R levelplot and interpolation [closed]

Question

some days ago I managed to make levelplots, with interpolation, with the following command within a script:

levelplot(jan~lon*lat,APM,main="Jan",panel=panel.levelplot.raster,interpolate=T)

I accidentaly did not keep that session, only the script, so it is not possible for me to go through the history and recover all the commands I had used.

Now, after loading latticeExtra, the same command produces an empty plot. On the other hand, leaving out the last two elements of the instruction, i.e.:

levelplot(jan~lon*lat,APM,main="Jan")

The graph is drawn.

I'd like to have interpolation at the surface, but something is going wrong with

panel=panel.levelplot.raster

the same behaviour happens when rasterVis is loaded. I guess I am missing something... any help?

The data has the following structure:

> head(APM)
    lat  lon  jan  feb  mar  apr  may  jun   jul   aug  sep  oct  nov  dec
1 -18.5 10.5 29.7 28.8 25.6 25.6 26.8 29.9  35.5  46.8 35.5 27.5 27.5 27.9
2 -17.5 10.5 28.8 29.8 26.3 26.2 27.8 31.6  39.7  63.1 40.4 27.6 27.6 28.3
3 -16.5 10.5 28.7 30.0 26.9 26.8 28.6 32.1  41.1 109.4 42.8 29.7 28.9 29.4
4 -15.5 10.5 28.4 29.5 27.5 26.9 29.1 34.2  46.4 109.5 40.8 29.7 29.7 28.5
5 -14.5 10.5 28.2 29.3 27.4 27.8 27.8 42.8  60.7 104.3 49.1 29.4 28.8 28.6
6 -13.5 10.5 27.8 28.4 27.7 28.3 29.8 41.2 102.8 105.7 47.8 29.5 28.5 28.0

totalling 224 cells listed by latitude and longitude:

