# tgeom2STFDF: Calculate geometrical temperature trend In meteo: Spatio-Temporal Analysis and Mapping of Meteorological Observations

## Description

Calculate geometrical temperature trend for mean, minimum or maximum temperature.

## Usage

 `1` ```tgeom2STFDF(grid, time, variable = "mean",ab=NULL) ```

## Arguments

 `grid` object of Spatial-class (Points, Grid or Pixels) with associated coordinate reference systems (CRS-class). If CRS is not defined longitude latitude is assumed. `time` object holding time information, reasonably it is day (calendar date), or vector of days `variable` character;`'mean'`, `'min'` or `'max'` ; geometrical temperature trend is calculated for mean, minimum or maximum; `'mean'` is default. `ab` Predefined coefficients to be used instead of incorporated.

## Value

STFDF object with calculated `temp_geo` geometrical temperature trend. The calculated values are stored in `obj@data` slot.

## Author(s)

Milan Kilibarda kili@grf.bg.ac.rs

## References

Kilibarda, M., T. Hengl, G. B. M. Heuvelink, B. Graeler, E. Pebesma, M. Percec Tadic, and B. Bajat (2014), Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution, J. Geophys. Res. Atmos., 119, 2294-2313, doi:10.1002/2013JD020803.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24``` ```library(sp) library(spacetime) ## create one point from lon lat pos <- SpatialPoints(coords = cbind(19.22,45.33)) ## temp_geom for 1st Jan 2011 tg1 <- tgeom2STFDF(pos,as.POSIXct("2011-01-01") ) tg1 ## temp_geom for the 2011 at pos location tg365<- tgeom2STFDF(pos,time = seq(as.POSIXct("2011-01-01"), as.POSIXct("2011-12-31"), by="day") ) stplot(tg365, mode='ts') data(regdata) ## DEM and TWI data for Serbia at 1 km resolution # str(regdata@sp) spplot(regdata@sp, zcol='dem', col.regions=bpy.colors() ) ## temp_geom for Serbia 1st and 2nd Jully 2011 tgSrb<- tgeom2STFDF(regdata@sp,time = seq(as.POSIXct("2011-07-01"), as.POSIXct("2011-07-02"), by="day") ) ## temp_geom for "2011-07-01" , "2011-07-02" # stplot(tgSrb, col.regions = bpy.colors() ) ```

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