G'day all,
I have been using the ppm() function to try (mainly successfully) to fit an
outbreak pattern from the spatstat library (1-22)
This was giving me results that were consistent with my observations, showing a
trend related to a village density and increasing towards the east of the
reg
Julia,
>From you initial question I had assumed you had 91 sub-field observations but
>your latest response has me questioning if I understood the original question.
> Are your 91 observations in a single field or do you have 91 separate fields
>across a larger geographic region? I've added ano
Hi,
I'm just wondering if it's possible, in R, to modify a shapefile's
coordinates?
I've shapefiles for each state/territory of Australia, and in them there
are local government areas coordinates. Using readShapePoly(), I am
able to read them in and plot each state with its local governmen
All,
I'm trying to get some .wms info to plug into a process I have developed in
R.
Has anyone tried to implement "r.in.wms" via R opened within GRASS? Here is
my swing at it.
http://r-sig-geo.2731867.n2.nabble.com/file/n6600318/question_to_r-sig_re_wms.txt
question_to_r-sig_re_wms.txt
the er
Dear Roger,
I now used Google Maps to obtain (hopefully) more accurate coordinates of the
areas. As it turns out, only for 44 out of the 91 areas, the coordinates seem
to make sense/ were available. So I am now only looking at "mydata" which only
contains 44 data points that are no longer repre
On Tue, 19 Jul 2011, Julia Dechamps wrote:
Dear Roger,
Thank you very much for your quick reply! Further to what you were asking ad 3.:
all.linked
[1] 780.2701
Yes, this is the reason for the problems. I suggest improving the
coordinate measurements first, then constructing a graph-based
Dear Roger,
Thank you very much for your quick reply! Further to what you were asking ad 3.:
> all.linked
[1] 780.2701
> summary(mydata_nb)
Neighbour list object:
Number of regions: 91
Number of nonzero links: 8168
Percentage nonzero weights: 98.63543
Average number of links: 89.75824
Link n
On Tue, 19 Jul 2011, Julia Dechamps wrote:
Dear list,
I am new to spatial statistics and am working on the following: I have a
dataset of annual grain yields over 9 years for each of 91 (irregularly
spaced) areas. To begin with I averaged the yields over the 9 years, so
that I have 91 data p
Dear list,
I am new to spatial statistics and am working on the following: I have a
dataset of annual grain yields over 9 years for each of 91 (irregularly spaced)
areas. To begin with I averaged the yields over the 9 years, so that I have 91
data points, which I would now like to test for the
On Sat, 16 Jul 2011, Edzer Pebesma wrote:
Although I can't reproduce the problem on my Ubuntu laptop,
https://stat.ethz.ch/pipermail/r-help/2011-July/283568.html
suggests 2.13.1 introduced a problem with image(), which is out of "our"
hands (ie. cannot be fixed by the developers of spatial pac
Robert Hijmans wrote:
>>when I ran the same script in the new version the image
>>quality just get really low, almost incomprehensive (sometimes it doesn't
>>even appear). I would like to ask you, if this problem is just mine, or if
>>it's due to some kind of incompatibility between the new R rele
The description says:
The automatic fitting is done through fit.variogram.
estimateAnisotropy {intamap} does fit anistropy coefficients.
On 07/18/2011 08:27 PM, shweta jp wrote:
> Is the same true for autofitVariogram {automap} ?
>
> Shweta
>
> On Wed, Jul 13, 2011 at 1:13 PM, Edzer Pebesm
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