基于拓扑约束理论的森林小班自动聚类分析  

The Auto-clustering Analysis of Subcompartment Based on the Constrained Theory

作　　者：薄志义[1] 鲁绍伟[2] 罗旭[2] 景海涛[3] 曹志刚[4] 

机构地区：[1]中国矿业大学资源与安全工程学院 [2]北京林业大学资源与环境学院,北京100083 [3]徐州师范大学,江苏徐州221116 [4]河北科技师范学院,河北秦皇岛066004

出　　处：《水土保持研究》2006年第6期13-15,共3页Research of Soil and Water Conservation

基　　金：国家863课题(2003AA245030);国家自然科学基金项目(90302014);北京市自然科学基金项目(4032015)共同资助

摘　　要：为提高林业调查规划专题图编制的工作效率,讨论了基于拓扑约束理论的数字专题图制作方法和原则,利用点位的拓扑关系建立小班地域的邻接矩阵,和小班属性矩阵作为自动聚类的基础矩阵,并通过MapBasic编制程序对MapInfo进行二次开发,结合Excel等软件,实现了小班多边形自动聚合及分类,为林业专题地理信息系统研究奠定基础。小班多边形聚类方法与人机交互操作相比,具有速度快、精度高等特点,克服手工制图工作量大、速度慢,成本高等缺陷。To improve the efficiency of making the theme-map of forest investigation and planning, the authors discussed the methods and principles of making digital theme-map based on the Constrained recognition and clustering theory. The adjoiningmatrix of points on the earth can be made based on Constrained connection, and while it is the basic matrix with attribute-matrix of auto-clustering. Based on MapBasic and Excel, a program is made to realize the second-develop of MapInfo, the auto-combination of sub-compartment polygons can be achieved. This research is groundwork of thematie-GIS. That it not only automated the combination of sub-compartment polygons, but also raised the data quality compared with the method alternated between man and computer,this method avoids some limitations of heavy-work, low-efficiency and high-cost.

关 键 词：自动聚类分析 小班 约束理论 MAPINFO 

分 类 号：S711[农业科学—林学]