| Geographic National Census data with high precision, large amount of data and other characteristics, especially the surface coverage and surface features elements of plaque, the plaque single slope data up to tens of millions. The surface area of Geographic National Statistics index calculation is carried out using the patch element superimposed layers and DEM, and considering the actual terrain surface elements along the surface of the earth to the cumulative area. Surface area was calculated with vector data and raster data calculation which can be viewed as computing intensive calculations, at the same time the need for frequent read DEM and vector data make it as data intensive computing. The statistical analysis on the geographic conditions required to be completed in a short period of time, so the computational efficiency of the proposed was high demands.For a number of basic statistical analysis and data intensive computing intensive basic statistical indicators, this paper design and realize the optimization model to calculate the spatial parallelization based on geographical conditions. This model uses the TPL thread level parallel computing technologies and parallel pipeline to achieve single and mixed parallel mode parallel technology cluster. Through the experimental comparison, multi process calculation efficiency can make full use of the multi-core CPU, the computation time significantly shortened.In the model, this paper puts forward and realizes the geographical conditions of large data area calculation optimization algorithm. This algorithm uses the Simpson integral algorithm to compute surface area and data storage scheme based on Mongo DB. Through the examples, the computational efficiency on the same computer with the method is faster than the traditional serial method about 20 times. The calculation accuracy of the proposed model in which geographical conditions and a substantial increase in the overall computation speed, effectively save time of statistical analysis of geographical conditions.Finally, this paper introduces the application of geographical conditions and optimization model of basic statistical software. |
