[R-sig-Geo] Spatiotemporal autocorrelation in R

[Todd McDonnell]

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
>> 
>> 
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>> 
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