On Thu, 12 Aug 2010, elaine kuo wrote:
Dear List,
Eventually computing lagsarlm and errorsarlm become successful,
Using the code below. (maybe knearneigh helps to solve some issue.)
(ref. An Introduction to Spatial Regression Analysis in R, Luc Anselin,
2003)
Or more recently Bivand et al
Dear List,
Eventually computing lagsarlm and errorsarlm become successful,
Using the code below. (maybe knearneigh helps to solve some issue.)
(ref. An Introduction to Spatial Regression Analysis in R, Luc Anselin,
2003)
Elaine
code
rm(list=ls())
datam <-read.csv("c:/migration/Mig_ra
On Sun, 1 Aug 2010, Nikhil Kaza wrote:
example(errorsarlm)
Right!
Or any other available dataset that mirrors the application case, which
seems to be ecological, but crucially has point or cell support in decimal
degrees with very large differences in distances between observations. You
ar
example(errorsarlm)
Nikhil Kaza
Asst. Professor,
City and Regional Planning
University of North Carolina
nikhil.l...@gmail.com
On Aug 1, 2010, at 7:57 AM, elaine kuo wrote:
Dear Dr. Bivand and list
Thank you for the patience.
Only one question remains
2. great distance circle
=> longl
Dear Dr. Bivand and list
Thank you for the patience.
Only one question remains
>>
>> 2. great distance circle
>>
>> => longlat = TRUE returns no valid observation ...
>>similar error messages have been researched in the archived mail
>>but no identical case found...
>> Please kindly
On Fri, 23 Jul 2010, elaine kuo wrote:
1. change method to Matrix
System calculation is specific, the condition is =5.14146e-17 (translated
from Chinese)
Warning messages:
Warning not a problem, but the error suggests scaling problems in the
covariance matrix of the coefficients. The
>
>
1. change method to Matrix
>>
>>
>> System calculation is specific, the condition is =5.14146e-17 (translated
>> from Chinese)
>>
>> Warning messages:
>>
>
> Warning not a problem, but the error suggests scaling problems in the
> covariance matrix of the coefficients. The X variables are
On Tue, 20 Jul 2010, elaine kuo wrote:
Hello,
Thanks for the always concerns.
answering the previous questions first.
1. distance threshold
But 9 what, metres, degrees? Should your code be:
cbind(datam$lat,datam$lon), as the normal ordering is eastings then
northings, not the opposite?
Hello,
Thanks for the always concerns.
answering the previous questions first.
>> 1. distance threshold
>>
>
> But 9 what, metres, degrees? Should your code be:
> cbind(datam$lat,datam$lon), as the normal ordering is eastings then
> northings, not the opposite?
=> unit is degree, and the la
On Sat, 17 Jul 2010, elaine kuo wrote:
Dear,
Thank you for the help.
1. distance threshold
It is 9. (Roger, you are right and sorry to confuse you)
But 9 what, metres, degrees? Should your code be:
cbind(datam$lat,datam$lon), as the normal ordering is eastings then
northings, not the oppos
Dear,
Thank you for the help.
1. distance threshold
It is 9. (Roger, you are right and sorry to confuse you)
9 is the cutting point for avoiding empty neighbour sets.
(If the distance threshold is 8, there will be empty ones.)
2. dataset
length(nb10)=4873.
sum(card(nb10)=885478)
3. memory size
On Fri, 16 Jul 2010, elaine kuo wrote:
Dear List,
I encountered an error message when trying to use Chebyshev as method for
SAR.
Please kindly help and thanks.
Beyond what Danlin said, I am very unsure where to start. Please provide
adequate information about your input data, specifically th
Elaine:
Based on the error message (cannot allocate vector of size 121.8 Mb), it
is very possibly you have way too many cases in your data set. A
potential solution would be randomly sample your dataset to get a
representative sample set and run the spatial regression, or you can
always try a
Dear List,
I encountered an error message when trying to use Chebyshev as method for
SAR.
Please kindly help and thanks.
package spdep was updated on 07162010
system: windows vista home 32-bit
R version 2.10.0 (20091026)
Elaine
Code
> library(ncf)
> library(spdep)
>
> # Define coordinates, neig
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