why ggplot and geom_tile create lines on the map?-CodePudding

Data: https://github.com/yuliaUU/data/blob/main/test.csv

griddf <- read_csv("test.csv")

create a map:

world <- rnaturalearth::ne_countries(scale = "medium", returnclass = "sf")  # add continents
ggplot() 
         geom_tile(data = Data |> dplyr::filter(Model.1=="RF"), aes(x = Lon, y = Lat, fill= value/1000)) geom_sf(data=world) 
            viridis:: scale_fill_viridis(option = "H", na.value = NA)  
            labs(fill="Probability") 
            facet_wrap(~ Model.1)

My issue is that it creates a map with "lines" which I do not understand why. I know it has something to do with irregular grid I am using ( all grid cell should be equal area)

and when I add different projection:

   coord_sf(crs = ' proj=moll')

I get nothing plotted

CodePudding user response：

You basically answered the question yourself - your data is too granular. For a more "complete" look, you might want to 2d-interpolate the values. Here, I am using akima::interp, but there are other functions out there - this is not the place to discuss which is the best to use.

library(ggplot2)
griddf <- read.csv(url("https://raw.githubusercontent.com/yuliaUU/data/main/test.csv"))

world <- rnaturalearth::ne_countries(scale = "medium", returnclass = "sf")  # add continents

val_interpol <- with(griddf, akima::interp(Lon, Lat, value, xo = -180:180, yo = -90:90))
#> Warning in akima::interp(Lon, Lat, value, xo = -180:180, yo = -90:90): collinear
#> points, trying to add some jitter to avoid colinearities!
#> Warning in akima::interp(Lon, Lat, value, xo = -180:180, yo = -90:90): success:
#> collinearities reduced through jitter
## thanks Akrun https://stackoverflow.com/q/58123551/7941188
## matrix doesn't allow negative values for subsetting
d1 <- expand.grid(x = 1:361, y = 1:181) 
out <- transform(d1, z = val_interpol$z[as.matrix(d1)])
out$x <- out$x-181
out$y <- out$y-91

ggplot() 
  geom_raster(data = out , aes(x = x, y = y, fill= z), interpolate = TRUE) 
  geom_sf(data=world) 
  labs(title=paste0("Swordfish Probability of Occurance"), 
       x="", y="", subtitle="data from 2000-present (0.5x0.5 grid)") 
  viridis:: scale_fill_viridis(option = "H", na.value = "black")

^{Created on 2022-05-06 by the reprex package (v2.0.1)}