hezhou, Guangxi Province and forest tenure reform data with forest management inventory data of Pingnan,Guigang, Guangxi Province as the experimental data for forestry vector data fusion research. For geometric position fusion of two periods of forest management inventory data using the vector data grid transformation of the center point method-the maximal area method-multi-scale grid method. Attribute data fusion based on the integration of existing attributes in2009. For geometric position fusion of forest tenure reform data and forest management inventory data using consolidation of the small polygon of overlay analysis, respectively, the maximal area merger, the maximum edge length of merging and the small polygon merging method based on fuzzy set. Reclassified the the existing attribute of forest management inventory data as the basis for the attribute data, and using the right weight for area, edge length and shape coefficients of the three methods to adjust the attribute data with many times.Data statistics and analysis showed that:the maximal area method of the vector data grid transformation can solve the following three categories, which the center point method can't. In the case of the same grid size it can reduce the loss of accuracy of data, but relative to the first two methods, the vector data grid multi-scale grid method can reduce data redundancy under the premise of ensuring the data precision; the small polygon merging method based on fuzzy set is significantly superior to other methods to reduce the loss of accuracy, and the method of which takes shape coefficients as the right weight is the best method of data adjustment.Fitting the model:Y=9.1833-0.071X-5.0304In (S)+0.0393X In (S).Where Y is the loss of precision, S is the land of average plaque size, X represents the size of the grid.Fusion a set of two periods of forest management inventory data fusion vector surface, laid the foundation for the interconnection, relevance and combination analysis of the two periods data attributes; Generate a vector surface layer which fused the forest tenure reform data and forest management inventory data, and this layer in the geometrical position has slight changes with the forest tenure reform data and forest management inventory data,the key attribute data, such as stock volume, the change area of the forest are without loss of accuracy, and have a larger reference significance for sub-compartment division of forest management inventory after forest tenure reform.