基于规则匹配的林地矢量小班数据质量检查方法的探究

Study on Quality Checking Method of Forestry Subcompartment Based on Rule Matching

林地小班调查数据是林业分析统计工作的基础,其中,林地数据质量检查是保证林地数据质量提高林业决策可靠性的重要措施,但是,目前林业领域缺乏高效自动化的小班数据质量检查方法在提高林地数据质量检查效率减轻人工工作量的同时也能保证林地数据的质量。本文参照林业信息化标准和地理信息系统数据质量控制的内容,通过对林业数据的特征进行整理分析,制定了林地矢量小班数据质量检查规则数据库和错误小班可视化表达符号库,依此形成了一种基于规则验证的林业GIS数据质量检查方法,实现了林地小班数据质量的快速检查和错误数据规范化的可视化展示,提高了林地矢量小班数据质量检查的效率和矢量属性数据质量检查的人工判读能力,同时保证了林地矢量数据的质量。

Forestry survey data is the basis of forestry analysis and statistical work. The quality checking of forestry data is an important measure to ensure the quality of forestry data and the forestry decision reliability. A good data quality checking method with higher efficiency is good to improving the quality inspection efficiency of forestry data and can reduce the manual workload, and the quality of forestry data is ensured at the same time. But this kind of method is lacking now. Through analysing on the characteristics of forestry data, the quality inspection rule database and the wrong subcompartment visual expression database are formulated by studying on the forestry information standard and the content of the data quality control of GIS. One GIS data quality check method was formed based on the Rule Verification and it was conducive to inspection more quickly and displaying the error forestry subcompartment attributes standardly. An effective method of vector data quality inspection of forest land resources are formed, improving the efficiency of subcompartment quality inspection and quality inspection of the manual interpretation ability.