I have a 2D footprint result for an eddy-covariance system on a 1100*1100 square meter, with the domain of
domain = c(-100,1000,-100, 1000)
the cell size of the domain (each grid) is 2 meters with the origin (0,0) accordingly on this location:
Lon = -97.191391 #longtitude
Lat = 36.055935 #latitude
An example data (9.01 Mb) is attached here. FFP.rds
then I can plot a Bing map on my site as this:
library(OpenStreetMap)
library(rgdal)
map <- openmap(c(36.05778,-97.19250), c(36.05444,-97.18861),type='bing')
plot(map)
and I use image.plot() from package "fields" to plot the footprint with these following codes:
library(fields)
str(FFP$fclim_2d)
image.plot(FFP$x_2d[1,],FFP$y_2d[,1],FFP$fclim_2d)
But I am wondering how to scale each grid of my footprint result to Bing map (or google map).
Any suggestions would be greatly appreciated.