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NOX_P22_1810.R
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###########################################################################################################################
## Project: NEXTDATA ##
## Parameter: NOX ##
## Script first purpose: create monthly, semester, annual and seasonal graphic and statistics data reports ##
## Script second purpose: create time variation data reports ##
## Run time: the script may run daily (e.g. by using a crontab) or may be used when needed ##
##_______________________________________________________________________________________________________________________##
## Authors: Luca Naitza, Davide Putero ##
## Organization: National Research Council of Italy, Institute for Atmospheric Science and Climate (CNR-ISAC) ##
## Address: Via Gobetti 101, 40129, Bologna, Italy ##
## Project Contact: Paolo Cristofanelli ##
## Email: [email protected] ##
## Phone number: (+39) 051 639 9597 ##
##_______________________________________________________________________________________________________________________##
## Script filename: NOX_P22_1810.R ##
## Version Date: December 2018 ##
###########################################################################################################################
# > > > > > > > > > > > > > > I N S T R U C T I O N S < < < < < < < < < < < < < < < < < < < < < < < < #
#
# This script consists of several parts and sub-parts.
#
# Part 0 is the setting section, in which the User should replace the marked values (e.g. directory paths)
# Part 0.1 defines environmental variables, such as raw data and destination directories. The user should modify these values.
# Part 0.2 specifies the characteristics of User Station/Laboratory/Instrument/parameter. Most of these variables are used
# as metadata in the EBAS file format header. The User should provide proper information.
#
# Part 1 is another setting section; it should not be modified by the User unless strictly needed.
# Part 1.1 sets and loads the most commonly used R libraries. The User should not modify this sub-part.
# Part 1.2 specifies the time variables used in the processing. The User should not modify this sub-part. If the User needs
# to apply the script to data older than the current year, he/she may modify the lines explicitly marked for this purpose.
#
# Part 2 is the data processing section, it should not be modified by the User.
# Part 2.x contain the code to produce the EBAS format file and to process data. The User should not modify this sub-part(s).
#
# Part 3 is the data reporting section, it should not be modified by the User.
# Part 3.x contain the code to produce graphic reports. The User should not modify this sub-part(s).
#
# > > > > > > > > > > > > > > > > > > > > > > > > > > > < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < #
###########################################################################################################################
## # PART 0.1 #
## ______________________________________________________________________________________________________________________##
## Setting environmental variables
## ______________________________________________________________________________________________________________________##
## USE: set the following paths of origin raw data and of destination processing data, replacing values with yours
# WARNING: Proper setting up of the following paths and values is crucial. Please, replace the strings correctly
#
setwd("~/")
# -------- RAW DATA PATH ----------------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
CALIB_DIR = '../naitza/NEXTDATA/PROD/CIMONE/GAS/NO/RAW_DATA_UTC/CALIB'
RAW_DIR = '../naitza/NEXTDATA/PROD/CIMONE/GAS/NO/RAW_DATA_UTC'
#
# -------- DATA DESTINATION PATH --------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
L0_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/LEVEL_0'
L1_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/LEVEL_1'
L2_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/LEVEL_2'
L0_ANCIL_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/LEVEL_0/ANCILLARY'
#
# -------- GRAPH DESTINATION PATH -------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
REP_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT'
REP_GRAPH_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT/DAILY_GRAPH'
PLOT_DIR_M = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT/MONTHLY_GRAPH'
PLOT_DIR_S = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT/SEASONAL_GRAPH'
PLOT_DIR_Y = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT/ANNUAL_GRAPH'
PLOT_DIR_Y_PDF = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT/ANNUAL_GRAPH/PDF'
PLOT_DIR_T = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/GAS/NO/REPORT/TIMEVARIATION_GRAPH'
#
# -------- SCRIPTS PATH ----------------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
SCRIPT_DIR = '../naitza/NEXTDATA/R_SCRIPT'
## Loading functions for numflags
## The "NXD_numflag_functions_180301.R" scripts assigns the numflag value to the Data set, according to EBAS Flag List
## (https://ebas-submit.nilu.no/Submit-Data/List-of-Data-flags)
## The "NXD_EBAS_numflag_FullList_180103.txt" text file contains the EBAS Flag List, reporting codes, category and description
## Please, do NOT apply any change to the following function settings, unless you need to specify a different table of flags
#
source(paste(SCRIPT_DIR,"NXD_numflag_functions_180301.R", sep="/"))
