[R] Is there any simple guide for spatialVx R package !?

[Majid Javanmard]

I checked datasets,however, it is my ambiguities, I mean why there is no
Lat/Lon in pert000 and pert004 datasets, and how conncet data to each other
!!?
another question :  does this package match the two entities which RMSE is
the lowest or correlation coefficient is the highest one ?!




On Sat, Feb 20, 2016 at 4:42 PM, Sarah Goslee <sarah.goslee at gmail.com>
wrote:

> The data commands in the example load sample data. You can run those lines
> in R and look at what the sample data are set up like, if the explanations
> aren't clear to you. There may also be help files specifically for the
> sample data.
>
> There's some information at
> https://www.ral.ucar.edu/projects/icp/SpatialVx/
> but sadly no tutorial. Still, those folks are probably better to contact
> for package-specific questions.
>
> Sarah
>
>
> On Saturday, February 20, 2016, Majid Javanmard <javanmard.majid at gmail.com>
> wrote:
>
>> I was searching a windows-based software to execute CRA(contiguous rain
>> area) method, I failed, but I found a R package and its example to execute
>> this method but I encountered some ambiguities !!
>>
>> here is the example code :
>>
>> data(pert000)
>> data(pert004)
>> data(ICPg240Locs)
>>
>> hold <- make.SpatialVx(pert000, pert004,
>> loc=ICPg240Locs, projection=TRUE, map=TRUE, loc.byrow = TRUE,
>> field.type="Precipitation", units="mm/h",
>> data.name=c("ICP Perturbed Cases", "pert000", "pert004"))
>>
>> look <- FeatureFinder(hold, smoothpar=10.5, thresh = 5)
>> plot(look)
>>
>> look2 <- minboundmatch(look, verbose = TRUE)
>> plot(look2)
>>
>> craer( look2 )
>>
>> 1)
>>
>> What kind of dataset should I import here !!? I have an observation and
>> forecast files contains Lat/Lon and Value columns(observation 9 rows,
>> forecast 16 rows).
>>
>> 2)
>>
>> Should I interpolate these files to the same bound by Arcmap ?!
>>
>>
>> I really cant understand the tutorial of SpatialVx package, I appreciate
>>  if someone could response on this issue !!
>>
>> Many Thanks
>> Majid Javanmard
>>
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>>
>> ______________________________________________
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>> PLEASE do read the posting guide
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
> --
> Sarah Goslee
> http://www.stringpage.com
> http://www.sarahgoslee.com
> http://www.functionaldiversity.org
>

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