多级网格环境下的土地利用统计方法

Land Utilization Statistics Method based on Multi-grid Environment

基于土地资源多级网格服务架构LR-MGSP(Land Resource Multi-Grid Service Platform),对土地利用统计服务按照原子服务和聚合服务的分类方式进行分级处理,提出对原子服务采用基于统计基表的增量式密集统计,对聚合服务采用基于网格资源状态的聚合统计,从而实现基于多级网格资源的土地利用汇总统计方法。通过与传统土地资源管理系统的性能对比测试,结果表明:该方法在统计效率上明显优于传统统计方法,且随着统计量的增大,效率优势更加明显。该方法的应用实例也表明,它能够满足海量土地资源数据高效统计处理的需求,也为跨机构跨部门处理其他土地资源业务提供了参考借鉴。

Based on multi-service grid platform of land resource（LR-MGSP）,a novel land utilization statistics method is presented.The statistics services are classified by grading processed compositions.Incremental statistics based on statistic base table is adopted for atomic services,and aggregate statistics based on the state of grid resource is adopted for composition services.The comparison test results show that this method is superior to traditional approach in statistic efficiency,especially for large statistic data.The prototype system can meet with the needs of efficient process of massive land data,and provide new scheme for inter-agency coordination processing other business of land resource management.