Corpus ID: 218870390

Pixelate to communicate: visualising uncertainty in maps of disease risk and other spatial continua.

@article{Taylor2020PixelateTC,
  title={Pixelate to communicate: visualising uncertainty in maps of disease risk and other spatial continua.},
  author={A. Taylor and J. A. Watson and C. Buckee},
  journal={arXiv: Applications},
  year={2020}
}
  • A. Taylor, J. A. Watson, C. Buckee
  • Published 2020
  • Mathematics
  • arXiv: Applications
  • Maps have long been been used to visualise estimates of spatial variables, in particular disease burden and risk. Predictions made using a geostatistical model have uncertainty that typically varies spatially. However, this uncertainty is difficult to map with the estimate itself and is often not included as a result, thereby generating a potentially misleading sense of certainty about disease burden or other important variables. To remedy this, we propose simultaneously visualising predictions… CONTINUE READING

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