Tompkins, Adrian Mark; Thomson, Madeleine C (2018): VECTRI simulations of malaria incidence in the highlands of Kenya, accounting for climate, model and initial condition uncertainty using a genetic algorithm framework [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.890161, Supplement to: Tompkins, AM; Thomson, MC (2018): Uncertainty in malaria simulations in the highlands of Kenya: Relative contributions of model parameter setting, driving climate and initial condition errors. PLoS ONE, 13(9), e0200638, https://doi.org/10.1371/journal.pone.0200638
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Abstract:
The output is simulated cases per 1000 population for a highland location in the Kenyan highlands. Each file represents a single ensemble member integration of the model in the final generation of the genetic algorithm calibration method outlined in the paper. The global meta data gives the set of parameters used to define this run, as well as the exact version of the model code used (ref. http://www.gitlab.com/tompkins/vectri).
Coverage:
Latitude: 1.000000 * Longitude: 38.000000
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Tompkins, Adrian Mark | |||
| 2 | File name | File name | Tompkins, Adrian Mark | |||
| 3 | File format | File format | Tompkins, Adrian Mark | |||
| 4 | File size | File size | kByte | Tompkins, Adrian Mark | ||
| 5 | Uniform resource locator/link to file | URL file | Tompkins, Adrian Mark |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
15 data points