Message-ID: <538D7B46.4000203@uni-muenster.de>
Date: 2014-06-03T07:37:42Z
From: Edzer Pebesma
Subject: (Linear) interpolation in three (or more) dimensions
In-Reply-To: <CAGBzUO8cvxV3iWBzNSoB=422GH_i8Sqa1za2fOiD16r23t6w3Q@mail.gmail.com>
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 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 space-time kriging, if memory limitations
> permit. But before I go that far, I would like to do a simple 3D linear
> interpolation to fill the gaps i.e interpolating the temperature at the
> missing (lon, lat, time) points.
>
> The akima package does an excellent job of this in 2D, but doesn't support
> higher dimensionality. Does anyone know of a function that supports three
> or more dimensions?
>
> Mark
>
> [[alternative HTML version deleted]]
>
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--
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of M?nster
Heisenbergstra?e 2, 48149 M?nster, Germany. Phone: +49 251
83 33081 http://ifgi.uni-muenster.de GPG key ID 0xAC227795
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