【作者】 郭达志； 张书毕； 张海荣；

【Author】 Guo Dazhil, Zhang Hairong2 and Zhang Shubil(1. Institute of Surveying and Spatial Information Engineering, CUMT, 2. Department of-Geography and Environment, Xuzhou Normal University, Xuzhou, Jiangsu, 221008)

【机构】 中国矿业大学测绘与空间信息工程研究所； 徐州师范大学城市与环境学系；

【摘要】 GIS中的空间数据误差和不确定性可分为位置、属性、时域、逻辑关系和完整性等几个方面,其中,属性数据的不确定性可能严重影响基于GIS,特别是基于矿山GIS(MGIS)决策的准确性或可靠性。本文首先论述了MGIS的特点及其在矿山属性数据不确定性研究中的重要作用,以及矿山属性不确定性研究的基本内容、主要研究理论和方法。最后,简要介绍了一个实际研究例子,即煤层地质采矿条件的定量分类。更多还原

【Abstract】 Error and uncertainty of spatial data in CIS can be in the aspects of position, attribute, temporary, logical relationship and completeness. Among them, attribute data uncertainty can seriously affect the quality or reliability of CIS-based decision making, especially for mining CIS (MGIS), In this paper, the characteristics of MGIS and its significant roles in research of mining attribute uncertainty are firstly described. Then the fundamental content, and the theories and methods to study the mining data uncertainty are discussed. Finally, a practical example, a quantitative classification system of geological and mining conditions of coal seam, is described.更多还原