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<div>Hello,</div>
<div> </div>
<div>I understand the grid parameter of the kernelbb function as the splitting parameter.</div>
<div>This grid parameter appears in one of the two values for the cells dimension of the grid on which the UD is estimated.</div>
<div> </div>
<div>I just wonder if there is a way to directly select the grid cell size for kernelbb?</div>
<div> </div>
<div>I'd like to produce 53m cells on which the UD should be estimated.</div>
<div>Until now I achieve approximately 53m with this equation:</div>
<div> </div>
<div>data(puechcirc)</div>
<div>x<-puechcirc[1]</div>
<div> </div>
<div>
<div>Rx<-range(x[[1]]$x[-which(is.na(x[[1]]$x))])</div>
<div>Ry<-range(x[[1]]$y[-which(is.na(x[[1]]$y))])</div>
<div>grid<-round(max(c(diff(Rx), diff(Ry)))/26.5)</div>
<div> </div>
<div>
<div>bbmm<-kernelbb(x, sig1=6.23, sig2=58, grid=grid)<br/>
bbmm@grid<br/>
# Var2 Var1<br/>
#cellcentre.offset 699072.00000 3.156045e+06<br/>
#cellsize 53.43 53.43<br/>
#cells.dim 43.0 72.0</div>
<div> </div>
<div>I would appreciate any hint or feedback on my solution.</div>
<div>Best,</div>
<div>Ena Kenev</div>
<div> </div>
</div>
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