It allows merging satellite-based or model-based grided images (in raster format) with ground-based observed time-series (in zoo format). This function is a wrapper for the function which allows to combine a product-based image with an interpolated image from observations for a single time step.
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x |
data.frame with the ground-based observation in time series format. Every column must represent one ground-based station and the codes of the stations must be provided as colnames. class(data) must be zoo. |
x.metadata |
data.frame with the ground-based stations' metadata. At least, it MUST have the following 3 columns: id: This column stores the unique identifier (ID) of each ground observation. Default value is "id". lat: This column stores the latitude of each ground observation. Default value is "lat". lon: This column stores the longitude of each ground observation. Default value is "lon". |
v |
The satellite-based or model-based gridded images (in raster format, see raster). It can be a RasterStack or RasterBrick object since it is supposed to containe multiple layers (time series). |
lat |
A character string with the name of the column in x.metadata where the latitude of the stations is stored. |
lon |
A character string with the name of the column in x.metadata where the longitude of the stations is stored. |
drty.out |
A character string with the full path to the directory where the final merged products will be exported |
verbose |
A logical which indicates if information messages are to be printed. By default |
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