I was impressed by Jim's effort.
So, I thought I'd try to produce an exploratory plot.
I've adapted some of his code.
The following script produces a heatmap for a cylindrical density estimate.
Bright areas are (mathematical) regions of high density.
However, the interpretation is complicated by t
Sorry, I should know better:
rollmean<-function(x,width=2) {
lenx<-length(x)
result<-rep(NA,lenx)
for(i in 1:lenx) {
chunk<-i:(i+width-1)
if(i(lenx-width)) chunk<-c(i:lenx,rep(lenx,i-(width-1)))
result[i]<-mean(x[chunk])
}
return(result)
}
I forgot to replace this with:
library(zoo)
r
? source("../rollmean.R") ?
On May 18, 2020 4:11:52 AM PDT, Jim Lemon wrote:
>Hi Stefano,
>If I understand your request, this may also help, Uses the same data
>transformations as my previous email.
>
>png("SS_foehn.png")
>plot(mydf$data_POSIX,
> ifelse(mydf$main_dir %in% c("WSW","SW"),mydf$max_s
---
>
>
>Da: Jeff Newmiller [jdnew...@dcn.davis.ca.us]
>Inviato: sabato 16 maggio 2020 21.04
>A: Stefano Sofia; Jim Lemon; r-help mailing list
>Oggetto: RE: [R] Classification of wind events
>
>Please run your code before posting it... y
Hi Stefano,
If I understand your request, this may also help, Uses the same data
transformations as my previous email.
png("SS_foehn.png")
plot(mydf$data_POSIX,
ifelse(mydf$main_dir %in% c("WSW","SW"),mydf$max_speed,NA),
type="b",main="Wind speed (WSW or SW) by time",
xlab="Time of day",ylab="W
: Stefano Sofia; Jim Lemon; r-help mailing list
Oggetto: RE: [R] Classification of wind events
Please run your code before posting it... you forgot the quotes in your
main_dir column.
first_day_POSIX <- as.POSIXct("2020-02-19-00-00", format="%Y-%m-%d-%H-%M")
last_day_POSIX
t_day_POSIX, by="10
> > > min"))
> > >
> > > mydf$main_dir <- c(WSW, WSW, SW, SW, W, WSW, WSW, WSW, W, W, SW, WSW,
> > > SSW, S, SW, SW, WSW, WNW, W, WSW, WSW, SE, SE, SE, NW, NNE, ENE, SE, NNW,
> > > NW, NW, NW, NW, NW, NW, NE, NW, NW, NW,
ur attention
> > Stefano
> >
> >
> > (oo)
> > --oOO--( )--OOo--------
> > Stefano Sofia PhD
> > Civil Protection - Marche Region
> > Meteo Section
> > Snow Section
> > Via del Colle Ameno 5
> > 60126 Torrette di Ancona, A
Colle Ameno 5
> 60126 Torrette di Ancona, Ancona
> Uff: 071 806 7743
> E-mail: stefano.so...@regione.marche.it
> ---Oo-oO
>
>
> Da: Jim Lemon [drjimle...@gmail.com]
> Inviato: mercoledì 13 maggio 2020 11.01
>
, NW, NW, NW, N, WNW, NW, NNW,
>NNW, NW, NW, NW, WNW, ESE, W, WSW, SW, SW, SW, WSW, SW, S, S, SSW, SW,
>WSW, WSW, WSW, WSW, WSW, WSW, WSW, SW, WSW, WSW, WSW, WSW, SW, SW, WSW,
>WSW, WSW, WSW, WSW, SW, SW, SW, SW, SW, SW, SW, SW, SW, WSW, WSW, WSW,
>WSW, SW, SW, SW, SW, WSW, SW, SW, SW, SW, SW, WSW, SW, SW, W, WSW, WSW,
>SSW, S, WNW, SW
__
Da: Jim Lemon [drjimle...@gmail.com]
Inviato: mercoledì 13 maggio 2020 11.01
A: Stefano Sofia; r-help mailing list
Oggetto: Re: [R] Classification of wind events
Hi Stefano,
Given only one observation point you will find it difficult. If your
automatic weather station is in the low area wher
Hi Stefano,
Given only one observation point you will find it difficult. If your
automatic weather station is in the low area where the foehn wind is
felt, it can only be distinguished from a dry katabatic wind if the
upwind conditions are known. There is a similar but milder version of
this in eas
Please make a reproducible R example of input and output.
On May 12, 2020 1:11:41 AM PDT, Stefano Sofia
wrote:
>Dear R list users,
>I am aware that this question is not strictly related, at the present
>moment, to R code and it is more general. Please forgive me, but I need
>to share my thoughts
Dear R list users,
I am aware that this question is not strictly related, at the present moment,
to R code and it is more general. Please forgive me, but I need to share my
thoughts with you.
Foehn conditions on the southern slope of Alps happen with strong northerly
flows that impact perpendic
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