@article{worldclimMethods2015,
  title = {Methods},
  author = {{WorldClim}},
  date = {2015},
  url = {http://mfkp.org/INRMM/article/13768029},
  abstract = {[Excerpt] For a complete description, see:

[\textbackslash n] Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.

[\textbackslash n] The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as "1 km2" resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.

[\textbackslash n] The WorldClim interpolated climate layers were made using:

[::] Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others. [::] The SRTM elevation database (aggregeated to 30 arc-seconds, "1 km") [::] The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13768029,global-scale,modelling,open-data,worldclim}
}

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