> dput(APM)
structure(list(lat = c(-18.5, -17.5, -16.5, -15.5, -14.5, -13.5, 
-12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, 
-16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, 
-7.5, -6.5, -5.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, 
-11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, -16.5, 
-15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, 
-5.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, 
-10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, -16.5, -15.5, 
-14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, 
-18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, 
-9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, -16.5, -15.5, -14.5, 
-13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, 
-17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, 
-8.5, -7.5, -6.5, -5.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, 
-12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, 
-16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, 
-7.5, -6.5, -5.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, 
-11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, -16.5, 
-15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, 
-5.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, 
-10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -18.5, -17.5, -16.5, -15.5, 
-14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, 
-18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, 
-9.5, -8.5, -7.5, -6.5, -5.5), lon = c(10.5, 10.5, 10.5, 10.5, 
10.5, 10.5, 10.5, 10.5, 10.5, 10.5, 10.5, 10.5, 10.5, 10.5, 11.5, 
11.5, 11.5, 11.5, 11.5, 11.5, 11.5, 11.5, 11.5, 11.5, 11.5, 11.5, 
11.5, 11.5, 12.5, 12.5, 12.5, 12.5, 12.5, 12.5, 12.5, 12.5, 12.5, 
12.5, 12.5, 12.5, 12.5, 12.5, 13.5, 13.5, 13.5, 13.5, 13.5, 13.5, 
13.5, 13.5, 13.5, 13.5, 13.5, 13.5, 13.5, 13.5, 14.5, 14.5, 14.5, 
14.5, 14.5, 14.5, 14.5, 14.5, 14.5, 14.5, 14.5, 14.5, 14.5, 14.5, 
15.5, 15.5, 15.5, 15.5, 15.5, 15.5, 15.5, 15.5, 15.5, 15.5, 15.5, 
15.5, 15.5, 15.5, 16.5, 16.5, 16.5, 16.5, 16.5, 16.5, 16.5, 16.5, 
16.5, 16.5, 16.5, 16.5, 16.5, 16.5, 17.5, 17.5, 17.5, 17.5, 17.5, 
17.5, 17.5, 17.5, 17.5, 17.5, 17.5, 17.5, 17.5, 17.5, 18.5, 18.5, 
18.5, 18.5, 18.5, 18.5, 18.5, 18.5, 18.5, 18.5, 18.5, 18.5, 18.5, 
18.5, 19.5, 19.5, 19.5, 19.5, 19.5, 19.5, 19.5, 19.5, 19.5, 19.5, 
19.5, 19.5, 19.5, 19.5, 20.5, 20.5, 20.5, 20.5, 20.5, 20.5, 20.5, 
20.5, 20.5, 20.5, 20.5, 20.5, 20.5, 20.5, 21.5, 21.5, 21.5, 21.5, 
21.5, 21.5, 21.5, 21.5, 21.5, 21.5, 21.5, 21.5, 21.5, 21.5, 22.5, 
22.5, 22.5, 22.5, 22.5, 22.5, 22.5, 22.5, 22.5, 22.5, 22.5, 22.5, 
22.5, 22.5, 23.5, 23.5, 23.5, 23.5, 23.5, 23.5, 23.5, 23.5, 23.5, 
23.5, 23.5, 23.5, 23.5, 23.5, 24.5, 24.5, 24.5, 24.5, 24.5, 24.5, 
24.5, 24.5, 24.5, 24.5, 24.5, 24.5, 24.5, 24.5, 25.5, 25.5, 25.5, 
25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5, 25.5
), jan = c(29.7, 28.8, 28.7, 28.4, 28.2, 27.8, 28, 29.4, 30.3, 
32.5, 33.2, 33.5, 33.1, 34.3, 28.4, 29.4, 29.6, 29, 28.9, 28.8, 
28.5, 28.9, 29.9, 31, 32.2, 32.9, 35.8, 37.4, 30, 27.4, 29.6, 
30, 28.4, 30.6, 30.4, 29.9, 30.2, 31.3, 33.9, 35.5, 35.8, 34.5, 
30.3, 23.8, 25.2, 23.2, 22.9, 24, 27.2, 29.3, 31.6, 32.3, 31, 
31.4, 37.3, 37.4, 24.9, 25.1, 23.4, 21.2, 23.5, 22.8, 23.5, 24.5, 
26, 27.7, 28.6, 33.3, 37.3, 40.7, 37.9, 38.5, 27.1, 22.5, 24.7, 
23.3, 24.7, 24.8, 26.6, 27.4, 30.7, 33.9, 35.9, 37.6, 30.7, 29.5, 
26.6, 24.1, 24.1, 25.4, 25.4, 25.7, 28, 28.2, 32.9, 36.3, 35.2, 
40.4, 22.7, 25.5, 26.5, 24.6, 24.3, 24, 25.8, 26.7, 29.4, 31.8, 
35.4, 38, 37.4, 41.3, 22.2, 23.7, 26.8, 25.8, 25.3, 24, 25.1, 
26.9, 29.6, 31.8, 34.4, 35.6, 39.3, 40.1, 26.2, 26.2, 26, 25.8, 
25.3, 23.2, 24.5, 25.9, 26.9, 30.8, 33.3, 38.3, 40.2, 41.2, 26.9, 
26.4, 27.1, 23.1, 22.9, 24, 28.5, 26.9, 27.1, 31, 32.7, 36.6, 
38, 41.6, 26.6, 27.2, 27.3, 26, 23.6, 25.8, 33.2, 33.8, 25.8, 
28.1, 31.6, 34.7, 35.3, 38.5, 27.3, 28.1, 28.6, 27, 31.5, 31.8, 
29.9, 27.6, 25.4, 28.4, 29.8, 32.2, 36.4, 36.8, 28.2, 26.2, 27.3, 
27, 27.1, 23.7, 23.5, 25.3, 26.1, 29, 29.3, 29.3, 36.4, 35.1, 
24.2, 25.1, 23.5, 23.1, 24, 24.2, 24.3, 26.7, 26.7, 26.8, 29.3, 
30.4, 33.3, 33.4, 24.8, 24.3, 24.5, 24.8, 26.1, 24.6, 25, 25.3, 
27.2, 26.8, 28.9, 30.5, 31.2, 33.1), feb = c(28.8, 29.8, 30, 
29.5, 29.3, 28.4, 28.6, 28.7, 28.7, 28.5, 29.4, 32.2, 34.4, 37.4, 
29.4, 30.5, 30.8, 30.7, 29.6, 28.3, 28, 28.4, 28.4, 29, 29.5, 
31.4, 33.3, 37.1, 31.7, 26.5, 29.8, 30.4, 28.4, 28.9, 27.7, 27.8, 
29.3, 30, 30.4, 31.7, 32.9, 34.7, 29.1, 23.5, 24.2, 23.3, 22.7, 
23.6, 25.4, 26.4, 27.7, 28.1, 26.9, 27.5, 30.4, 31.6, 22.3, 24.7, 
23.7, 21.2, 23.4, 22.5, 22.3, 21.7, 23.2, 23.3, 23.2, 27.5, 31.6, 
34, 33, 33.3, 26.3, 22.5, 23.9, 24, 24.5, 23.7, 24.2, 24.5, 25.4, 
27.8, 31, 33.4, 29.3, 27.5, 24.7, 23.2, 23.5, 24.7, 25.7, 25.4, 
25.8, 25.6, 27.2, 30.7, 30.4, 35, 21.4, 23.3, 24.1, 24.7, 25.2, 
25.2, 25.6, 25.9, 27.7, 26.9, 30.1, 31.5, 32, 34.5, 20.2, 22.4, 
24.9, 25.1, 25.3, 25.5, 24.1, 25.8, 26.2, 28.4, 29.3, 30.9, 33.5, 
35.6, 24.3, 24.2, 24, 24.5, 24.9, 24.7, 23.8, 25, 26.2, 27.1, 
29.9, 31.3, 34.6, 34.7, 25.3, 23.6, 24.9, 22.6, 23.1, 23.1, 25.3, 
26.8, 24.9, 25.1, 28.1, 30.7, 32.1, 34.2, 24, 23.4, 24.6, 25.6, 
24.9, 26.4, 30.6, 31.2, 22.2, 23.9, 27.6, 30.8, 29.1, 29.7, 24, 
23.6, 25.4, 25.8, 29.9, 29.5, 27.2, 26.3, 23.5, 24.5, 25.6, 27, 
28.9, 28.3, 24.4, 22, 23.4, 24.9, 25.4, 22.7, 23, 23, 22.4, 23.7, 
24.6, 24.9, 29.8, 28.5, 21.3, 22.8, 21.3, 21.1, 21.7, 22.8, 24.4, 
23.2, 23.3, 22.4, 25.4, 26.3, 27.3, 27.1, 22.8, 22.1, 21.4, 21.9, 
24.1, 24.1, 26, 23.5, 23.8, 22.5, 23, 24.9, 26.5, 28)), .Names = c("lat", 
"lon", "jan", "feb"), row.names = c(NA, 
-224L))

