[R-sig-Geo] Spatiotemporal autocorrelation in R

[Laura Cabral]

Hi Todd,

Thank you for your suggestion. As I understand it, this takes care of the temporal aspect, but not the spatial aspect, am I right?

Thank you,
Laura Cabral

 

MSc Candidate in Transportation Engineering

Dept of Civil and Environmental Engineering

University of Alberta

lcabral using ualberta.ca <mailto:lcabral using ualberta.ca>
819 993-1901


The University of Alberta is located in ᐊᒥᐢᑿᒌᐚᐢᑲᐦᐃᑲᐣ (Amiskwacîwâskahikan) on Treaty 6 territory, homeland of the Papaschase and the Métis Nation

> Le 7 juin 2018 à 12:42, Todd McDonnell <todd.mcdonnell using esenvironmental.com> a écrit :
> 
> Hi Laura,
> 
> It sounds like you may want to explore using the cross-correlation function (ccf) to compare the two sets of data through time:
> http://stat.ethz.ch/R-manual/R-devel/library/stats/html/acf.html
> 
> Todd
> 
> --
> Todd McDonnell
> Research Scientist, Ph.D.
> E&S Environmental Chemistry
> Corvallis, OR | Ph. 541-758-1330
> www.esenvironmental.com
> 
> -----Original Message-----
> From: R-sig-Geo [mailto:r-sig-geo-bounces using r-project.org] On Behalf Of Laura Cabral
> Sent: Thursday, June 07, 2018 11:03 AM
> To: r-sig-geo using r-project.org
> Subject: [R-sig-Geo] Spatiotemporal autocorrelation in R
> 
> Hello All,
> 
> I have been reading about spatiotemporal autocorrelation and slowly familiarizing myself with the concepts involved. I have also been combing through the CRAN spatiotemporal task view, but I can’t seem to find the appropriate package/function for my purposes.
> 
> What I want to do: 
> I have two series of count data each for the same times and locations. Both series have been ordered from lowest count to highest count. I would like to identify where/when in space-time the series are similar (low-low count clusters, high-high count clusters) and where they do not correspond (high-low or low-high). Really, I am looking for a Moran’s I type index which can handle spatiotemporal data. I know this type of index has been developed (see for example Shen, Li and Si, 2016 - Spatiotemporal autocorrelation measures for nonstationary series), but I am unsure whether any of it has been translated into an R package/function. I do not (yet) have the mathematical/statistical/programming knowledge to implement those myself.
> 
> 
> What I don’t want to do:
> I have seen quite a bit of discussions or packages aimed at detrending or modelling the data. I do not need these functionalities. I have also seen separate handling of spatial and temporal autocorrelation for the same dataset. I would prefer an integrated index, if that is possible.
> 
> I feel like I might be looking for the wrong keywords, so any keywords, packages, functions, tutorials, videos, etc. that you could recommend would be greatly beneficial. As I mentioned, I am still familiarizing myself with spatiotemporal autocorrelation concepts, so if I seem to be approaching this from the completely wrong angle, please let me know!
> 
> Thank you all for your help,
> 
> Laura Cabral
> 
> 
> 
> MSc Candidate in Transportation Engineering
> 
> Dept of Civil and Environmental Engineering
> 
> University of Alberta
> 
> lcabral using ualberta.ca <mailto:lcabral using ualberta.ca>
> 819 993-1901
> 
> 
> The University of Alberta is located in ᐊᒥᐢᑿᒌᐚᐢᑲᐦᐃᑲᐣ (Amiskwacîwâskahikan) on Treaty 6 territory, homeland of the Papaschase and the Métis Nation
> 
> 
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> 
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