The raster package can readily provide bilinear interpolation:
library(raster)
r <- rasterFromXY(df)
## due diligence, just a guess here you should check
## projection(r) <- "+proj=utm +zone=32 +datum=WGS84"
## coordinates to extract
m <- matrix(c( 3454263, 5970687), ncol = 2)
extract(r, m, meth
I believe the interpp() function from the akima package will do what you
want.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 7/28/14, 6:07 AM, "Kulupp" wrote:
>Dear R-experts,
>
>I have a regular grid dataframe (here
Hi,
The area of statistics you're looking for is called geostatistics.
There are many R packages to conduct such analyses. See the Spatial
task view for some good starting points:
http://cran.r-project.org/web/views/Spatial.html
You'll need to do some homework to understand the various options a
Dear R-experts,
I have a regular grid dataframe (here: the first 50 rows) :
# data frame (regular grid) with x, y (UTM-coordinates) and z (depth)
# x=UTM coordinates (easting, zone 32)
# y=UTM coordinates (northing, zone 32)
# z=river-depth (meters)
df <- data.frame(x=c(3454240, 3454240, 3454240
4 matches
Mail list logo