tab_nf <- read.table(file = paste(SCRIPT_DIR,"NXD_EBAS_numflag_FullList_180103.txt",sep="/"),
sep = ";", header = TRUE, quote = NULL)
## # END PART 0.1 #
###########################################################################################################################
###########################################################################################################################
## # PART 0.2 #
## ______________________________________________________________________________________________________________________##
## Setting Level-0 Data sheet
##
## ______________________________________________________________________________________________________________________##
# Station/Laboratory/Instrument/parameter variables
#
# -------- EBAS HEADER FILE (METADATA) -----------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
s_code <- "IT0009R" # replace the value with your Station code
#
s_GAW_ID <- "CMN" # replace the value with your Station GAW ID
#
inst_type <- "NOX" # replace the value with your instrument type
#
## # END PART 0.2 #
###########################################################################################################################
###########################################################################################################################
## # PART 1.0 #
## ______________________________________________________________________________________________________________________##
## Loading libraries
## ______________________________________________________________________________________________________________________##
## NOTE: some of the following libraries may not be actually used by this script
# Please, do NOT apply any change, unless it is necessary to load specific libraries
#
library(data.table)
library(openair)
library(lattice)
library(RColorBrewer)
library(latticeExtra)
library(proto)
library(gsubfn)
library(RSQLite)
library(padr)
library(caTools)
library(zoo)
library(plyr)
library(forecast)
library("sqldf")
library(TTR)
library(ggplot2)
library(reshape2)
library(stringr)
library(png)
library(lubridate)
library(hydroTSM)
#
## # END PART 1.0 #
###########################################################################################################################
###########################################################################################################################
## # PART 1.1 #
## ______________________________________________________________________________________________________________________##
## Setting time and name variables
## Cleaning destination directory
## ______________________________________________________________________________________________________________________##
#
#
# -------------------------------------------------------------------------------------------
# Time variables
# NOTE: the following variables should not be modified, except those with explicit comments
#
questo_anno <-format(Sys.Date(), "%Y")
# -------- PREVIOUS YEAR(S) DATA PROCESSING ---------------------------------------# IF NEEDED, UN-COMMENT THE FOLLOWING LINE
#questo_anno <-as.numeric(questo_anno) -1 # the value "-1" means "last year". Change to "-2" or "-3" etc. for previous
questo_mese <-format(Sys.Date(), "%m")
questo_mese_nome <-format(Sys.Date(), "%B")
questo_giorno <-format(Sys.Date(), "%d")
if (questo_mese == "01" & questo_giorno == "01") { questo_anno == questo_anno-1 }
questo_capodanno <-paste(questo_anno,"01","01",sep="-")
questo_annomesegiorno <-paste(questo_anno,questo_mese,questo_giorno,sep="")
questa_ora <-format(Sys.time(), "%H")
questo_minuto <-format(Sys.time(), "%M")
questo_inizioanno <-paste(questo_anno,"0101000000",sep = "")
questa_start_time <-as.Date(paste(paste(questo_anno,"01","01",sep = "-"), " 00:00:00",sep = ""))
myweekday <-as.POSIXlt(Sys.Date())$wday
questo_startdate <-paste(questo_anno,"0101",sep="")
new_date <-gsub("-","",
gsub(" ","",
gsub(":","",
as.character(strptime(Sys.time(),
format = "%Y - %m - %d %H : %M")))))
new_date_name <-paste(".",new_date,sep="")
rev_datime <-gsub("-","",
gsub(" ","",
gsub(":","",
as.character(strptime(new_date,
format = "%Y%m%d%H%M%S")-3600))))
DATA_OSS <-paste(questo_anno,"01 01")
DATA_REV <-gsub("-"," ",Sys.Date())
DATA_INSERT <-paste(DATA_OSS,DATA_REV,sep=" ")
#
# -------------------------------------------------------------------------------------------
# Check point: printing variables
#
questo_anno
questo_mese
questo_mese_nome
questo_giorno
questo_capodanno
questo_annomesegiorno
questa_ora
questo_minuto
questo_inizioanno
questa_start_time
myweekday
questo_startdate
new_date
new_date_name
rev_datime
#
## # END PART 1.1 #
###########################################################################################################################
###########################################################################################################################
## # PART 2.0 #
## ______________________________________________________________________________________________________________________##
## Reading Level-0, Level-1, Level-2 data sheets
## Cleaning Destination directory
## Formatting Level-1 header
## ______________________________________________________________________________________________________________________##
#
# -------------------------------------------------------------------------------------------
# Reading instrumental data sheet
#
FILE_L0 <-list.files(path = L0_ANCIL_DIR, pattern = glob2rx(paste("NOx_PARAM_TABLE_",questo_anno,"*",sep = "")),
