Intelligent geospatial maritime risk analytics using the Discrete Global Grid System

A Rawson, Z Sabeur, M Brito - Big Earth Data, 2022 - Taylor & Francis
Each year, accidents involving ships result in significant loss of life, environmental pollution
and economic losses. The promotion of navigation safety through risk reduction requires …

A spatiotemporal data model and an index structure for computational time geography

BY Chen, YB Luo, T Jia, HP Chen… - International Journal …, 2023 - Taylor & Francis
Abstract The availability of Spatiotemporal Big Data has provided a golden opportunity for
time geographical studies that have long been constrained by the lack of individual-level …

Progress in computational movement analysis–towards movement data science

S Dodge, S Gao, M Tomko, R Weibel - International Journal of …, 2020 - Taylor & Francis
There has not been a time in the history of GIScience when movement analytics and mobility
insights have played such an important role in policymaking as in today's global responses …

Medark: a map-matching error detection and rectification framework for vehicle trajectories

Z Wan, S Dodge - International Journal of Geographical …, 2024 - Taylor & Francis
The widespread use of Global Navigation Satellite System (GNSS) trackers has significantly
enhanced the availability of vehicle tracking data, providing researchers with critical insights …

Towards explainable AI for mobility data science

A Jalali, A Graser, C Heistracher - arXiv preprint arXiv:2307.08461, 2023 - arxiv.org
This paper presents our ongoing work towards XAI for Mobility Data Science applications,
focusing on explainable models that can learn from dense trajectory data, such as GPS …

Assessing the cognition of movement trajectory visualizations: interpreting speed and direction

CJ Bae, S Dodge - Cartography and Geographic Information …, 2023 - Taylor & Francis
This paper evaluates cognitively plausible geovisualization techniques for mapping
movement data. With the widespread increase in the availability and quality of space-time …

Exploring descriptions of movement through geovisual analytics

S Pezanowski, P Mitra, AM MacEachren - KN-Journal of Cartography and …, 2022 - Springer
Sensemaking using automatically extracted information from text is a challenging problem.
In this paper, we address a specific type of information extraction, namely extracting …

Exploratory analysis of massive movement data

A Graser, M Dragaschnig, H Koller - Handbook of big geospatial data, 2020 - Springer
Movement is a dynamic process that is increasingly being monitored by a variety of tracking
systems. As a consequence, analysts who are trying to understand movement processes are …

Integrated science of movement: crossing the boundary between human mobility and animal movement research

U Demšar - A Research Agenda for Spatial Analysis, 2024 - elgaronline.com
Movement is a fundamental property of life and has been the focus of study of several
disciplines for decades, including geography, transportation science and ecology. The 21st …

Uncertainty-Aware Ship Location Estimation using Multiple Cameras in Coastal Areas

S Wu, A Troupiotis-Kapeliaris, D Zissis… - 2024 25th IEEE …, 2024 - ieeexplore.ieee.org
Recent advances, especially in deep learning, allow to effectively detect ship targets in
surveillance videos. However, the translation of these detections to the real-world locations …