Can I use covariates in addition to spatial coordinates for 'qreglwr' in the McSpatial package?

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Can I use covariates in addition to spatial coordinates for 'qreglwr' in the McSpatial package?

Joelle k. Akram
Greetings all,


I am trying to run the following function spatial regression:

https://rdrr.io/cran/McSpatial/man/qreglwr.html


Based on the examples given below the weblink, the function is run with spatial coordinates:

fit <- qreglwr<https://rdrr.io/cran/McSpatial/man/qreglwr.html>(LNDENS~LONGITUDE+LATITUDE,taumat=c<https://rdrr.io/r/base/c.html>(.10,.50,.90),window<https://rdrr.io/r/stats/window.html>=.20,data<https://rdrr.io/r/utils/data.html>=cookdata<https://rdrr.io/cran/McSpatial/man/cookdata.html>)


And it is run without spatial coordinates (i.e., only covariates) :

fit1 <- qreglwr<https://rdrr.io/cran/McSpatial/man/qreglwr.html>(LNDENS~DCBD,taumat=c<https://rdrr.io/r/base/c.html>(.10,.50,.90),window<https://rdrr.io/r/stats/window.html>=.30,kern="rect",data<https://rdrr.io/r/utils/data.html>=cookdata<https://rdrr.io/cran/McSpatial/man/cookdata.html>)

In my problem, I am thinking along the lines of GWR where we specify both covariates and spatial coords.

But I do not see it in this function.


Unless I  am missing something, I believe we cannot do the following since the function does may not differentiate between

a spatial coord. variable and a covariate:


fit1 <- qreglwr<https://rdrr.io/cran/McSpatial/man/qreglwr.html>(LNDENS~DCBD+LONGITUDE+LATITUDE,taumat=c<https://rdrr.io/r/base/c.html>(.10,.50,.90),window<https://rdrr.io/r/stats/window.html>=.30,kern="rect",data<https://rdrr.io/r/utils/data.html>=cookdata<https://rdrr.io/cran/McSpatial/man/cookdata.html>)

Any insights are welcome.
cheers.

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Re: Can I use covariates in addition to spatial coordinates for 'qreglwr' in the McSpatial package?

Joelle k. Akram
hi all,


The formatting in my original post is not correct.

Please see my post in the correct format:



Greetings all,


I am trying to run the following function spatial regression:

https://rdrr.io/cran/McSpatial/man/qreglwr.html


Based on the examples given below the weblink, the function is run with spatial coordinates:

fit <- qreglwr(LNDENS~LONGITUDE+LATITUDE,taumat=c(.10,.50,.90),window=.20,data=cookdata)


And there is also an example, where it is run without spatial coordinates (i.e., only covariates) :

fit1 <- qreglwr(LNDENS~DCBD,taumat=c(.10,.50,.90),window=.30,kern="rect",data=cookdata)



In my problem, I am thinking along the lines of GWR where we specify both covariates and spatial coords.

But I do not see it possible in this function.


Unless I  am missing something, I believe we cannot do the following since the function does may not differentiate between

a spatial coord. variable and a covariate:


fit1 <- qreglwr(LNDENS~DCBD+LONGITUDE+LATITUDE,taumat=c(.10,.50,.90),window=.30,kern="rect",data=cookdata)

Any insights are welcome.
cheers.

data: Data Sets - R Package Documentation<https://rdrr.io/r/utils/data.html>
rdrr.io
Loads specified data sets, or list the available data sets.


window: Time Windows - R Package Documentation<https://rdrr.io/r/stats/window.html>
rdrr.io
window is a generic function which extracts the subset of the object x observed between the times start and end. If a frequency is specified, the series is then re ...


c: Combine Values into a Vector or List - rdrr.io<https://rdrr.io/r/base/c.html>
rdrr.io
This is a generic function which combines its arguments. The default method combines its arguments to form a vector. All arguments are coerced to a common type which ...


window: Time Windows - R Package Documentation<https://rdrr.io/r/stats/window.html>
rdrr.io
window is a generic function which extracts the subset of the object x observed between the times start and end. If a frequency is specified, the series is then re ...


c: Combine Values into a Vector or List - rdrr.io<https://rdrr.io/r/base/c.html>
rdrr.io
This is a generic function which combines its arguments. The default method combines its arguments to form a vector. All arguments are coerced to a common type which ...


data: Data Sets - R Package Documentation<https://rdrr.io/r/utils/data.html>
rdrr.io
Loads specified data sets, or list the available data sets.


data: Data Sets - R Package Documentation<https://rdrr.io/r/utils/data.html>
rdrr.io
Loads specified data sets, or list the available data sets.


c: Combine Values into a Vector or List - rdrr.io<https://rdrr.io/r/base/c.html>
rdrr.io
This is a generic function which combines its arguments. The default method combines its arguments to form a vector. All arguments are coerced to a common type which ...




________________________________
From: R-sig-Geo <[hidden email]> on behalf of Joelle k. Akram <[hidden email]>
Sent: February 21, 2018 2:31 PM
To: [hidden email]
Subject: [R-sig-Geo] Can I use covariates in addition to spatial coordinates for 'qreglwr' in the McSpatial package?

Greetings all,


I am trying to run the following function spatial regression:

https://rdrr.io/cran/McSpatial/man/qreglwr.html


Based on the examples given below the weblink, the function is run with spatial coordinates:

fit <- qreglwr<https://rdrr.io/cran/McSpatial/man/qreglwr.html>(LNDENS~LONGITUDE+LATITUDE,taumat=c<https://rdrr.io/r/base/c.html>(.10,.50,.90),window<https://rdrr.io/r/stats/window.html>=.20,data<https://rdrr.io/r/utils/data.html>=cookdata<https://rdrr.io/cran/McSpatial/man/cookdata.html>)


And it is run without spatial coordinates (i.e., only covariates) :

fit1 <- qreglwr<https://rdrr.io/cran/McSpatial/man/qreglwr.html>(LNDENS~DCBD,taumat=c<https://rdrr.io/r/base/c.html>(.10,.50,.90),window<https://rdrr.io/r/stats/window.html>=.30,kern="rect",data<https://rdrr.io/r/utils/data.html>=cookdata<https://rdrr.io/cran/McSpatial/man/cookdata.html>)

In my problem, I am thinking along the lines of GWR where we specify both covariates and spatial coords.

But I do not see it in this function.


Unless I  am missing something, I believe we cannot do the following since the function does may not differentiate between

a spatial coord. variable and a covariate:


fit1 <- qreglwr<https://rdrr.io/cran/McSpatial/man/qreglwr.html>(LNDENS~DCBD+LONGITUDE+LATITUDE,taumat=c<https://rdrr.io/r/base/c.html>(.10,.50,.90),window<https://rdrr.io/r/stats/window.html>=.30,kern="rect",data<https://rdrr.io/r/utils/data.html>=cookdata<https://rdrr.io/cran/McSpatial/man/cookdata.html>)

Any insights are welcome.
cheers.

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