sf::st_sample has a size argument, which can be specified as a vector to
operate per feature. If you give that a value equal to
st_area(obj) * obj$required_density
and maybe set exact = FALSE, you should get the densities you want.
On 7/30/19 12:25 AM, Tyler Frazier via R-sig-Geo wrote:
> Hi All
Hard to tell from your script. Maybe give a reproducible example?
On 8/6/19 1:07 PM, Emanuele Barca wrote:
> Dear r-sig-geo friends,
>
> I produced two maps garnered in the following way:
>
> # for regression-kriging
> Piezo.map <-autoKrige(LivStat ~ Z, input_data = mydata.sp, new_data
> = cov
Dear list,
I am trying to run a Spatial Durbin Error Model without intercept, however,
I do get an error:
In spatialreg::errorsarlm(formula = formula, data = data, listw = listw, :
model configuration issue: no total impacts
This is what I am doing:
library(spatialreg)
library(spdep)
data(o
On Fri, 9 Aug 2019, Rolando Valdez wrote:
Dear list,
I am trying to run a Spatial Durbin Error Model without intercept, however,
I do get an error:
In spatialreg::errorsarlm(formula = formula, data = data, listw = listw, :
model configuration issue: no total impacts
I can reproduce the pro
And for completeness (https://github.com/r-spatial/spatialreg/issues/7):
> dem <- lmSLX(eq, data = COL.OLD, listw = W)
Error in lmSLX(eq, data = COL.OLD, listw = W) :
object 'dirImps' not found
In addition: Warning message:
In lmSLX(eq, data = COL.OLD, listw = W) :
model configuration issue:
