Abstract

BackgroundThis paper introduces DynamoVis version 1.0, an open-source software developed to design, record and export custom animations and multivariate visualizations from movement data, enabling visual exploration and communication of patterns capturing the associations between animals’ movement and its affecting internal and external factors. Proper representation of these dependencies grounded on cartographic principles and intuitive visual forms can facilitate scientific discovery, decision-making, collaborations, and foster understanding of movement.ResultsDynamoVis offers a visualization platform that is accessible and easily usable for scientists and general public without a need for prior experience with data visualization or programming. The intuitive design focuses on a simple interface to apply cartographic techniques, giving ecologists of all backgrounds the power to visualize and communicate complex movement patterns.ConclusionsDynamoVis 1.0 offers a flexible platform to quickly and easily visualize and animate animal tracks to uncover hidden patterns captured in the data, and explore the effects of internal and external factors on their movement path choices and motion capacities. Hence, DynamoVis can be used as a powerful communicative and hypothesis generation tool for scientific discovery and decision-making through visual reasoning. The visual products can be used as a research and pedagogical tool in movement ecology.

Highlights

  • This paper introduces DynamoVis version 1.0, an open-source software developed to design, record and export custom animations and multivariate visualizations from movement data, enabling visual exploration and communication of patterns capturing the associations between animals’ movement and its affecting internal and external factors

  • Recent advancements in the field of movement ecology have demonstrated the importance of incorporating the contextual information in studying short-range movement and migration strategies [6,7,8], the interaction between individuals [9], the impact of human interference on animals’ activity and resource use [10], and more [11, 12]

  • Examples include commercial Geographic Information Systems (GIS) (e.g., ArcGIS) or specialized open-source packages for movement data analysis in R or in Python. These packages either offer limited flexibility for design customization by the user to alter visualization forms and formats or require advanced programming and analytical skills and knowledge of data visualization. To respond to this gap, we introduce DynamoVis, as an alternative visualization tool that requires no knowledge of data visualization, coding, or specific programming languages

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Summary

Results

DynamoVis offers a visualization platform that is accessible and usable for scientists and general public without a need for prior experience with data visualization or programming. The intuitive design focuses on a simple interface to apply cartographic techniques, giving ecologists of all backgrounds the power to visualize and communicate complex movement patterns

Conclusions
Background
Discussion
Conclusion and future developments

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