论文部分内容阅读
区域自然灾害风险评估中所用的数据不仅具有时间上的意义，而且具有空间上的意义。由于自然灾害系统的复杂性和数据收集手段的历史局限性与不足，使得这些数据常带有空间上的不完备性，从而使得由此而得到的风险评估结果不能满足一定的空间精度要求。本文针对这一问题探讨了空间不完备信息的概念与本质，并给出了优化空间不完备信息的数学模型。
The data used in the regional natural disaster risk assessment are not only time-specific but also spatial in nature. Due to the complexity of natural disaster systems and the historical limitations and shortcomings of data collection methods, these data often have spatial incompleteness, so that the resulting risk assessment results can not meet the requirements of certain spatial precision. In this paper, we discuss the concept and nature of the incomplete information in space and give a mathematical model to optimize the incomplete information in the space.