regdata {meteo} | R Documentation |
Dynamic and static covariates for spatio-temporal regression kriging of STFDF-class. The regdata
contains geometrical temperature trend, MODIS LST 8-day splined at daily resolution, elevation and topographic wetness index.
data(regdata)
The regdata
contains the following dynamic and static covariates:
regdata$temp_geo
numeric; geometrical temperature trend for mean temperature, calculated with tgeom2STFDF
; from 2011-07-05 to 2011-07-09, in degree Celsius
regdata$modis
numeric; MODIS LST 8-day splined at daily resolution, missing pixels are filtered by spatial splines and 8-day values are splined at daily level; from 2011-07-05 to 2011-07-09, in degree Celsius
regdata@sp$dem
numeric; elevation data obtained from Worldgrids (http://worldgrids.org/)
regdata@sp$twi
numeric; SAGA Topographic Wetness Index (TWI) from Worldgrids (http://worldgrids.org/)
Milan Kilibarda kili@grf.bg.ac.rs
data(regdata) str(regdata) library(sp) # spplot library(spacetime) # stplot stplot(regdata[,,'modis']) # plot modis data spplot(regdata@sp,zcol='twi', col.regions = bpy.colors() ) # plot TWI spplot(regdata@sp,zcol='dem', col.regions = bpy.colors() ) # plot dem