all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
EBAS_L0_FILENAME <-as.character(FILE_L0[1])
EBAS_L0_FILENAME
#
temp_L00 <-read.table(paste(L0_ANCIL_DIR,paste(EBAS_L0_FILENAME,sep=""),sep = "/"), row.names=NULL, header = T)
#
# -------------------------------------------------------------------------------------------
#Converting JD values to date
#
temp_L00$jd <-as.integer(temp_L00$start_time)
#
temp_L00$day <-as.Date(temp_L00$start_time, origin=questa_start_time)
temp_L00$time.dec <-temp_L00$start_time-temp_L00$jd
temp_L00$time <-temp_L00$time.dec*1440+0.01
temp_L00$hour <-as.integer(temp_L00$time/60)
temp_L00$min <-as.integer(temp_L00$time-temp_L00$hour*60)
temp_L00$date <-paste(temp_L00$day," ",temp_L00$hour,":",temp_L00$min,":00",sep="")
temp_L00$date <-as.POSIXct(strptime(temp_L00$date, format = "%Y-%m-%d %H:%M:%S", tz = "GMT"))
temp_L00$monthNum <-format(temp_L00$date, "%m")
#
# -------------------------------------------------------------------------------------------
# Reading Level-1
#
FILE_L1 <-list.files(path = L1_DIR, pattern = glob2rx(paste(s_code,".",questo_anno,"*",sep = "")),
all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
EBAS_L1_FILENAME <-as.character(FILE_L1[1])
EBAS_L1_FILENAME
# -------------------------------------------------------------------------------------------
#Reading header lines of Level-1 Data sheet
#
L1_n_lines <- as.integer(unlist(strsplit(readLines(paste(L1_DIR,EBAS_L1_FILENAME,sep = "/"), n=1), " "))[1])
L1_n_lines
#
# -------------------------------------------------------------------------------------------
# Creating temporary data table of Level-1
#
temp_L01 <-read.table(paste(L1_DIR,EBAS_L1_FILENAME,sep = "/"),skip = L1_n_lines-1,header = T)
#
# -------------------------------------------------------------------------------------------
#Converting JD values to date
#
temp_L01$jd <-as.integer(temp_L01$start_time)
#
temp_L01$day <-as.Date(temp_L01$start_time, origin=questa_start_time)
temp_L01$time.dec <-temp_L01$start_time-temp_L01$jd
temp_L01$time <-temp_L01$time.dec*1440+0.01
temp_L01$hour <-as.integer(temp_L01$time/60)
temp_L01$min <-as.integer(temp_L01$time-temp_L01$hour*60)
temp_L01$date <-paste(temp_L01$day," ",temp_L01$hour,":",temp_L01$min,":00",sep="")
temp_L01$date <-as.POSIXct(strptime(temp_L01$date, format = "%Y-%m-%d %H:%M:%S", tz = "GMT"))
temp_L01$monthNum <-format(temp_L01$date,"%m")
temp_L01$month <-format(temp_L01$date,"%B")
temp_L01$day <-format(temp_L01$date,"%d")
#
temp_L01$nf_validity <-sapply(temp_L01$numflag, nf_val_check, tab_nf$numflag, tab_nf$category)
NOX_L01_today_Y <- subset(temp_L01, nf_validity == "V")
#
# -------------------------------------------------------------------------------------------
# Reading Level-2
# Creating temporary data table of Level-2
#
FILE_L2 <-list.files(path = L2_DIR, pattern = glob2rx(paste(s_code,".",questo_anno,"*",sep = "")), all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
EBAS_L2_FILENAME <-as.character(FILE_L2[1])
EBAS_L2_FILENAME
# -------------------------------------------------------------------------------------------
#Reading header lines of Level-2 Data sheet
#
L2_n_lines <- as.integer(unlist(strsplit(readLines(paste(L2_DIR,EBAS_L2_FILENAME,sep = "/"), n=1), " "))[1])
L2_n_lines
#
# -------------------------------------------------------------------------------------------
# Creating temporary data table of Level-2
#
temp_L02 <-read.table(paste(L2_DIR,EBAS_L2_FILENAME,sep = "/"),fill = T, skip = L2_n_lines-1, header = T, sep="")
#
# -------------------------------------------------------------------------------------------
# Creating a subset over L02 data
#
temp_L02 <- subset(temp_L02, temp_L02$start_time < strptime(as.POSIXct(Sys.Date()), "%Y-%m-%d %H:%M")$yday)
#
# -------------------------------------------------------------------------------------------
# Converting JD values to date
#
temp_L02$jd <-as.integer(temp_L02$start_time)
#
temp_L02$day <-as.Date(temp_L02$start_time, origin=questa_start_time)
temp_L02$time.dec <-temp_L02$start_time-temp_L02$jd
temp_L02$time <-temp_L02$time.dec*1440+0.01
temp_L02$hour <-as.integer(temp_L02$time/60)
temp_L02$min <-as.integer(temp_L02$time-temp_L02$hour*60)
temp_L02$min <-as.integer(temp_L02$time-temp_L02$hour*60)
temp_L02$date <-paste(temp_L02$day," ",temp_L02$hour,":",temp_L02$min,":00",sep="")
temp_L02$date <-as.POSIXct(strptime(temp_L02$date, format = "%Y-%m-%d %H:%M:%S", tz = "GMT"))
temp_L02$monthNum <-format(temp_L02$date, "%m")
#
NOX_L02_today <-data.frame(temp_L02$date,temp_L02$NO,temp_L02$numflag_no,temp_L02$NO2,temp_L02$numflag_no2)
#
colnames(NOX_L02_today) <- c("date","no","numflag_no","no2","numflag_no2")
#
NOX_L02_today$month <- format(NOX_L02_today$date,"%B")
NOX_L02_today$monthNum <- as.numeric(format(NOX_L02_today$date,"%m"))
NOX_L02_today$day <- as.numeric(format(NOX_L02_today$date,"%d"))
#
# -------------------------------------------------------------------------------------------
# Subsetting NO Data affected by invalid values
#
NO_FAIL_today <- subset(NOX_L02_today, numflag_no == 0.999)
NO_TFAIL <- subset(NO_FAIL_today, select=c("month","day","monthNum","numflag_no"))
