An exploratory data analysis protocol for identifying problems in continuous movement data

IF 1.2 Q4 TELECOMMUNICATIONS
A. Graser
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引用次数: 8

Abstract

ABSTRACT Movement datasets are often complex and require sophisticated processing and analysis. A thorough understanding of the dataset is needed to choose the right methods and to interpret their results. Misunderstandings and violations of assumptions about dataset characteristics can lead to flawed analysis results and wrong conclusions. To address this challenge, we propose a novel protocol for the systematic exploration of movement datasets. The individual protocol steps address the different types of movement data problems. The exploration tools recommended at each step are specifically tailored to identifying potential problems and avoiding common pitfalls when working with global navigation satellite system (GNSS) tracking data, commonly referred to as GPS tracks. However, the general steps should be transferable to continuous movement datasets with different characteristics, such as video trajectories. Furthermore, we provide an open-source implementation of our protocol in the form of a Jupyter notebook accompanying this paper.
一种探索性数据分析协议,用于识别连续运动数据中的问题
运动数据集通常是复杂的,需要复杂的处理和分析。要选择正确的方法并解释其结果,需要对数据集有透彻的了解。对数据集特征的误解和假设的违反可能导致有缺陷的分析结果和错误的结论。为了解决这一挑战,我们提出了一种新的协议,用于系统地探索运动数据集。每个协议步骤处理不同类型的移动数据问题。在每个步骤中推荐的勘探工具都是专门针对识别潜在问题和避免使用全球导航卫星系统(GNSS)跟踪数据(通常称为GPS跟踪)时的常见陷阱而定制的。然而,一般步骤应该可转移到具有不同特征的连续运动数据集,例如视频轨迹。此外,我们还以Jupyter笔记本的形式提供了我们的协议的开源实现。
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
12
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.
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