Hi Andy,
try the geom_sf (not sure now but probably you would need the dev. version
of ggplot2).
Check http://ggplot2.tidyverse.org/reference/ggsf.html
library(maps)
world1 <- sf::st_as_sf(map('world', plot = FALSE, fill = TRUE))
ggplot() + geom_sf(data = world1)
Projected:
ggplot() +
geom_sf(
Dear all,
I would like to perform interpolation of my data, using kriging. I am
pretty new to this field, I would appreciate any advice.
After reading various sources about how to do this kind of analysis in R, i
came out with the code below. What I am struggling with, is the selection
of the "co
; 45 382727.9
> 50 452100.7
> 55 532989.0
> 60 625501.5
> 65 727065.3
> 70 840175.7
> 75 967684.5
> 80 777.1
> 85 1282512.1
> 90 1506315.1
> 95 1861067.6
>
> This website is helpful
>
> http://r.789695.n4.nabble.com/**Converiting-longitude-**
> lat
Hi,
I would like to calculate kernel areas using kernel.area function from
adehabitat package.
My original coordintes are in latidude/longitude. I suppose that as an
input for the function the coordinates should be in other fomat - I assume
it is UTM coordinates (seeing the example in help, I ha
Finally, the spplot call: the main object to be displayed is the
> ## SpatialPointsDataFrame. The region limits and the map layers are
> ## printed with sp.layout.
> spplot(myPoints,
>scales=list(draw=TRUE), key.space='right',
>sp.layout=list(sp.raster, sp.li
kages) with an SpatialPointsDataFrame displayed with spplot.
>
> Could you send a sample of your data to give you a better answer?
>
> Best,
>
> Oscar.
>
> --
> Oscar Perpiñán Lamigueiro
> Grupo de Sistemas Fotovoltaicos (IES-UPM)
> Dpto. Ingeniería Eléctri
Hi,
I would like to ask some questions... My aim is produce nice maps of
distribution (kernels) of my studied species. So far I have been using
"rworldmap" to get general view, but for presentation I would like to make
the maps more beautiful :)
I was able to get the Google maps (using "dismo" pac
