Hi Brian,
maybe you could also have a look at the wind.shelter function in the
RSAGA package? It gives you an index for the exposure/shelter of a
surface to the wind and works quite well.
Of course, this does not really solve your code problem, but might be a
faster alternative...
Regards,
Sorry for simple question.
Is it correct to say that a CAR model is a spatial lag model and a SAR
model is a error spatial model.?
I revised some literature where these concepts are not changed.
Ivan
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On Sat, 15 Feb 2014, Luis Iván Ortiz Valencia wrote:
Sorry for simple question.
Is it correct to say that a CAR model is a spatial lag model and a SAR
model is a error spatial model.?
No, it is not. The spatial lag and spatial error models are both SAR -
simultaneous autoregressive, while
Hi Brian:
Couple of things: first, viewshed analyses are notoriously complicated
and result in decidedly non-embarassingly parallel problem. A lot of
the most efficient solutions I've seen involve GPU processing.
With that said, you might want to try to port this to my rasterEngine
framework
Hello,
Although it is a different problem, maybe our solution for downscaling
of global solar irradiation is useful for you. It is documented in
this arXiv paper: http://arxiv.org/abs/1311.7235. The code is here:
https://github.com/EDMANSolar/downscaling/blob/master/code.R (horizon
blocking with
Dear colleagues,
I'm using adehabitatLT for the first time analyzing jaguar movements in
amazon. I'm running runsNAltraj to detect any autocorrelation in the
location of missing relocations. But I'm a beginner in this task and I'm
not knowing to how to interpret the graph generated by this
Brian,
Here is, I think, an improved version. Your code had many steps that
could be simplified; but removing the inner loop was key, as you
indicated. For the one example I used, this one is 150 times faster.
More could be done (e.g. by using data.table) and it could be made
memory safe for
Hello!
I have space-time data frame. Here are the first few rows:
name indexlon lat
1 Abilene,TX 95.285 -99.73314 32.44874
2 Abilene,TX 98.603 -99.73314 32.44874
3 Abilene,TX 100.197 -99.73314 32.44874
4 Abilene,TX 102.016 -99.73314
Just figured it out:
unique(cbind(bigz$lon,bigz$lat))
Nothing like posting to the list to help you solve a problem.
thanks,
Erin
From: r-sig-geo-boun...@r-project.org [r-sig-geo-boun...@r-project.org] on
behalf of Hodgess, Erin [hodge...@uhd.edu]
