涉及邻近关系的多尺度林业数据图形综合方法

科学的森林经营管理是在研究结构与功能的基础上,考虑林分、景观和地理区域3个尺度,在林分小尺度上强调森林直接利用价值,在景观和地理区域大尺度上突出森林整体功能(亢新刚,2001)。Franklin(1994)和Egan等(1999)较早呼吁把更宽空间尺度作为森林生态系统管理的特征之一(谢剑斌等,2005)。目前,林分尺度的数据源大多为森林资源调查和外业调研数据,景观尺度数据源多为遥

Multi-Scale Forest Data Graphics Generalization Considering Neighboring

Based on neighboring relationship of features,forestry database acquired multi-scale data through spatial data generalization in order to meet the research of forest,landscape and natural geographic region.Taking the 1:10 000 forest inventory spatial data as the data source,this article analyzed the topological neighboring,distance neighboring and semantic neighboring,and completed the aggregation and integration operations of polygon in the sub-compartments and constructs the spatial database of 1:25 000 by graphics generalization of ArcGIS.Taking Guniushan as experimental area,the results showed that the number of the sub-compartments changed from 3 520 to 2 416 by means of the integrated operation which merged them according to the order of soil factors,slope position,slope,aspect,topography factor,canopy density,forest age and area.And it meeted the law of data integration of the open square root.The proportion of each property factor had not changed so much after the integrated operation,and the biggest change was the mature forest’s age which changed from 10.27% to 12.19%.The mainly reason was,after the integrated operation,the nearly mature forest,the mature forest and the over mature forest were regarded as the mature forest.The proportion among species changed slightly whenever before or after the integration,and it basically meete the area balance between species.