On Fri, Apr 12, 2019 at 6:16 PM Marta Rufino
wrote:
> Hi,
>
> Now, the next issue will be how to transform the huge world wide sf points
> (that are actually 32 classes) into a 'multipolygons' sf. Maybe I should do
> a new post with a reproducible example for this new challenge, if I don't
>
Hi Eric,
Ah, I apologize, and thank you for your response!
I just figured out a way to average my x-values, so at least that is solved. I
will still include the data for the two variables (1-dimensional) of interest
that I was trying to average, just to show what was done:
get2.teratons #(90
Thanks a lot !
Le ven. 12 avr. 2019 à 15:05, Micha Silver a écrit :
>
> On 12/04/2019 15:15, Mathieu Rajerison wrote:
>
> Hi List,
>
> I try to get the list of rasters which are in my working environment but
> the result of execGRASS("g.list") is an integer, not a character vector
>
> Why is
On 12/04/2019 15:15, Mathieu Rajerison
wrote:
Hi List,
I try to get the list of rasters which are in my working environment but
the result of execGRASS("g.list") is an integer, not a character vector
Why is that ?
execGRASS("g.list",
Hi List,
I try to get the list of rasters which are in my working environment but
the result of execGRASS("g.list") is an integer, not a character vector
Why is that ?
> execGRASS("g.list", type="raster", pattern="global*") %>% class()
global_glob_rad_day1
global_glob_rad_day2
Thanks; not sure this is what is intended, but it seemed to work:
> library(sf)
Linking to GEOS 3.7.0, GDAL 2.4.0, PROJ 5.2.0
> r = st_read("EMU.gpkg", query =
"select * from EMU_Master where depth_lvl = 1")
Reading layer `EMU_Master' from data source
`/home/edzer/Downloads/EMU.gpkg' using