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Modelling Offset Regions around Static and Mobile Locations on a Discrete Global Grid System: An IoT Case Study
ISPRS International Journal of Geo-Information ( IF 2.8 ) Pub Date : 2020-05-20 , DOI: 10.3390/ijgi9050335
David Bowater , Monica Wachowicz

With the huge volume of location-based point data being generated by Internet of Things (IoT) devices and subsequent rising interest from the Digital Earth community, a need has emerged for spatial operations that are compatible with Digital Earth frameworks, the foundation of which are Discrete Global Grid Systems (DGGSs). Offsetting is a fundamental spatial operation that allows us to determine the region within a given distance of an IoT device location, which is important for visualizing or querying nearby location-based data. Thus, in this paper, we present methods of modelling an offset region around the point location of an IoT device (both static and mobile) that is quantized into a cell of a DGGS. Notably, these methods illustrate how the underlying indexing structure of a DGGS can be utilized to determine the cells in an offset region at different spatial resolutions. For a static IoT device location, we describe a single resolution approach as well as a multiresolution approach that allows us to efficiently determine the cells in an offset region at finer (or coarser) resolutions. For mobile IoT device locations, we describe methods to efficiently determine the cells in successive offset regions at fine and coarse resolutions. Lastly, we present a variety of results that demonstrate the effectiveness of the proposed methods.

中文翻译:

在离散的全球网格系统上对静态和移动位置周围的偏移区域建模:一个物联网案例研究

随着物联网(IoT)设备生成大量的基于位置的点数据,以及随之而来的数字地球社区的关注,对与数字地球框架兼容的空间操作的需求不断增长,其基础是离散全球网格系统(DGGS)。偏移是一项基本的空间操作,可让我们确定IoT设备位置给定距离内的区域,这对于可视化或查询附近的基于位置的数据非常重要。因此,在本文中,我们提出了一种对被量化为DGGS单元的IoT设备(静态和移动)的点位置周围的偏移区域进行建模的方法。值得注意的是 这些方法说明了如何利用DGGS的基础索引结构来确定偏移区域中不同空间分辨率下的像元。对于静态物联网设备位置,我们描述了一种单分辨率方法以及一种多分辨率方法,该方法使我们能够以更精细(或更粗略)的分辨率有效地确定偏移区域中的像元。对于移动物联网设备的位置,我们描述了有效确定精细和粗糙分辨率下连续偏移区域中的像元的方法。最后,我们提出了各种结果,证明了所提出方法的有效性。我们描述了一种单分辨率方法以及一种多分辨率方法,该方法使我们能够以更精细(或更粗糙)的分辨率有效地确定偏移区域中的像元。对于移动物联网设备的位置,我们描述了以精细和粗糙分辨率有效确定连续偏移区域中的像元的方法。最后,我们提出了各种结果,证明了所提出方法的有效性。我们描述了一种单分辨率方法以及一种多分辨率方法,该方法使我们能够以更精细(或更粗糙)的分辨率有效地确定偏移区域中的像元。对于移动物联网设备的位置,我们描述了以精细和粗糙分辨率有效确定连续偏移区域中的像元的方法。最后,我们提出了各种结果,证明了所提出方法的有效性。
更新日期:2020-05-20
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