Sacred

A reproducible example of the irreproducible plot might help! – Undo

hello thanks for the interest. just updated the question with an example on how the data is actually structured. Hope that helps. – Sacred

In the snippet of your data, there is no variation in lon. This makes the irreproducibility reproducible (warnings are produced and there is nothing in the plotting window) and may be the cause of your problems. If there is variation in lon in your full dataset, please consider replacing the results of head(APM) with the results of dput(APM). – Undo

The plot works with the first 152 entries of lat, lon and jan that can be garnered from what you posted (dput was cut off...). AGAIN, please post a reproducible example of your problem. – Undo

thanks again for your interest. I do not think there is an issue with the data itself, as plotting a levelplot of jan versus lat and lon without interpolating goes fine. – Sacred

Answer 1

The following produces a plot in a fresh interactive session of R

APM <- results of dput(APM) from the OP

library(latticeExtra)

levelplot(jan~lon*lat,APM,main="Jan",panel=panel.levelplot.raster,interpolate=T)

or alternatively

levelplot(jan~lon*lat,APM,main="Jan",interpolate=TRUE, useRaster = TRUE)

If this is not working for you, check to see if you have the latest versions of the packages in question; for example,

R version 2.15.2 (2012-10-26)
latticeExtra_0.6-24
lattice_0.20-10
RColorBrewer_1.0-5

If the problem still is not resolved, there's something else that hasn't been mentioned in this post.

Undo

simply solved by updating the packages. Thanks very much for your time. – Sacred