The low hanging fruit is gone

Author:

Laube Patrick1

Affiliation:

1. Zurich University of Applied Sciences, Switzerland

Abstract

This position paper reviews the achievements and open challenges of movement analysis within Geographical Information Science. The paper argues that the simple problems of movement analysis have mostly been addressed to a sufficient level ("the low hanging fruit"), leaving the research community with the much more challenging problems for the years ahead ("the high hanging fruit"). Whereas the community has made good progress in structuring trajectory data (segmentation, similarity, clustering) and conceptualizing and detecting movement patterns, the much harder task of semantic annotation of structures and patterns remains difficult. The position paper summarizes both achievements and challenges with two sets assertions and calls for the establishment of a unifying theory of Computational Movement Analysis.

Publisher

Association for Computing Machinery (ACM)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards a Hybrid and Semantically Enriched Trajectory Data Warehouse;2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA);2021-11

2. Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis;International Journal of Geographical Information Science;2021-02-19

3. A Survey on Big Data for Trajectory Analytics;ISPRS International Journal of Geo-Information;2020-02-01

4. Computer-gestützte Bewegungsanalyse;Springer Reference Naturwissenschaften;2019

5. Modeling the effect of days and road type on peak period travels using structural equation modeling and big data from radio frequency identification for private cars and taxis;European Transport Research Review;2018-06

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