Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach
Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach
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DOI：
10.1080/13658810701851420
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发表时间：
2008-01-01
影响因子：
5.7
通讯作者：
Wieczorek, J.
中科院分区：
文献类型：
--
作者：
Guo, Q.;Liu, Y.;Wieczorek, J.
地质、生物和文物标本的位置信息传统上以文字描述的形式存储。随着人们对自然和文化信息的需求不断增加，缺乏空间上明确的描述已经成为利用地理信息系统管理和分析这些数据的主要障碍。本文提出了一种基于参考对象的不确定性和空间关系的不确定性，利用不确定性场模型来表示局域分布的地理参考描述性数据的方法。我们提出了这两种不确定性的每种已知形式的概率分布，并提出了一种基于不同不确定性源集成的参考位置的概率方法。
Locality information for specimens of geological, biological, and cultural objects is traditionally stored as textual descriptions. With an increasing demand for natural and cultural information, the lack of spatially explicit descriptions has become a major barrier to the management and analysis of these data using geographic information systems. In this paper, we propose a method to georeference descriptive data, using an uncertainty field model to represent the distribution of a locality based on two types of uncertainties: uncertainty of reference objects, and the uncertainty of spatial relationships. We propose probability distributions for each known form of these two types of uncertainties and present a probabilistic method to georeference localities based on the integration of different uncertainty sources.