[R-sig-ME] compare a neighbourhood value with the city mean - test of significance in presence of spatial autocorrelation

dani jones orch|dn @end|ng |rom ||ve@com
Tue Jun 4 02:25:43 CEST 2019


Hi Thierry,

Thank you so much! I looked at the BYM model, which I have not used before. I need to be able to create a table with all the neighbourhoods in the dataset, indicating whether they are significantly over or under the city value. I am not sure how to test these differences.

Best regards,
Dani


________________________________
From: Thierry Onkelinx <thierry.onkelinx using inbo.be>
Sent: Monday, June 3, 2019 12:23 AM
To: dani jones
Cc: r-sig-mixed-models using r-project.org
Subject: Re: [R-sig-ME] compare a neighbourhood value with the city mean - test of significance in presence of spatial autocorrelation

Dear Dani,

What I would do is create a graph indicating which neighbourhoods are directly connected to each other (share a border). And use this information to fit a Besag-York-Mollier model which takes care of the auto-correlation among the neighbourhoods. For an example see
library(INLA)
demo("Bym")

You can find the INLA package at http://www.r-inla.org<http://www.r-inla.org/>


Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be<mailto:thierry.onkelinx using inbo.be>
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be<http://www.inbo.be>

///////////////////////////////////////////////////////////////////////////////////////////
To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey
///////////////////////////////////////////////////////////////////////////////////////////

[https://inbo-website-prd-532750756126.s3-eu-west-1.amazonaws.com/inbologoleeuw_nl.png]
<https://www.inbo.be>


Op ma 3 jun. 2019 om 01:50 schreef dani jones <orchidn using live.com<mailto:orchidn using live.com>>:
Hi everyone,


I have a dataset with all neighbourhoods in a city and a value for each neighbourhood (a rate). I would like to be able to create a vizualization that enables the user to select individual neighbourhoods and find out whether the value of that neighbourhood is significantly higher or lower than the city average across all neighbourhoods (I have a value that was calculated for the city). Given that the neighbourhoods are contiguous areas composing the city, there is spatial dependency, so I cannot use z scores or apply other classical statistics test since the observations are not independent and spatial autocorrelation might exist.

I am not sure what test to apply to achieve this. Any help and links to potential readings would be very much appreciated.

Thank you very much!

Dani

<http://aka.ms/weboutlook>

        [[alternative HTML version deleted]]

_______________________________________________
R-sig-mixed-models using r-project.org<mailto:R-sig-mixed-models using r-project.org> mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

	[[alternative HTML version deleted]]



More information about the R-sig-mixed-models mailing list