permit the subtraction
of the mean smoothed rate. Is there any approximate date for that to
become available? Since I've been working with comparisons between
indices, that could make for an interesting play for my research
Best regards,
Fabricio Vasselai
Political Science Department
Universi
mes(x$tiles)
return(SpatialPolygonsDataFrame(SpatialPolygons(c), data=d))
}
#End of the code
Hope it helps.
Best,
Fabricio
2014-05-14 3:21 GMT-04:00 Roger Bivand :
>
> On Wed, 14 May 2014, Fabricio Vasselai wrote:
>
>> Dear all,
>>
>>
>> After playing around
convert tess objects to a sp object in the
pattern a shapefile map is read, i.e. with the "data" slot and with the
polygon features as rows, no as columns?
As always, thank you all for your time.
Best,
Fabricio Vasselai
CPS-University of Michigan
University of São Paulo
[[alter
Hi Andrew,
You should give us a few more details on the kind of application you need
these maps for, as well as on which sort of random process you are thinking
of.
You yourself mentioned that randomly dividing a polygon is enough for your,
not needing a random generation of the outlines of the
Do you mean something similar to what the bivariate Ripley's K function
does for spatial point distribution?
Hm, if yes I do not know of anything similar (would love to be pointed to
some solution too).
But what I've done once to handle a similar problem was: 1) I calculated
LISA measures for bot
Dear all,
I have a spatial point data (lat-long) with 1000 points representing
pooling stations (all within a given city). Each point has two variables
attached to it: number of population registered to the pooling station and
city region to which the pooling stations belong.
What I am trying to
Dear list,
Given a following up to this question, I have myself a somewhat similar
question to that of Alsulami.
I have a shp of Finnish cities and would like to generate for them a weight
matrix of neighborhood based on inverse distance (for further use in
Moran's I calculus). Here is the code I'
Dear Rober, thank you very much for all the explanation! Of course it did
clarify a lot. I will also take a look at your suggestion about leading
with the zero-inflation menance.
FABRICIO
2012/4/5 Roger Bivand
> On Thu, 5 Apr 2012, Fabricio Vasselai wrote:
>
> Dear list,
>>
&
Dear list,
Maybe someone can shed some light on this error. I have a dataset with
thousands of candidates with electoral support per city. I wrote a R script
to calculate both Moran.test and Moran.MC (9 iterations), and also
Geary C test.
The script run very fine, but at the end I have noticed
Dears,
A very noob question here. I would like to calculate Moran I using inverse
distance matrices. The problem is Open GeoDa does not generate those, only
threshold distance matrix. On the other hand, although ArcGis does generate
inverse distance matrices, they are in SWM file type which is not
Dears,
Although I am formaly new to this mailing list, for months I've been
reading lots of threads here both on handling shape files and on making
different adjacency spatial weighted matrices. But I still keep wondering
and trying if is it possible to: 1) make n-order adjacency matrix from a
pol
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