不同比例尺农用地分等图件数据自动汇总技术研究

基于GIS手段，在农用地分等成果省级汇总过程中，从迅速实现半自动制图综合、部分关键参数和系数的获取，快速自动实现图层间图斑上下级关系索引、保持各农用地图层数据之间的等别不缺失等几个关键过程的技术层面对不同比例尺农用地分等成果汇总的快速自动实现方法进行研究。着重对最近邻法的原理与方法进行了阐述，并应用其对农用地图件进行了处理，实现只有少量人为参与的不同比例尺农用地分等图件图斑的计算机自动匹配过程。结果表明，研究成果可以在提高农用地图件自动综合处理能力、快速建立不同图层间图斑对应关系、各级别图件的等别序列一致性调整等方面工作朝着自动化流程处理、精确化表达的方向更进一步。

Key technology for the provincial auto-integration of the attribute of different scale farmland using classification maps

In this paper, the authors discussed the technologies for semiautomatic cartography integration rapidly, acquired the key parameters and coefficients, established the indexes of the map unit between different scale maps, kept grade consistency of different scale maps. In these processing, the most important technology is to realize the corresponding relationship between different map units from different maps. The EucAllocation method which differs from the Euclidean distance method is introduced and expatiated in detail. Euclidean distance is calculated from the center of the source cells to the center of each of the surrounding cells. True Euclidean distance was calculated to each cell in the distance functions. The shortest distance to a source was determined and if it was less than the specified maximum distance, the value was assigned to the cell location on the output raster. The EucAllocation raster records for each cell with the identity of the closest source cell. A source is any cell or set of cells with the same value or belonging to the same zone. If a zone is disconnected, the value assigned to the cells allocated to that zone is the distance of the closest region of the zone. These methods were used in the case for Guangdong Province and a perfect result was obtained. These methods can improve the ability and efficiency to deal with the classification map synthetically, find the relationship between the map units of different scales and make the grade consistent between the maps of different scales.