NO_mesi_FAIL <- data.frame(NO_TFAIL[!duplicated(NO_TFAIL[1:2]),])
NO_mesi_FAIL_COUNT <- data.frame(NO_mesi_FAIL[!duplicated(NO_mesi_FAIL[1]),],count(NO_mesi_FAIL,"monthNum"))
#
if (nrow(NO_mesi_FAIL) > 0) { NO_mesi_FAIL_COUNT$print <-paste(NO_mesi_FAIL_COUNT$month," (",NO_mesi_FAIL_COUNT$freq," days)",sep = "")
NO_Somma_giorni_FAIL <- sum(NO_mesi_FAIL_COUNT$freq)}
if (nrow(NO_mesi_FAIL) == 0) { }
#
# -------------------------------------------------------------------------------------------
# Subsetting NO2 Data affected by invalid values
#
NO2_FAIL_today <- subset(NOX_L02_today, numflag_no2 == 0.999)
NO2_TFAIL <- subset(NO2_FAIL_today, select=c("month","day","monthNum","numflag_no2"))
NO2_mesi_FAIL <- data.frame(NO2_TFAIL[!duplicated(NO2_TFAIL[1:2]),])
NO2_mesi_FAIL_COUNT <- data.frame(NO2_mesi_FAIL[!duplicated(NO2_mesi_FAIL[1]),],count(NO2_mesi_FAIL,"monthNum"))
#
if (nrow(NO2_mesi_FAIL) > 0) { NO2_mesi_FAIL_COUNT$print <-paste(NO2_mesi_FAIL_COUNT$month," (",NO2_mesi_FAIL_COUNT$freq," days)",sep = "")
NO2_Somma_giorni_FAIL <- sum(NO2_mesi_FAIL_COUNT$freq)}
if (nrow(NO2_mesi_FAIL) == 0) { }
#
# -------------------------------------------------------------------------------------------
# Subsetting valid Data
#
NOX_L02_today_Y <- subset(NOX_L02_today, numflag_no != 0.999)
unico <- c(NOX_L02_today_Y[!duplicated(NOX_L02_today_Y[,c('month')]),]$month)
#
# -------------------------------------------------------------------------------------------
#
## # END PART 2.0 #
###########################################################################################################################
###########################################################################################################################
## # PART 3.0 #
## ______________________________________________________________________________________________________________________##
## Creating statistcs/graphic reports
## NO MONTHLY GRAPHS
## Cleaning Destination directory
##
## ______________________________________________________________________________________________________________________##
# Subsetting NO data by month
#
unico_M <- c(NOX_L02_today_Y[!duplicated(NOX_L02_today_Y[,c('monthNum')]),]$monthNum)
for (qm in unico_M)
{
NOX_L02_ThisMonth <-subset(NOX_L02_today_Y, as.integer(monthNum)==qm)
temp_L02_ThisMonth <-subset(temp_L02, as.integer(monthNum)==qm)
temp_L01_ThisMonth <-subset(temp_L01, as.integer(monthNum)==qm)
temp_L00_ThisMonth <-subset(temp_L00, as.integer(monthNum)==qm)
print(head(temp_L01_ThisMonth, 5))
OBS_Month_start <-head(format(temp_L02_ThisMonth$date,"%d %B %Y"),1)
OBS_Month_end <-tail(format(temp_L02_ThisMonth$date,"%d %B %Y"),1)
#
# -------------------------------------------------------------------------------------------
# Calculating days with invalid flags
#
FAIL_ThisMonth <-subset(NO_FAIL_today, as.integer(monthNum) == qm)
FAIL_ThisMonth$day <-format(FAIL_ThisMonth$date,"%d")
FAIL_unico <-data.frame(FAIL_ThisMonth[!duplicated(FAIL_ThisMonth[,c('day')]),])
FAIL_DAYS <-nrow(FAIL_unico)
NO_mensile <-subset(NOX_L02_ThisMonth, numflag_no != 0.999000000)
NO_mensile$giorno <-format(NO_mensile$date,"%d")
NO_This_Month <-format(NO_mensile$date,"%m")[1]
NO_This_Month_Name <-format(NO_mensile$date,"%B")[1]
print(paste("ora il ",NO_This_Month_Name[1], FAIL_DAYS)) # check point: printing month and failing days
#
# -------------------------------------------------------------------------------------------
# Calculating monthly statistics
#
NO_mean <-mean(NO_mensile$no)
NO_men_MIN <-subset(NO_mensile, no == min(NO_mensile$no))
NO_men_MAX <-subset(NO_mensile, no == max(NO_mensile$no))
print(NO_mean)
print(NO_men_MIN)
print(NO_men_MAX)
# -------------------------------------------------------------------------------------------
# Cleaning Destination directory
#
FILE_PLOT_M<-list.files(path = PLOT_DIR_M, pattern = paste(s_GAW_ID,"NO", questo_anno,NO_This_Month,"MONTHLY_GRAPH_*",sep = "_"),
all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
FILE_PLOT_M
LISTA_PLOT_M<-as.character(FILE_PLOT_M)
for(f in LISTA_PLOT_M)
{
file.remove(paste(PLOT_DIR_M,f,sep = "/"))
}
#
# -------------------------------------------------------------------------------------------
# Preparing plotting files
#
PLOT_M_NAME <-paste(s_GAW_ID,"NO", questo_anno, NO_This_Month, "MONTHLY_GRAPH", gsub("-","",Sys.Date()), sep = "_")
PLOT_M_NAME_FULL <-paste (PLOT_DIR_M,paste(PLOT_M_NAME,".png",sep = ""),sep = "/")
png(file=,PLOT_M_NAME_FULL, width = 2480, height = 3508)
#
# -------------------------------------------------------------------------------------------
# Preparing plotting parameters (font size, margins, ...)
#
par(mfrow = c(7,1))
par(ps = 14, cex = 2, cex.main = 3.5,cex.sub=2.2, cex.lab=2.8, cex.axis = 2.2, mai=c(0.3,1.8,0.5,0.5))
#
# -------------------------------------------------------------------------------------------
# Creating the plotting matrix
#
m <- rbind(c(1, 1), c(2, 2), c(3, 3), c(4, 4), c(5, 5), c(6, 6), c(7, 8))
layout(m)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting NO
#
plot(ylim=c(-0.15,max(NO_mensile$no)+0.175),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
NO_mensile$date, NO_mensile$no, type = "h",
xlab = "",ylab =expression(paste("NO (nmol/mol) - L02")), col="lightblue", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("NO - L02 -",questo_anno,NO_This_Month_Name), line = -3)
lines(NO_mensile$date, NO_mensile$no, type = "l", lty = 1, col="darkred",lwd = 2)
