GIS空间目标间方向关系的统计表达模型  

Discussion on Statistical Model of Direction Relation Between Spatial Objects in GIS

作　　者：邓敏[1] 张燕[1] 李俊杰[2] 

机构地区：[1]中南大学测绘与国土信息工程系,湖南长沙410083 [2]中国科学院南京地理与湖泊研究所,江苏南京210008

出　　处：《地理信息世界》2006年第5期70-76,共7页Geomatics World

基　　金：国家自然科学基金项目(编号40501053);香港特别行政区政府RGC资助项目(Polyu5228/06E);地理空间信息工程国家测绘局重点实验室开放基金资助项目(200635)

摘　　要：本文重点研究了空间目标间方向关系的统计建模方法。提出的统计模型可以描述为:(1)线、面目标通过内插处理被分解成相应的基本单元;(2)空间目标间的方向关系视作这些基本单元间方向的集合;(3)利用中值(median)和分布范围(range)两种度量来完整描述方向分布的统计特性。由于此模型是从空间目标本身出发的,避免了现有模型中对空间目标的近似处理过程,从而能更精确地描述方向关系。Direction relation as a kind of spatial constraint has been recognized to be very useful for spatial query, analysis and reasoning. This paper focuses on modeling of direction relation between spatial objects. For two given spatial objects, the description result of their direction relation is to large extent dependent on the employed modeling approach. However, existing models only represent approximately the direction relation due to too coarse representation of extended spatial objects by either their minimum bounding rectangle or a point. In this paper, a statistical model is presented, in which （1） extended spatial ohjeets are decomposed into small components （i.e. suh-segments and cells）： （2） the direction relation between spatial objects is regarded as the set of the directions between these small components, i. e. a distrihution： and （3） two measures （i.e. distribution range and median direction） are utilized to describe the statistical properly of the distrihution. Indeed, the statistieal model is based upon the involved spatial objects themselves, instead of the approximation of these spatial objects in the existing models. As a result, this model is able to describe the direction relation of spatial objects more aecuratelv.

关 键 词：方向关系 统计模型 方向区间 中值方向 

分 类 号：P208[天文地球—地图制图学与地理信息工程]