climdat.fut: Future climate data
In rinnan/fraster: Fast manipulation of raster objects
Description
Usage
Format
Source
See Also
Description
Future climate dataset of 10 bioclimate variables (www.worldclim.org).
Based on the MIROC5 GCM projections under the RCP8.5 scenario for 2050.
Usage
1
Format
A RasterBrick with 10 layers:
- MDR
mean diurnal range (mean of monthly max temp - min temp)
- ISO
isothermality (MDR/TAR * 100)
- TS
temperature seasonality (sd monthly temp * 100)
- HMmax
max temp of warmest month
- CMmin
min temp of coldest month
- PWM
precip of wettest month
- PDM
precip of driest month
- PS
precip seasonality (sd/mean monthly precip)
- PWQ
precip of wettest quarter
- PDQ
precip of driest quarter
Source
See Also
rinnan/fraster documentation built on May 22, 2020, 11:36 p.m.
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Description Usage Format Source See Also
Description
Future climate dataset of 10 bioclimate variables (www.worldclim.org). Based on the MIROC5 GCM projections under the RCP8.5 scenario for 2050.
Usage
1 |
Format
A RasterBrick with 10 layers:
- MDR
mean diurnal range (mean of monthly max temp - min temp)
- ISO
isothermality (MDR/TAR * 100)
- TS
temperature seasonality (sd monthly temp * 100)
- HMmax
max temp of warmest month
- CMmin
min temp of coldest month
- PWM
precip of wettest month
- PDM
precip of driest month
- PS
precip seasonality (sd/mean monthly precip)
- PWQ
precip of wettest quarter
- PDQ
precip of driest quarter
Source
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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