points(NO_men_MAX$date[1], NO_men_MAX$no[1], col= "magenta",pch=20)
text(NO_men_MAX$date[1], NO_men_MIN$no[1], labels = paste("Max (", format(NO_men_MAX$date[1],"%B %d"), ")", sep=""),col="magenta",pos=1,cex = 1.8)
segments(NO_men_MAX$date[1], NO_men_MAX$no[1], NO_men_MAX$date[1],NO_men_MIN$no[1]-0.3, lty = 2, col="black",lwd = 1)
points(NO_men_MIN$date[1], NO_men_MIN$no[1], col= "blue",pch=20)
text(NO_men_MIN$date[1], NO_men_MIN$no[1], labels = paste("Min (", format(NO_men_MIN$date[1],"%B %d"), ")", sep =""),col="blue",pos=1,cex = 1.8)
segments(NO_men_MIN$date[1], NO_men_MIN$no[1], NO_men_MIN$date[1], NO_men_MIN$no[1]-0.3, lty = 2, col="black",lwd = 1)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting NUMFLAG (L01)
#
plot(ylim=c(0,1.1),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L01_ThisMonth$date, temp_L01_ThisMonth$numflag_NO, type = "h",
xlab = "",ylab =("numflag - L01"), col="tan", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("numflag - L01 -",questo_anno,NO_This_Month_Name), line = -3)
lines(temp_L01_ThisMonth$date, temp_L01_ThisMonth$numflag_NO, type = "l",
lty = 1,
col = "lightgreen",
lwd = 2)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting NO L02 vs NO instrumental
#
temp_L00_ThisMonth$NO[temp_L00_ThisMonth$NO > max(NO_mensile$no)] <-max(NO_mensile$no)+0.1
plot(ylim=c(-0.15,max(NO_mensile$no)+0.175),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$NO, type = "h",
xlab = "",ylab =("NO (nmol/mol) - inst vs L02"), col="cadetblue2", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("NO (from instrument) vs NO (L02) -",questo_anno,NO_This_Month_Name), line = -3)
title(paste("NO (inst) values higher than", round(max(NO_mensile$no)+0.1,1), "are out of scale and are rappresented as ", round(max(NO_mensile$no)+0.1,2))
,col="black",cex.main = 2.6, line = -7, font.main = 1)
lines(NO_mensile$date, NO_mensile$no, type = "l", lty = 1, col="darkred",lwd = 2)
legend("topleft", legend=c("NO (inst)","NO (L02)"), lty=c(1,1), lwd = c(2,2), col=c("steelblue2","darkred"), cex = 3)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting Flow Sample and Pre
#
xx <- c(temp_L00_ThisMonth$date, rev(temp_L00_ThisMonth$date))
yy_PR <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$Pre))
yy_FS <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$Flow_sample))
yy_PC <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$P_chamb))
yy_TC <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$T_Cooler))
yy_PM <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$PMT_V))
#
plot(ylim=c(-0.1,2),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$Flow_sample, type = "n",
xlab = "",ylab =("Flow_sample & Pre - inst"), col="cadetblue2", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("Flow_sample and Pre - from instrument -",questo_anno,NO_This_Month_Name), line = -3)
#
# Flow sample
polygon(xx, yy_FS, col='rosybrown1',border = "indianred3")
#
# Pre
#
polygon(xx, yy_PR, col='indianred1',border = "tomato4")
#
legend("topleft", legend=c("Flow_sample","Pre"), lty=c(1,1), lwd = c(2,2), col=c("indianred3","tomato4"), cex = 3)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting P_chamb e T_Cooler
#
plot(ylim=c(-100,400),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$P_chamb, type = "h",
xlab = "",ylab =("P_chamb & T_Cooler - inst"), col="palegreen", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("P_chamb and T_Cooler - from instrument -",questo_anno,NO_This_Month_Name), line = -3)
#
# P_chamb
lines(temp_L00_ThisMonth$date, temp_L00_ThisMonth$P_chamb, type = "l", lty = 1, col="palegreen4",lwd = 2)
#
# T_Cooler
polygon(xx, yy_TC, col='seagreen1',border = "purple4",lwd = 2)
#
legend("topleft", legend=c("P_chamb","T_Cooler"), lty=c(1,1), lwd = c(2,2), col=c("palegreen","purple4"), cex = 3)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting PMT_V
#
plot(ylim=c(-1100,-1150),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$PMT_V, type = "h",
xlab = "",ylab =("PMT_V - inst -"), col="lightskyblue2", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("PMT_V - from instrument -",questo_anno,NO_This_Month_Name), line = -3)
lines(temp_L00_ThisMonth$date, temp_L00_ThisMonth$PMT_V, type = "l", lty = 1, col="royalblue",lwd = 2.5)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting Text
#
plot(c(0, 1), c(0, 1), ann = F, bty = 'n', type = 'n', xaxt = 'n', yaxt = 'n')
text(x = 0, y = 0.95, paste (PLOT_M_NAME," - ",NO_This_Month_Name," ",questo_anno),
cex = 3.3, col = "darkred",pos = 4)
text(x = -0.005, y = 0.75, paste(" Observations from", OBS_Month_start," to ", OBS_Month_end,
"\n",
"(days of observation: ", 1+(as.integer(tail((NO_mensile$date),1)-head((NO_mensile$date)),1)),")")
, cex = 2.8, col = "black",pos = 4)
plot(c(0, 1), c(0, 1), ann = F, bty = 'n', type = 'n', xaxt = 'n', yaxt = 'n')
text(x = 0, y = 0.95, paste ("Statistics - ",NO_This_Month_Name," ",questo_anno),
cex = 3.3, col = "darkred",pos = 4)
text(x = 0, y = 0.55, paste("\n", "NO min: (", round(min(NO_mensile$no),2),") - NO max: (", round(max(NO_mensile$no),2),") - NO mean: (", round(mean(NO_mensile$no),2),") - NO sd: (", round(sd(NO_mensile$no),2),")","\n",
"NO percentile: 5th: (",round(quantile(NO_mensile$no, probs = c(0.05)),digits=2),")",
" - 25th: (",round(quantile(NO_mensile$no, probs = c(0.25)),digits=2),")",
" - 50th: (",round(quantile(NO_mensile$no, probs = c(0.50)),digits=2),")",
