Re: [R-sig-Geo] Imputation of aggregate data for spatial analysis

Dear Prof Roger, Thanks a lot for that suggestion! Kind regards, Amitha. On Mon, Oct 19, 2020 at 1:51 PM Roger Bivand wrote: > On Mon, 19 Oct 2020, Amitha Puranik wrote: > > > Hello everyone! > > > > I have data on the proportion of screening of cervica

[R-sig-Geo] Imputation of aggregate data for spatial analysis

Hello everyone! I have data on the proportion of screening of cervical cancer at district-level. I have about 530 data points out of the 545 districts. I want to get a complete picture of the data in order to obtain the spatial cluster map using LISA (local indicators of partial autocorrelation).

Re: [R-sig-Geo] Spatial data when the missing mechanism is MNAR (non-ignorable)

Dear Prof. Roger, Thanks for that suggestion. I will go for a simulation approach then to identify the appropriate method. Thanks again for your help. Regards, Amitha Puranik. On Tue, 6 Oct, 2020, 6:53 PM Roger Bivand, wrote: > On Tue, 6 Oct 2020, Amitha Puranik wrote: > > &g

Re: [R-sig-Geo] Spatial data when the missing mechanism is MNAR (non-ignorable)

ism? Any comment/ suggestion will be appreciated. Thanks in advance, Amitha Puranik. On Mon, Oct 5, 2020 at 2:13 PM Amitha Puranik wrote: > Dear Roger, > > Thank you for the quick response. I shall refer to the articles that you > recommended. > Thanks again! >

Re: [R-sig-Geo] Spatial data when the missing mechanism is MNAR (non-ignorable)

Dear Roger, Thank you for the quick response. I shall refer to the articles that you recommended. Thanks again! Regards, Amitha Puranik. On Mon, Oct 5, 2020 at 1:48 PM Roger Bivand wrote: > On Sun, 4 Oct 2020, Amitha Puranik wrote: > > > Is it possible to impute missing values in

[R-sig-Geo] Spatial data when the missing mechanism is MNAR (non-ignorable)

Is it possible to impute missing values in spatial data when the missingness is *MNAR (non-ignorable)*? Can pattern mixture model or selection model be modified to incorporate autocorrelation property and used in this context? Any suggestion/opinion is appreciated. Thanks in advance, Amitha

Re: [R-sig-Geo] Imputation of missing spatial areal data

Dear Roger, Thank you for the quick response. I shall refer the article that you recommended. Kind regards, Amitha Puranik. On Mon, Oct 28, 2019 at 3:39 PM Roger Bivand wrote: > On Mon, 28 Oct 2019, Amitha Puranik wrote: > > > Hello everyone, > > > > I wo

[R-sig-Geo] Imputation of missing spatial areal data

/ suggestion is appreciated. Thanks in advance. Amitha Puranik. [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo

Re: [R-sig-Geo] Simulating variables with predefined correlation and autocorrelation

' scipt provides a function > to set up data with different constellations of autocorrelation. Maybe the > code is useful for your purposes as well. > > Best, > Tobias > > > -Original Message----- > From: R-sig-Geo On Behalf Of Amitha > Puranik > Sent: 22 August

Re: [R-sig-Geo] Simulating variables with predefined correlation and autocorrelation

to induce autocorrelation in even the independent variables(s). Hence I posted this query. Thanks in advance. Regards, Amitha Puranik. On Thu, Aug 22, 2019 at 7:06 PM Roger Bivand wrote: > Could you please explain why you want to do this and whether you want to > use th

Re: [R-sig-Geo] Simulating variables with predefined correlation and autocorrelation

a covariance structure defining both correlation and autocorrelation be specified while simulating variables? If so, how to define such covariance structure? I will be grateful for your assistance. Thanks in advance. Amitha Puranik [[alternative HTML version deleted

[R-sig-Geo] Simulating variables with predefined correlation and autocorrelation

Hello everyone, I'm trying to simulate a set of variables by specifying correlations. For the simulated data, I also want to specify autocorrelations. Basically I am trying to simulate data assuming spatial durbin model (a model which accounts for autocorrelation in both Y and X). I came across

Re: [R-sig-Geo] LR1.sarlm specifications

Dear Prof. Roger Bivand, Thank you very much for clarifying my doubt. This helped me a great deal! On Thu, Jul 11, 2019 at 12:58 PM Roger Bivand wrote: > On Thu, 11 Jul 2019, Amitha Puranik wrote: > > > Hi Prof. Roger, > > > > I am using the approa

[R-sig-Geo] LR1.sarlm specifications

in advance. Amitha Puranik. [[alternative HTML version deleted]] ___ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo

Re: [R-sig-Geo] Error while using predict.sarlm

sed_data) %in% attr(weightmatrix, "region.id")) [1] TRUE I am now successfully able to use the predict.sarlm function. Thanks a ton for your help!! Thanks & regards, *Amitha Puranik* On Sun, May 26, 2019 at 9:52 PM Amitha Puranik wrote: > D

[R-sig-Geo] Error while using predict.sarlm

ere are no discrepancies, I have run the following lines length(weightmatrix$weights) nrow(missed_data) nrow(coordinates(shape)) For all the codes above, the result is 182, which is the sample size of data. Can anyone offer me some guidance in solving this problem? Thanks for your help.