Describing the dimensionality of geospatial data in the earth sciences— Recommendations for nomenclature
Describing the dimensionality of geospatial data in the earth sciences— Recommendations for nomenclature
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描述地球科学中地理空间数据的维度——术语建议
DOI：
10.1130/ges00158.1
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发表时间：
2008
期刊：
影响因子：
2.5
通讯作者：
R. Holdsworth
中科院分区：
文献类型：
--
作者：
Richard R. Jones;T. Wawrzyniec;N. Holliman;K. McCaffrey;J. Imber;R. Holdsworth
在描述地球科学数据集的维度时存在复杂性。困难之一是，有许多不同的，有效的方式来考虑维度。与传统的现场数据采集方法不同，现代数字方法通常会记录每个采样点相对于三维（3D）坐标系的位置，即使对于简单的测量策略（如一维线采样）也是如此。至关重要的是，描述数据集维度的最佳方式将取决于数据呈现的上下文。像“2½D”这样的术语通常不适合非专业观众。由于模糊性和不一致性已经普遍存在，因此通常建议清楚地解释每个数据集的性质，用于捕获数据的方法，特别是数据采集是否仅限于露头表面或包括地下采样。
Complications exist when describing the dimensionality of geoscientific data sets. One difficulty is that there are a number of different, valid ways to consider dimensionality. Unlike traditional methods of field data capture, modern digital methods typically record the position of every sample point relative to a three-dimensional (3D) coordinate system, even for simple measurement strategies such as 1D line sampling. Critically, the best way to describe the dimensionality of a data set will depend on the context in which the data are presented. Terms such as “2½D” are generally inappropriate for nonspecialist audiences. Because ambiguity and inconsistency are already widespread, it is usually advisable to explain clearly the nature of each data set, the method used to capture the data, and particularly whether data acquisition was restricted to the outcrop surface or includes sampling of the subsurface.