" - 75th: (",round(quantile(NO_mensile$no, probs = c(0.75)),digits=2),")",
" - 95th: (",round(quantile(NO_mensile$no, probs = c(0.95)),digits=2),")","\n","\n",
"L02 numflag = 0.999 (number of days affected): ", FAIL_DAYS,
" (",round((FAIL_DAYS/days_in_month(temp_L02_ThisMonth$date[1]))*100,digits=2),"%)",
"\n",
"Days of ",NO_This_Month_Name," affected:","\n",
if (FAIL_DAYS==0){"none"},
if (!is.na(FAIL_unico$day[1])){FAIL_unico$day[1]} ," ",
if (!is.na(FAIL_unico$day[2])){FAIL_unico$day[2]} ," ",
if (!is.na(FAIL_unico$day[3])){FAIL_unico$day[3]} ," ",
if (!is.na(FAIL_unico$day[4])){FAIL_unico$day[4]} ," ",
if (!is.na(FAIL_unico$day[5])){FAIL_unico$day[5]} ," ",
if (!is.na(FAIL_unico$day[6])){FAIL_unico$day[6]} ," ",
if (!is.na(FAIL_unico$day[7])){FAIL_unico$day[7]} ," ",
if (!is.na(FAIL_unico$day[8])){FAIL_unico$day[8]} ," ",
if (!is.na(FAIL_unico$day[9])){FAIL_unico$day[9]} ," ",
if (!is.na(FAIL_unico$day[10])){FAIL_unico$day[10]} ," ",
if (!is.na(FAIL_unico$day[11])){FAIL_unico$day[11]} ," ",
if (!is.na(FAIL_unico$day[12])){FAIL_unico$day[12]} ," ",
if (!is.na(FAIL_unico$day[13])){FAIL_unico$day[13]} ," ",
if (!is.na(FAIL_unico$day[14])){FAIL_unico$day[14]} ," ",
if (!is.na(FAIL_unico$day[15])){FAIL_unico$day[15]} ," ",
"\n",
if (!is.na(FAIL_unico$day[16])){FAIL_unico$day[16]} ," ",
if (!is.na(FAIL_unico$day[17])){FAIL_unico$day[17]} ," ",
if (!is.na(FAIL_unico$day[18])){FAIL_unico$day[18]} ," ",
if (!is.na(FAIL_unico$day[19])){FAIL_unico$day[19]} ," ",
if (!is.na(FAIL_unico$day[20])){FAIL_unico$day[20]} ," ",
if (!is.na(FAIL_unico$day[21])){FAIL_unico$day[21]} ," ",
if (!is.na(FAIL_unico$day[22])){FAIL_unico$day[22]} ," ",
if (!is.na(FAIL_unico$day[23])){FAIL_unico$day[23]} ," ",
if (!is.na(FAIL_unico$day[24])){FAIL_unico$day[24]} ," ",
if (!is.na(FAIL_unico$day[25])){FAIL_unico$day[25]} ," ",
if (!is.na(FAIL_unico$day[26])){FAIL_unico$day[26]} ," ",
if (!is.na(FAIL_unico$day[27])){FAIL_unico$day[27]} ," ",
if (!is.na(FAIL_unico$day[28])){FAIL_unico$day[28]} ," ",
if (!is.na(FAIL_unico$day[29])){FAIL_unico$day[29]} ," ",
if (!is.na(FAIL_unico$day[30])){FAIL_unico$day[30]} ," ",
if (!is.na(FAIL_unico$day[31])){FAIL_unico$day[31]} ," ",
sep=""),
cex = 2.8, col = "black",pos = 4)
dev.off()
}
#
# -------------------------------------------------------------------------------------------
## # END PART 3.0 #
###########################################################################################################################
###########################################################################################################################
## # PART 3.0.1 #
## ______________________________________________________________________________________________________________________##
## Creating statistcs/graphic reports
## NO2 MONTHLY GRAPHS
## Cleaning Destination directory
##
## ______________________________________________________________________________________________________________________##
# Subsetting NO data by month
#
unico_M <- c(NOX_L02_today_Y[!duplicated(NOX_L02_today_Y[,c('monthNum')]),]$monthNum)
for (qm in unico_M)
{
NOX_L02_ThisMonth <-subset(NOX_L02_today_Y, as.integer(monthNum)==qm)
temp_L02_ThisMonth <-subset(temp_L02, as.integer(monthNum)==qm)
temp_L01_ThisMonth <-subset(temp_L01, as.integer(monthNum)==qm)
temp_L00_ThisMonth <-subset(temp_L00, as.integer(monthNum)==qm)
print(head(temp_L01_ThisMonth, 5))
OBS_Month_start <-head(format(temp_L02_ThisMonth$date,"%d %B %Y"),1)
OBS_Month_end <-tail(format(temp_L02_ThisMonth$date,"%d %B %Y"),1)
#
# -------------------------------------------------------------------------------------------
# Calculating days with invalid flags
#
FAIL_ThisMonth <-subset(NO2_FAIL_today, as.integer(monthNum) == qm)
FAIL_ThisMonth$day <-format(FAIL_ThisMonth$date,"%d")
FAIL_unico <-data.frame(FAIL_ThisMonth[!duplicated(FAIL_ThisMonth[,c('day')]),])
FAIL_DAYS <-nrow(FAIL_unico)
NO2_mensile <-subset(NOX_L02_ThisMonth, numflag_no2 != 0.999000000)
NO2_mensile$giorno <-format(NO2_mensile$date,"%d")
NO2_This_Month <-format(NO2_mensile$date,"%m")[1]
NO2_This_Month_Name <-format(NO2_mensile$date,"%B")[1]
print(paste("ora il ",NO2_This_Month_Name[1], FAIL_DAYS)) # check point: printing month and failing days
#
# -------------------------------------------------------------------------------------------
# Calculating monthly statistics
#
NO2_mean <-mean(NO2_mensile$no2)
NO2_men_MIN <-subset(NO2_mensile, no2 == min(NO2_mensile$no2))
NO2_men_MAX <-subset(NO2_mensile, no2 == max(NO2_mensile$no2))
print(NO2_mean)
print(NO2_men_MIN)
print(NO2_men_MAX)
# -------------------------------------------------------------------------------------------
# Cleaning Destination directory
#
FILE_PLOT_M<-list.files(path = PLOT_DIR_M, pattern = paste(s_GAW_ID,"NO2", questo_anno,NO2_This_Month,"MONTHLY_GRAPH_*",sep = "_"),
all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
FILE_PLOT_M
LISTA_PLOT_M<-as.character(FILE_PLOT_M)
for(f in LISTA_PLOT_M)
{
file.remove(paste(PLOT_DIR_M,f,sep = "/"))
}
#
# -------------------------------------------------------------------------------------------
# Preparing plotting files
#
PLOT_M_NAME <-paste(s_GAW_ID,"NO2", questo_anno, NO2_This_Month, "MONTHLY_GRAPH", gsub("-","",Sys.Date()), sep = "_")
PLOT_M_NAME_FULL <-paste (PLOT_DIR_M,paste(PLOT_M_NAME,".png",sep = ""),sep = "/")
png(file=,PLOT_M_NAME_FULL, width = 2480, height = 3508)
