monitoring: Performs the monitoring component of a r2dRue analysis as specified by its associated parameters

Description

Compute a stepwise regression of vegetation index over aridity index and year order-number. As many points as available hydrological years are made from annual means of these variables, which are first computed from their respective time-series. The results are then saved to corresponding raster files. A batch operation is parameterised from the r2dRue current memory settings (see read2dRfile and showInfo). Rudimentary bars show the computation in progress.

Usage

monitoring(o)

Arguments

A r2dRue Object

Value

index: individual label for each grid cell
effect_time: rate of change in std.dev. of vegetation index per one std.dev. of time; zero if non significant
effect_arid: rate of change in std.dev. of vegetation index per one std.dev. of aridity; zero if non significant
veg_response: significant response of vegetation index to time (1), aridity (2), both (3) or none (4)
ta_single: single correlation coefficient of time and aridity; zero if non significant
tv_single: single correlation coefficient of time and vegetation index; zero if non significant
av_single: single correlation coefficient of aridity and vegetation index; zero if non significant
viMe yyyy: mean annual vegetation index corresponding to year yyyy
aiMeyyyy: mean annual aridity index corresponding to year yyyy
timeyyyy: dummy raster containing year yyyy in each grid cell

Details

The following r2dRue functions are involved in this computation. Local parameters are left with their respective default values, except those specified in the parameters file as displayed by showInfo:

References

del Barrio, G., Puigdefabregas, J. Sanjuan, M.E., Stellmes, M. & Ruiz, A. (2010). Assessment and monitoring of land condition in the Iberian Peninsula, 1989-2000. Remote Sensing of Environment, 114: 1817-1832 http://dx.doi.org/10.1016/j.rse.2010.03.009

Sokal, R. R., & Rohlf, F. J. (1995). Biometry. New York: W.H. Freeman and Co.