Hi,
I have a dataset that consists of satellite observations on a regular
lon-lat grid at taken at regularly time pointts. Unfortunately due to cloud
cover, there are gaps dispersed semi-randomly throughout the 3D data array.
I would like to fill these gaps.
The best solution I guess is
Hello Mark,
The DINEOF method is designed for problems as yours.
There is an implementation in R here
(http://menugget.blogspot.de/2012/10/dineof-data-interpolating-empirical.html)
but it doesn't directly work on Raster* object.
Hope this helps,
Pascal
On Tue, Jun 3, 2014 at 3:27 PM, Mark
package gstat offers simple 3D interpolation (idw, kriging), e.g.
library(gstat)
example(gstat3D)
and also spatio-temporal kriging; some memory limitations there may be
dealt with by using local kriging (see ?krigeST).
On 06/03/2014 08:27 AM, Mark Payne wrote:
Hi,
I have a dataset that
