基于GDAL的制图综合容错校正算法研究

Map Generalization Fault Tolerance CorrectionAlgorithm Based on GDAL

图斑归并、剖分以及容错校正是地理国情监测数据处理中的制图综合关键技术,能够确保地调数据标准化及准确性评估,因此,本文基于拓扑学及地理信息系统原理,,以及栅格空间数据转换库(GDAL),设计了拓扑相容性判定方法,构建了邻近图斑归并算法、容差节点识别及消除算法,实现了地理国情监测数据的地图综合智能化容错校正,在提高数据处理效率的同时提高数据处理的质量。其次采用Python+GDAL仿真实验,表明该方法能够实现地理空间监测数据的相容性检查及图斑归并,对于地理信息数据处理提供一定的应用价值。

Map spot merging,subdivision and fault tolerance correction are the map generalization key technologies in the data process-ing of national geographic conditions monitoring,which can ensure the standardization and accuracy assessment of geospatial data.Therefore,based on the principles of topology and geographic information system,as well as the raster spatial data conversion library(GDAL),a topology compatibility inspection method is designed.The algorithm of adjacent map spot merging and tolerance node rec-ognition and elimination is constructed,and the map generalization intelligent fault tolerance correction of national geographic condi-tions monitoring data is realized,which improves the data processing efficiency and the quality of data processing.Secondly,Python+GDAL is used in the simulation experiment,which shows that the method can realize the compatibility inspection of geospatial monito-ring data and the merging of map spots,which provides certain application value for geographic information data processing.