[R] Is there any simple guide for spatialVx R package !?
javanmard.majid at gmail.com
Sat Feb 20 18:11:22 CET 2016
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>
> 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
> but sadly no tutorial. Still, those folks are probably better to contact
> for package-specific questions.
> On Saturday, February 20, 2016, Majid Javanmard <javanmard.majid at gmail.com>
>> 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 :
>> 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)
>> look2 <- minboundmatch(look, verbose = TRUE)
>> craer( look2 )
>> 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).
>> 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
>> [[alternative HTML version deleted]]
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> PLEASE do read the posting guide
>> and provide commented, minimal, self-contained, reproducible code.
> Sarah Goslee
[[alternative HTML version deleted]]
More information about the R-help