#
# -------------------------------------------------------------------------------------------
# Preparing plotting parameters (font size, margins, ...)
#
par(mfrow = c(7,1))
par(ps = 14, cex = 2, cex.main = 3.5,cex.sub=2.2, cex.lab=2.8, cex.axis = 2.2, mai=c(0.3,1.8,0.5,0.5))
#
# -------------------------------------------------------------------------------------------
# Creating the plotting matrix
#
m <- rbind(c(1, 1), c(2, 2), c(3, 3), c(4, 4), c(5, 5), c(6, 6), c(7, 8))
layout(m)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting NO2
#
plot(ylim=c(-0.15,max(NO2_mensile$no2)+0.175),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
NO2_mensile$date, NO2_mensile$no2, type = "h",
xlab = "",ylab =bquote(paste("NO"[2], " (nmol/mol) - L02")), col="lightblue", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(bquote(bold(paste("NO"[2], " - L02 - ",.(questo_anno)," ",.(NO2_This_Month_Name)))), line = -3)
lines(NO2_mensile$date, NO2_mensile$no2, type = "l", lty = 1, col="darkred",lwd = 2)
points(NO2_men_MAX$date[1], NO2_men_MAX$no2[1], col= "magenta",pch=20)
text(NO2_men_MAX$date[1], NO2_men_MIN$no2[1], labels = paste("Max (", format(NO2_men_MAX$date[1],"%B %d"), ")", sep=""),col="magenta",pos=1,cex = 1.8)
segments(NO2_men_MAX$date[1], NO2_men_MAX$no2[1], NO2_men_MAX$date[1],NO2_men_MIN$no2[1]-0.3, lty = 2, col="black",lwd = 1)
points(NO2_men_MIN$date[1], NO2_men_MIN$no2[1], col= "blue",pch=20)
text(NO2_men_MIN$date[1], NO2_men_MIN$no2[1], labels = paste("Min (", format(NO2_men_MIN$date[1],"%B %d"), ")", sep =""),col="blue",pos=1,cex = 1.8)
segments(NO2_men_MIN$date[1], NO2_men_MIN$no2[1], NO2_men_MIN$date[1], NO2_men_MIN$no2[1]-0.3, lty = 2, col="black",lwd = 1)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting NUMFLAG (L01)
#
plot(ylim=c(0,1.1),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L01_ThisMonth$date, temp_L01_ThisMonth$numflag_NO2, type = "h",
xlab = "",ylab =("numflag - L01"), col="tan", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("numflag - L01 -",questo_anno,NO2_This_Month_Name), line = -3)
lines(temp_L01_ThisMonth$date, temp_L01_ThisMonth$numflag_NO2, type = "l",
lty = 1,
col = "lightgreen",
lwd = 2)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting Flow_A e Flow_B
#
temp_L00_ThisMonth$NO2[temp_L00_ThisMonth$NO2 > max(NO2_mensile$no2)] <-max(NO2_mensile$no2)+0.1
plot(ylim=c(-0.15,max(NO2_mensile$no2)+0.175),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$NO2, type = "h",
xlab = "",ylab =bquote(paste("NO"[2], " (nmol/mol) - inst vs L02")), col="cadetblue2", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(bquote(bold(paste("NO"[2], " (from instrument) vs ","NO"[2], " (L02) - ",.(questo_anno)," ",.(NO2_This_Month_Name)))), line = -3)
title(bquote(paste("NO"[2], " (inst) values higher than ",.(round(max(NO2_mensile$no2+0.5),1)), " are out of scale and are rappresented as ", .(round(max(NO2_mensile$no2)+0.5,2))))
,col="black",cex.main = 2.6, line = -7, font.main = 1)
lines(NO2_mensile$date, NO2_mensile$no2, type = "l", lty = 1, col="darkred",lwd = 2)
legend("topleft", legend=c("NO2 (inst)","NO2 (L02)"), lty=c(1,1), lwd = c(2,2), col=c("steelblue2","darkred"), cex = 3)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting Flow Sample and Pre
#
xx <- c(temp_L00_ThisMonth$date, rev(temp_L00_ThisMonth$date))
yy_PR <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$Pre))
yy_FS <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$Flow_sample))
yy_PC <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$P_chamb))
yy_TC <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$T_Cooler))
yy_PM <- c(rep(0, nrow(temp_L00_ThisMonth)), rev(temp_L00_ThisMonth$PMT_V))
#
plot(ylim=c(-0.1,2),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$Flow_sample, type = "n",
xlab = "",ylab =("Flow_sample & Pre - inst"), col="cadetblue2", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("Flow_sample and Pre - from instrument -",questo_anno,NO2_This_Month_Name), line = -3)
#
# Flow sample
polygon(xx, yy_FS, col='rosybrown1',border = "indianred3")
#
# Pre
#
polygon(xx, yy_PR, col='indianred1',border = "tomato4")
#
legend("topleft", legend=c("Flow_sample","Pre"), lty=c(1,1), lwd = c(2,2), col=c("indianred3","tomato4"), cex = 3)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting P_chamb e T_Cooler
#
plot(ylim=c(-100,400),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$P_chamb, type = "h",
xlab = "",ylab =("P_chamb & T_Cooler - inst"), col="palegreen", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("P_chamb and T_Cooler - from instrument -",questo_anno,NO2_This_Month_Name), line = -3)
#
# P_chamb
lines(temp_L00_ThisMonth$date, temp_L00_ThisMonth$P_chamb, type = "l", lty = 1, col="palegreen4",lwd = 2)
#
# T_Cooler
polygon(xx, yy_TC, col='seagreen1',border = "purple4",lwd = 2)
#
legend("topleft", legend=c("P_chamb","T_Cooler"), lty=c(1,1), lwd = c(2,2), col=c("palegreen","purple4"), cex = 3)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting PMT_V
#
plot(ylim=c(-1100,-1150),
xlim = c(min(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date)),
max(c(NOX_L02_ThisMonth$date,temp_L01_ThisMonth$date,temp_L00_ThisMonth$date))),
mgp = c(8, 4, 0),
temp_L00_ThisMonth$date, temp_L00_ThisMonth$PMT_V, type = "h",
xlab = "",ylab =("PMT_V - inst"), col="lightskyblue2", panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(paste("PMT_V - from instrument -",questo_anno,NO2_This_Month_Name), line = -3)
