English

SeismographAPI: Visualising Temporal-Spatial Crisis Data

Human-Computer Interaction 2021-07-28 v1

Abstract

Effective decision-making for crisis mitigation increasingly relies on visualisation of large amounts of data. While interactive dashboards are more informative than static visualisations, their development is far more time-demanding and requires a range of technical and financial capabilities. There are few open-source libraries available, which is blocking contributions from low-resource environments and impeding rapid crisis responses. To address these limitations, we present SeismographAPI, an open-source library for visualising temporal-spatial crisis data on the country- and sub-country level in two use cases: Conflict Monitoring Map and Pandemic Monitoring Map. The library provides easy-to-use data connectors, broad functionality, clear documentation and run time-efficiency.

Keywords

Cite

@article{arxiv.2107.12443,
  title  = {SeismographAPI: Visualising Temporal-Spatial Crisis Data},
  author = {Raphael Lepuschitz and Niklas Stoehr},
  journal= {arXiv preprint arXiv:2107.12443},
  year   = {2021}
}

Comments

Published in the KDD Workshop on Data-driven Humanitarian Mapping held with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), August 14, 2021

R2 v1 2026-06-24T04:32:31.478Z