regdata: Dynamic and static covariates for spatio-temporal regression...

Description Usage Format Author(s) Examples

Description

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.

Usage

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Format

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

[email protected]$dem

numeric; elevation data obtained from Worldgrids (http://worldgrids.org/)

[email protected]$twi

numeric; SAGA Topographic Wetness Index (TWI) from Worldgrids (http://worldgrids.org/)

Author(s)

Milan Kilibarda [email protected]

Examples

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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

meteo documentation built on May 2, 2019, 3:29 p.m.