I guess the problem is that if you represent a regular raster with
polygons, and the polygons won't tell you for points falling on polygon
edges or nodes that they should intersect with only one, rather than
with two (edge) or four (nodes) polygons.
The reprex below shows the difference of doing a
On 5/6/19 12:23 PM, Edzer Pebesma wrote:
> # raster does the same as stars:
That was too quick: raster::extract returns cell values,
stars::st_intersects returns cell indexes. If we fill the raster with
values 100:1 rather than 1:100, we see
library(stars)
# Loading required package: abind
# Lo
> Dear Roger,
>
> Thank you very much for your fast response.
>
> My weight matrix stems from a rectangular (but not square) grid. So, I think
> I will have to use the „LU“ method.
>
> However, by doing that several other error messages popped up. The first one
> was the following:
>
> Erro
On Mon, 6 May 2019, Raphael Mesaric via R-sig-Geo wrote:
Dear Roger,
Thank you very much for your fast response.
My weight matrix stems from a rectangular (but not square) grid. So, I
think I will have to use the „LU“ method.
No, this is a misunderstanding. All weights matrices used for f
Dear all,
I need to extract texture and bulk density data for Brazil, in order to
convert it to soil hydraulic parameters using PTF functions. I read in soil
grids website that for this kind of evaluation is better to use "tile"
data. How can I perform that? I Couldn't find a manual for that. (I
Hi Eliza,
The gsif.isric.org tutorials have been migrated to:
https://envirometrix.github.io/PredictiveSoilMapping/
Soil texture fractions and bulk density you can now download directly
from e.g.:
https://landgis.opengeohub.org/#/?base=Stamen%20(OpenStreetMap)¢er=-12.8118,-54.3164&zoom=5&
Dear Roger,
Thank you again for your fast response and the helpful answers and
clarifications. I will try to resolve all the issues with your recommendations
in the coming days.
Just a few comments here:
I created the listw object by nb2listw() (without any error messages) and set
„zero.polic