[R-sig-Geo] Spatiotemporal autocorrelation in R
Rafael Pereira
r@f@@pereir@@br @ending from gm@il@com
Thu Jun 7 23:17:30 CEST 2018
Hi Laura,
I don't know any specific function/package that does precisely what you
want to do. A while ago, I wanted to run a bivariate spatial correlation in
R (bivariate LISA) and I couldn't find package with a function for such
task, despite being a fairly simple task. In the end, a colleague of mine
developed such function and we shared on StackOverflow and here in this
group as well. Link to SO:
https://stackoverflow.com/questions/45177590/map-of-bivariate-spatial-correlation-in-r-bivariate-lisa
Perhaps Chenhua Shen would be willing to share their code.
best,
Rafael H.M. Pereira
Transport Studies Unit (TSU)
Oxford University
On Thu, Jun 7, 2018 at 5:15 PM, Todd McDonnell <
todd.mcdonnell using esenvironmental.com> wrote:
> The ccf can be used to compare two time-series that occur at the same
> location or at different locations. You could loop through all possible
> pairs of time-series at the same or different locations to determine which
> were more or less correlated. I am not sure how to do the spatial and the
> temporal correlations simultaneously.
>
> Todd
>
> On June 7, 2018 12:13:01 PM MST, Laura Cabral <lcabral using ualberta.ca> wrote:
> >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
> >>
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> _______________________________________________
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> >> R-sig-Geo using r-project.org
> >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> >>
>
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