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<!doctype HTML> | |
<meta charset = 'utf-8'> | |
<html> | |
<head> | |
<link rel='stylesheet' href='http://timelyportfolio.github.io/rCharts_d3_sankey/css/sankey.css'> | |
<script src='http://d3js.org/d3.v3.min.js' type='text/javascript'></script> | |
<script src='http://timelyportfolio.github.io/rCharts_d3_sankey/js/sankey.js' type='text/javascript'></script> | |
<style> |
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server <- function(input, output, session) {} | |
ui <- fluidPage(singleton(tags$head(tags$script('window.location.replace("https://sdati.arpae.it/calicantus-intro");')))) | |
shinyApp(ui = ui, server = server) |
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rm(list = ls()) | |
library(shiny) | |
Logged = FALSE; | |
## put here the credentials | |
my_username <- "test" | |
my_password <- "test" | |
## part of the user interface for login | |
ui1 <- function(){ |
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# libraries | |
library(ggplot2) | |
library(dplyr) | |
# where is the urban area? | |
urban <- c(rep(F,100),rep(T,100),rep(F,100)) | |
# regional background concentrations | |
noise <- runif(300,min=5, max = 15) | |
regional.background <- stats::filter(noise,rep(1/40,40), sides=2, circular = T) |
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library(igraph) # Load the igraph package | |
links <- read.csv("data/network_crma_arpa_edges.csv") | |
net <- graph_from_data_frame(d=links, directed=T) | |
library(networkD3) | |
wc <- cluster_walktrap(net) | |
members <- membership(wc) | |
igraph_to_networkD3(net, group=members) -> net_d3 | |
net_d3$nodes$nodesize <- c(40,0)[(net_d3$nodes$name %in% links$from)+1] | |
forceNetwork(Links = net_d3$links, Nodes = net_d3$nodes, |
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filein <- "https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-regioni/dpc-covid19-ita-regioni.csv" | |
dat <- read.csv(filein) | |
library(dplyr) | |
library(ggplot2) | |
library(knitr) | |
dat %>% | |
mutate(terap_intens_e_deced=terapia_intensiva+deceduti) %>% | |
group_by(regione=denominazione_regione, | |
data=as.Date(data)) %>% | |
summarize(terap_intens_e_deced=sum(terap_intens_e_deced)) %>% |
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# packages | |
library(saqgetr) | |
library(dplyr) | |
library(rgdal) | |
library(tidyr) | |
library(rgeos) | |
library(readr) | |
# extraction | |
data_annual <- get_saq_simple_summaries(summary = "annual_means") |
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mean_vs_rankN <- function(poll = "PM10", | |
nrank = 36, | |
threshold = 50, | |
fy = 2009, | |
ly = 2018) { | |
library(dplyr) | |
Dat <- readRDS(paste0("data/",poll,"_daily_",fy,"-",ly,".rds")) | |
Dat %>% |
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# module load r-rgdal geos netcdf-fortran/4.5.2/gcc | |
# legge sezioni di censimento | |
library(sf) | |
st_read("/lustre/arpa/bonafeg/data/geo/Popolazione/FVGconSappada_SezCens.shp") -> ps | |
# legge popolazione | |
library(dplyr) | |
library(tidyr) | |
pp <- read.csv("/lustre/arpa/bonafeg/data/geo/Popolazione/Censimento2011/R06conSappada_indicatori_2011_sezioni.csv")%>% |
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library(readr) | |
library(glue) | |
library(RCurl) | |
library(lubridate) | |
library(dplyr) | |
library(futile.logger) | |
library(httr) | |
library(data.table) | |
# https://discomap.eea.europa.eu/map/fme/AirQualityExport.htm |