Borys Jurgiel wrote:
Agustin Lobo wrote:
Not sure what you mean here, losing spatial information once in R?
Sorry for my English, I was uncler in fact. Yes, losing, but only as an second
option when you don't need any spatial capabilities. It is faster and allows
export any loaded layer (see limitations I said previously).
Now night is coming to an end at Carson's, so let's look for the Update ;)
Sorry to disappoint Borys, but I didn't quite get the time to implement
this last night (Thesis has taken priority this week...)
Will let you know when it's ready : )
cfarmer wrote:
Not a cyborg, but I did give up sleep about a month ago ;)
;-)
Hmm, I don't use GRASS a lot, so I didn't implement this, but now that you
mention it, it's probably a good idea. Unfortunately (and again, in this
case I'm stuck with OGR drivers here for now) GRASS layers are read only
AFAIK. So maybe I'll set it up so that you can read them in, and then
export them to one of the other org formats...?
It will be great. I think saving is not a problem - even shp and geotiff
should be sufficient at the start, and manageR provides much more!
Cool, well I'll try to add this at the same time then...
This is my dream as well. I don't know C though, so I don't know how I
would write a function to convert say a QgsVectorLayer to a sp
Spatial*DataFrame? Anyone wanna give it a go?
I was talking rather about future - if we want to keep QGIS as much modular as
we can, I think the best way may be reading and writing directly from/to
QgsMapLayer and leaving all the format handling to provider plugins. What do
you think? Maybe I don't consider all threats (memory usage, specifity of
QgsMapLayer, risk of layer changing by user (in other thread) during long
analysis process...)
I think this is a very good idea, and I will implement this later tonight.
Look for an updated manageR with an added button to load only attributes.
I'm looking at kwordclock and it's still dark at Victoria... :(
:D
Great! The more the merrier. This is a cool project, and I think it can
really set QGIS apart as an all-in-one spatial analysis solution!
I use QGIS for few years, but what is happening now is amazing ;) With all the
external tools and easiness/power of Python/C, we have so huge potential,
that I use GRASS rarely and rarely.
Cheers!
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