人口统计中移动定位数据的空间插值

IF 1.2 Q4 TELECOMMUNICATIONS

Journal of Location Based Services Pub Date : 2021-05-10 DOI:10.1080/17489725.2021.1917710

A. Aasa, Pilleriine Kamenjuk, Erki Saluveer, J. Šimbera, Janika Raun

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引用次数: 8

摘要

摘要移动定位被认为是最有前途的新数据来源之一，可用于快速、经济高效地编制人口和流动性统计数据。政府机构在寻找利用移动定位数据编制官方统计数据的方法方面表现出了相当大的兴趣，尽管迄今为止只有少数成功项目的例子。除了数据访问和采样外，主要挑战还涉及移动定位数据的空间插值和将记录数据外推到整个人口水平。到目前为止，这一领域的工作在学术讨论中受到的关注相对较少。在当前的研究中，我们比较了五种不同的移动定位数据空间插值方法。与人口普查数据相比，描述人口分布和规模的最佳方法是自适应Morton网格和随机森林模型（R2>0.9），而更广泛使用的多边形中点和面积加权方法产生的结果远不令人满意（R2=0.42；R2=0.35）。因此，仔细选择空间插值方法对于从移动定位数据中产生可靠的人口统计数据至关重要。

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Spatial interpolation of mobile positioning data for population statistics

ABSTRACT Mobile positioning is recognised to be one of the most promising new sources of data for the production of fast and cost-effective statistics regarding population and mobility. Considerable interest has been shown by government institutions in their search for a way to use mobile positioning data to produce official statistics, although to date there are only few examples of successful projects. Apart from data access and sampling, the main challenges relate to the spatial interpolation of mobile positioning data and extrapolation of recorded data to the level of the entire population. This area of work has to date received relatively little attention in the academic discussion. In the current study, we compare five different methods of spatial interpolation of mobile positioning data. The best methods of describing population distribution and size in comparison with Census data are the adaptive Morton grid and the Random forest model (R2 > 0.9), while the more widely used point-in-polygon and areal-weighted methods produce results that are far less satisfactory (R2 = 0.42; R2 = 0.35). Careful selection of spatial interpolation methods is therefore of the utmost importance for producing reliable population statistics from mobile positioning data.

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来源期刊

Journal of Location Based Services TELECOMMUNICATIONS-

CiteScore

3.70

自引率

8.70%

发文量

期刊介绍： The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.