Dear R-sig-geo'ers
I am currently running some interpolations using automap written by Paul
Hiemstra. So far my interpolations have been producing suitable results except
for one problem. From the code you will see that the boundaries of the spatial
grid are determined using the range of the X
Dear Michel,
> I'm new to Spatial Data Analysis and have just begun working through
> "Applied Spatial Data Analysis wit R" by Bivand et al. For my research I
> would like to use SDA to be able to tell more about my restaurant data set
> than just pinpointing them on a google map. So far, from rea
Roger:
Thanks, I'll try to incorporate some of your suggestions and post
the code + some sample imagery next time I ask a question. I'm trying
to build up some R-based code that replicates some of what my "starspan"
program does (starspan.casil.ucdavis.edu) -- essentially taking vector
da
On Sun, 15 Feb 2009, Timo Mitze wrote:
Dear Roger and List,
thanks for your advice. I tried it with the code as (as well as some related
with different style parameter etc.):
x <- mat2listw(mat)
lw <- nb2listw(x$neighbours, style="B", zero.policy=TRUE)
migfilt
Dear Roger and List,
thanks for your advice. I tried it with the code as (as well as some related
with different style parameter etc.):
x <- mat2listw(mat)
lw <- nb2listw(x$neighbours, style="B", zero.policy=TRUE)
migfilt <- SpatialFiltering(lnmr_i ~ 1, data=migr
On Sun, 15 Feb 2009, Valerio Bartolino wrote:
Dear list,
I've the objective to identify hotspot areas from a model prediction
over a high resolution grid. After calculating a spatial weight object I
easily applied the localmoran function from the spdep library. It's not
really clear to me the me
Valerio:
For a local Moran's I, a randomization approximation is probably not a
good idea since for each permutation, the mean and variance (which are
used to calculated the p-values) of a specific location will change,
which causes the randomized p-values not poolable (in global Moran's
case
Dear all,
I'm new to Spatial Data Analysis and have just begun working through
"Applied Spatial Data Analysis wit R" by Bivand et al. For my research I
would like to use SDA to be able to tell more about my restaurant data set
than just pinpointing them on a google map. So far, from reading the
li
Dear all,
I'm new to Spatial Data Analysis and have just begun working through
"Applied Spatial Data Analysis wit R" by Bivand et al. For my research I
would like to use SDA to be able to tell more about my restaurant data set
than just pinpointing them on a google map. So far, from reading the
li
On Sat, 14 Feb 2009, Jonathan Greenberg wrote:
Thanks -- another few questions along these lines:
Perhaps you could simplify by providing code examples with a built-in data
set and so on? Verbatim copies do let others see what is going on. So I'll
start by trying to reconstruct what you seem
On Sat, 14 Feb 2009, Timo Mitze wrote:
Dear List,
I have a complete (distance/border based binary) spatial weights matrix
from Stata (e.g. as a txt-file).
Try using read.dta() in foreign of the exported Stata matrix. This reads a
data.frame, which you coerce to an R matrix with as.matrix().
Dear list,
I've the objective to identify hotspot areas from a model prediction
over a high resolution grid. After calculating a spatial weight object I
easily applied the localmoran function from the spdep library. It's not
really clear to me the meaning of the p-values associated to the
localmora
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