thermicityIndex {envirem}

Compensated Thermicity index

Description

Compensated Thermicity index

Usage

thermicityIndex(
  annualTemp,
  minTemp,
  maxTemp,
  continentality,
  returnCompensated = TRUE,
  tempScale = 1
)

Arguments

annualTemp

rasterLayer, mean annual temperature

minTemp

rasterLayer, min temp of the coldest month

maxTemp

rasterLayer, max temp of the coldest month

continentality

rasterLayer, continentality index

returnCompensated

logical: if FALSE, regular thermicity index is returned.

tempScale

integer; scaling factor for the temperature data, see envirem for additional details.

Details

thermicity index = tempRange + minTemp + maxTemp

The compensated thermicity index incorporates corrections designed to make this metric more appropriately comparable across the globe.

Value

rasterLayer in degrees C

Author(s)

Pascal Title

References

Rivas-Martínez, S. & Rivas-Sáenz, S. “Synoptical Worldwide Bioclimatic Classification System”. Available online at http://www.globalbioclimatics.org/ [accessed 15 February 2016]

Sayre, R., Comer, P., Warner, H. & Cress, J. (2009) A new map of standardized terrestrial ecosystems of the conterminous United States: US Geological Survey Professional Paper 1768. Reston, VA.

See Also

continentality

Examples

# Find example rasters
rasterFiles <- list.files(system.file('extdata', package='envirem'), full.names=TRUE)
env <- rast(rasterFiles)

# identify appropriate layers
tmean <- grep('tmean', names(env))
tmin <- grep('tmin', names(env))
tmax <- grep('tmax', names(env))

tmean <- env[[tmean]]
tmin <- env[[tmin]]
tmax <- env[[tmax]]

# calculate temperature extremes
temp <- otherTempExtremes(tmean, tmin, tmax)

ci <- continentality(temp[['meanTempWarmest']], temp[['meanTempColdest']], tempScale = 10)

# compensated thermicity index
thermicityIndex(env[['bio_1']], env[['bio_6']], temp[['maxTempColdest']], ci, tempScale = 10)