README file for Code and Output to accompany "Multiscale model of regional population decline in little brown bats due to white-nose syndrome
Authors: Andrew M. Kramer, Claire S. Teitelbaum, Ashton Griffin, and John M. Drake
Correspondence: amkramer@usf.edu

This archive consists of 11 files.

1. Multiscale model of white-nose syndrome code published.R
	This R script contains the code that generates simulations, distills output, and draws figures. All other files in this archive (except for WNSBats_PowerLaw.R) are output of parts of this code. They have been included here because they represent the summarization of computationally intensive simulations that could not be included in the archive due to file size limitations. Some of the figures require these "raw" output files, if needed an alternate method of sharing can be arranged with the authors.

2. WNSBats_PowerLaw.R
	This R script tries fitting alternative distributions to the bat dispersal data from Norquay et al. 2013. Conclude that a uniform distribution is as consistent as other possibilities.
It also looks at alternative distributions for NY little brown bat population sizes from Turner et al. 2011, this can then be used to produce random versions of the regional bat population.

3. ListOfCavePops500.rds
	This is the set of randomized little brown bat population sizes used in the simulations.

4. lhsVals1000_16.csv
	These are the parameter combinations used in the simulations.

5-9. evaluationMetrics..._16.rds
	These are the summaries produced from the full output as detailed in the main R script. Provided to allow manipulation of main figures without need for time to compute the full stochastic simulations.

10. bestParameterSets1000_16.csv
	This lists each parameter set and whether the prediction interval overlapped with each goodness-of-fit measure.

11. bestParamsSmall.rds
	This r object includes the parameter sets that matched the most goodness of fit measures.