增强了对时间数据立方体查询的日历支持

IF 2.1 3区 地球科学 Q2 GEOGRAPHY
Peter Baumann, Bang Pham Huu, Dimitar Misev, Vlad Merticariu
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引用次数: 0

摘要

我们的数据中有很大一部分是时间序列。时间可以是单一维度,也可以是其他维度(如空间维度),从而产生多维数据,如三维 x/y/t 卫星图像时间序列或四维 x/y/z/t 大气模拟(如天气预报)。然而,没有用户会喜欢计算 "自纪元以来的秒数",相反,我们都更喜欢日历符号。库、SQL 等都支持日历运算,但还需要更高级的功能。与其将高级日历功能降级为低级编码,不如在高级声明式查询级别为日历提供语义支持。我们提出了一个时态建模概念框架,它允许表达各种时态查询。它通过添加两个新的数据和查询描述参数(有效期和粒度),平滑地增强了现有的日历处理功能。虽然我们的工作嵌入了时空地理服务,但它可以以非破坏性的方式纳入任何需要日历处理的环境中。这些概念是在一个阵列数据库管理系统(Array DBMS)中实现的,该系统可在数百亿字节的地球数据集上运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced calendar support for temporal datacube queries
A significant share of our data are timeseries. Time can occur as the single dimension, or further (such as spatial) dimensions can be present as well, leading to multidimensional data such as 3D x/y/t satellite image timeseries or 4D x/y/z/t atmospheric simulations like weather forecasts. However, no user would like to count “seconds since epoch,” rather we all prefer calendar notation. Libraries, SQL, etc. support calendar arithmetics, yet more advanced functionality is needed. Instead of demoting advanced calendar functionality to low‐level coding, it seems desirable to have semantic support for calendars at high‐level, declarative query level. We present a conceptual framework for temporal modeling which allows the expression of a wide range of temporal queries. It smoothly enhances existing calendar handling by adding two new data and query description parameters, period of validity, and granularity. While our work is embedded in spatio‐temporal geo services, it can be incorporated in a non‐breaking manner in any environment needing calendar addressing. The concepts are implemented in an Array DBMS operational on several Petabytes of Earth datacubes.
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来源期刊
Transactions in GIS
Transactions in GIS GEOGRAPHY-
CiteScore
4.60
自引率
8.30%
发文量
116
期刊介绍: Transactions in GIS is an international journal which provides a forum for high quality, original research articles, review articles, short notes and book reviews that focus on: - practical and theoretical issues influencing the development of GIS - the collection, analysis, modelling, interpretation and display of spatial data within GIS - the connections between GIS and related technologies - new GIS applications which help to solve problems affecting the natural or built environments, or business
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