驯服扭曲的立方体

Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data Pub Date : 2016-06-26 DOI:10.1145/2948649.2948650

P. Baumann, E. Hirschorn, J. Masó, A. Dumitru, Vlad Merticariu

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引用次数: 4

摘要

时空网格数据构成了地球科学和空间科学的核心结构。虽然Array数据库已经开始支持这种信息类别，但它们只提供整数索引，对应于等距网格。然而，在现实中，网格通常具有不规则的结构，例如原始卫星条带数据。我们提出了一种以连贯的方式对时空规则和非规则网格建模的方法，适用于查询、传输和存储这些数据，同时保持格式独立。我们简要地描述了一种基于关系DBMS和数组DBMS组合的实现。我们的模式目前正被OGC和ISO采纳为国际标准。

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Taming twisted cubes

Spatio-temporal grid data form a core structure in Earth and Space sciences alike. While Array Databases have set out to support this information category they only offer integer indexing, corresponding to equidistant grids. However, often grids in reality have irregular structures, such as raw satellite swath data. We present an approach to modeling spatio-temporal regular and non-regular grids in a coherent manner, suitable for querying, transporting, and storing such data while remaining format independent. We briefly describe an implementation based on the combination of a relational and an array DBMS. Our model is currently under adoption as an international standard by OGC and ISO.

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Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data

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