dismo (version 0.5-11)

biovars: bioclimatic variables

Description

Function to create 'bioclimatic variables' from monthly climate data.

Usage

biovars(prec, tmin, tmax, ...)

Arguments

prec
vector, matrix, or RasterStack/Brick of precipitation data
tmin
vector, matrix, or RasterStack/Brick of minimum temperature data
tmax
vector, matrix, or RasterStack/Brick of maximum temperature data
...
Additional arguments

Value

  • Depending on the class of the input data, an object of class 'vector', 'matrix' or 'RasterBrick' with 19 variables (columns, layers) bio1 = Mean annual temperature bio2 = Mean diurnal range (mean of max temp - min temp) bio3 = Isothermality (bio2/bio7) (* 100) bio4 = Temperature seasonality (standard deviation *100) bio5 = Max temperature of warmest month bio6 = Min temperature of coldest month bio7 = Temperature annual range (bio5-bio6) bio8 = Mean temperature of the wettest quarter bio9 = Mean temperature of driest quarter bio10 = Mean temperature of warmest quarter bio11 = Mean temperature of coldest quarter bio12 = Total (annual) precipitation bio13 = Precipitation of wettest month bio14 = Precipitation of driest month bio15 = Precipitation seasonality (coefficient of variation) bio16 = Precipitation of wettest quarter bio17 = Precipitation of driest quarter bio18 = Precipitation of warmest quarter

Details

Input data is normaly monthly. I.e. there should be 12 values (layers) for each variable, but the function should also work for e.g. weekly data (with some changes in the meaning of the output variables. E.g. #8 would then not be for a quater (3 months), but for a 3 week period).

Examples

Run this code
tmin <- c(10,12,14,16,18,20,22,21,19,17,15,12)
tmax <- tmin + 5
prec <- c(0,2,10,30,80,160,80,20,40,60,20,0)
biovars(prec, tmin, tmax)

Run the code above in your browser using DataCamp Workspace