Image vs ggplot：如何绘制颜色图例？

Question

Hi I have a matrix 37x73 that represent one variable (moavg) gridded with a 10x10 deg spacing (-180< LON< 180 e -90 < LAT< 90). I am able to plot it using image

image(LON, LAT, moavg)

but I can't display the colour bar. I would like to know if there is another function to do that (maybe ggplot) that allows me also to plot the colour legend.

Many thanks

Answer 1

With regards to this answer :

library(fields)
image.plot(lon, lat, moavg, col=heat.colors(8))

PS: Please be so kind to provide a reproducible example in your question. Here's how it works .

Answer 2

For plotting gridded spatial data, the raster and rasterVis packages are also useful.

Here are a couple of examples:

library(rasterVis) # this will also load the raster package

# Create a raster from a matrix of dummy data
m <- matrix(runif(36*18), ncol=36)
r <- raster(m)

# Set the extent of the object
extent(r) <- c(-180, 180, -90, 90)

# plot with raster
plot(r)

# plot with rasterVis
levelplot(r, margin=FALSE)

If your gridded data exists in a file (eg .asc, .tif, etc.), then you can load it by giving raster() a file path, eg raster('C:/path/to/moavg.asc') , and you shouldn't need to set the extent in that case since the file should contain this metadata.

See ?raster and ?levelplot for more details.

Plotting with raster

Plotting with levelplot

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EDIT

To address the extension to this question found in the comments, here is one way to overlay a polygon:

library(maps)
levelplot(r, xlab='longitude', ylab='latitude', margin=FALSE,
            panel = function(x, y, ...) {
              panel.levelplot(x, y,  ...)
              mp <- map("world", plot = FALSE, fill=TRUE)
              lpolygon(mp$x, mp$y)
            })