Hi, I', trying to implement a series of species distribution models. I
am working with seasonal data and as I want to project them to several
different scenarios, i need to use strictly samples with data format. I
have extracted the background and pseudoabsences points from their
corresponding
Peter,
I wanted to report that I've found another workaround. If you create a
view in spatialite (pick your interface), that view can then be
registered as spatial and loaded via rgdal readOGR:
1. CREATE VIEW with a geometry column
2. INSERT a record into views_geometry_columns for that view
Look
Hi all,
I have fitted spherical, Gaussian, exponential, and linear theoretical
model to empirical semivariogram. how do I assess the goodness of fit of
these models.
Thanks
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Thanks. Having installed the package, I no longer received the error
message.
Moshood
On Sun, Aug 11, 2013 at 8:35 PM, Pascal Oettli wrote:
> Hello,
>
> Why don't you read the warning message? It is said "there is no package
> called RANN". Install it...
>
> Regards,
> Pascal
>
>
>
> 2013/8
Hello,
Why don't you read the warning message? It is said "there is no package
called RANN". Install it...
Regards,
Pascal
2013/8/12 Moshood Agba Bakare
> Dear All,
> I am trying to choose k nearest neighbors in order to assign neighbors
> based on the distance. This is just a preliminary
Dear All,
I am trying to choose k nearest neighbors in order to assign neighbors
based on the distance. This is just a preliminary approach to use moran
scatterplot to filter out the yield values that appear grossly discordant.
Choose K nearest points as neighbors
cords <- coordinates(canocro
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zerodist and zerodist2 give wrong results when data are longlat;
please try using sp from r-forge for this; see
https://r-forge.r-project.org/R/?group_id=1014
On 08/07/2013 09:41 AM, ElenaC wrote:
> Thanks Jesse,
>
> the issue does indeed seem to be
Sorry for the replicates, but I am not sure that my previous message was
sent.
Hi members,
I would like to superpose a raster stack and some contour lines (several
pannels).
It is possible with rasterVis :
levelplot()+contourplot()
But I would like to do it with plot (much faster) :
plot()
and
