摘要
研究了多尺度地理空间点状要素相似关系的表达与度量问题。基于点群目标的分布特点,运用栅格数据思想和多元统计方法,将对点群的研究转化为对面状目标的研究。对同一个点群化简前后密度相似、面积相似以及空间方向的相似进行研究,建立了多尺度地理空间点状要素相似关系的计算模型。
This paper studied the expression and measurement issue of similarity relations of point features in multi - scale geographic space. Based on the distribution characteristics of point groups, rasterization method and multivariate statistical method were used to change the research on point features into area features. Basing on the comparation of same point group before and after it was simplified, it studied on the similarity of the density, as well as the area and the spatial directions, and constructed compute model of the similarity relations among point features in multi - scale geographic space.
出处
《测绘与空间地理信息》
2010年第2期18-20,24,共4页
Geomatics & Spatial Information Technology
基金
国家自然科学基金项目(40871208)资助
关键词
多尺度
点状要素
相似关系
multi - scale
point feature
similarity relation