lines(temp_L00_ThisMonth$date, temp_L00_ThisMonth$PMT_V, type = "l", lty = 1, col="royalblue",lwd = 2.5)
#
# -------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------
# Plotting Text
#
plot(c(0, 1), c(0, 1), ann = F, bty = 'n', type = 'n', xaxt = 'n', yaxt = 'n')
text(x = 0, y = 0.95, paste (PLOT_M_NAME," - ",NO2_This_Month_Name," ",questo_anno),
cex = 3.3, col = "darkred",pos = 4)
text(x = -0.005, y = 0.75, paste(" Observations from", OBS_Month_start," to ", OBS_Month_end,
"\n",
"(days of observation: ", 1+(as.integer(tail((NO2_mensile$date),1)-head((NO2_mensile$date)),1)),")")
, cex = 2.8, col = "black",pos = 4)
plot(c(0, 1), c(0, 1), ann = F, bty = 'n', type = 'n', xaxt = 'n', yaxt = 'n')
text(x = 0, y = 0.95, paste ("Statistics - ",NO2_This_Month_Name," ",questo_anno),
cex = 3.3, col = "darkred",pos = 4)
text(x = 0, y = 0.55, paste("\n", "NO2 min: (", round(min(NO2_mensile$no2),2),") - NO2 max: (", round(max(NO2_mensile$no2),2),") - NO2 mean: (", round(mean(NO2_mensile$no2),2),") - NO2 sd: (", round(sd(NO2_mensile$no2),2),")","\n",
"NO2 percentile: 5th: (",round(quantile(NO2_mensile$no2, probs = c(0.05)),digits=2),")",
" - 25th: (",round(quantile(NO2_mensile$no2, probs = c(0.25)),digits=2),")",
" - 50th: (",round(quantile(NO2_mensile$no2, probs = c(0.50)),digits=2),")",
" - 75th: (",round(quantile(NO2_mensile$no2, probs = c(0.75)),digits=2),")",
" - 95th: (",round(quantile(NO2_mensile$no2, probs = c(0.95)),digits=2),")","\n","\n",
"L02 numflag = 0.999 (number of days affected): ", FAIL_DAYS,
" (",round((FAIL_DAYS/days_in_month(temp_L02_ThisMonth$date[1]))*100,digits=2),"%)",
"\n",
"Days of ",NO2_This_Month_Name," affected:","\n",
if (FAIL_DAYS==0){"none"},
if (!is.na(FAIL_unico$day[1])){FAIL_unico$day[1]} ," ",
if (!is.na(FAIL_unico$day[2])){FAIL_unico$day[2]} ," ",
if (!is.na(FAIL_unico$day[3])){FAIL_unico$day[3]} ," ",
if (!is.na(FAIL_unico$day[4])){FAIL_unico$day[4]} ," ",
if (!is.na(FAIL_unico$day[5])){FAIL_unico$day[5]} ," ",
if (!is.na(FAIL_unico$day[6])){FAIL_unico$day[6]} ," ",
if (!is.na(FAIL_unico$day[7])){FAIL_unico$day[7]} ," ",
if (!is.na(FAIL_unico$day[8])){FAIL_unico$day[8]} ," ",
if (!is.na(FAIL_unico$day[9])){FAIL_unico$day[9]} ," ",
if (!is.na(FAIL_unico$day[10])){FAIL_unico$day[10]} ," ",
if (!is.na(FAIL_unico$day[11])){FAIL_unico$day[11]} ," ",
if (!is.na(FAIL_unico$day[12])){FAIL_unico$day[12]} ," ",
if (!is.na(FAIL_unico$day[13])){FAIL_unico$day[13]} ," ",
if (!is.na(FAIL_unico$day[14])){FAIL_unico$day[14]} ," ",
if (!is.na(FAIL_unico$day[15])){FAIL_unico$day[15]} ," ",
"\n",
if (!is.na(FAIL_unico$day[16])){FAIL_unico$day[16]} ," ",
if (!is.na(FAIL_unico$day[17])){FAIL_unico$day[17]} ," ",
if (!is.na(FAIL_unico$day[18])){FAIL_unico$day[18]} ," ",
if (!is.na(FAIL_unico$day[19])){FAIL_unico$day[19]} ," ",
if (!is.na(FAIL_unico$day[20])){FAIL_unico$day[20]} ," ",
if (!is.na(FAIL_unico$day[21])){FAIL_unico$day[21]} ," ",
if (!is.na(FAIL_unico$day[22])){FAIL_unico$day[22]} ," ",
if (!is.na(FAIL_unico$day[23])){FAIL_unico$day[23]} ," ",
if (!is.na(FAIL_unico$day[24])){FAIL_unico$day[24]} ," ",
if (!is.na(FAIL_unico$day[25])){FAIL_unico$day[25]} ," ",
if (!is.na(FAIL_unico$day[26])){FAIL_unico$day[26]} ," ",
if (!is.na(FAIL_unico$day[27])){FAIL_unico$day[27]} ," ",
if (!is.na(FAIL_unico$day[28])){FAIL_unico$day[28]} ," ",
if (!is.na(FAIL_unico$day[29])){FAIL_unico$day[29]} ," ",
if (!is.na(FAIL_unico$day[30])){FAIL_unico$day[30]} ," ",
if (!is.na(FAIL_unico$day[31])){FAIL_unico$day[31]} ," ",
sep=""),
cex = 2.8, col = "black",pos = 4)
dev.off()
}
#
# -------------------------------------------------------------------------------------------
## # END PART 3.0.1 #
###########################################################################################################################
###########################################################################################################################
## # PART 3.1 #
## ______________________________________________________________________________________________________________________##
## Creating statistcs/graphic reports
## NO SEMESTER GRAPHS
## Cleaning Destination directory
##
## ______________________________________________________________________________________________________________________##
# Subsetting data by semester
# First semester
#
Fhalf <-subset(NOX_L02_today_Y,monthNum<7)
if (nrow(Fhalf)==0){ } else
{
# -------------------------------------------------------------------------------------------
# Cleaning Destination directory
#
FILE_PLOT_1HM<-list.files(path = PLOT_DIR_M, pattern = paste(s_GAW_ID, "NO",questo_anno,"SEMESTER_1st_GRAPH_*",sep = "_"), all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
FILE_PLOT_1HM
LISTA_PLOT_1HM<-as.character(FILE_PLOT_1HM)
for(f in LISTA_PLOT_1HM)
{
file.remove(paste(PLOT_DIR_M,f,sep = "/"))
}
#
# -------------------------------------------------------------------------------------------
# Preparing plotting files
#
unico<-c(Fhalf[!duplicated(Fhalf[,c('month')]),]$month)
#
# -------------------------------------------------------------------------------------------
# Preparing plotting parameters (font size, margins, ...)
#
png(file=paste(PLOT_DIR_M,paste(s_GAW_ID,"_","NO","_",questo_anno,"_SEMESTER_1st_GRAPH_",gsub("-","",Sys.Date()),".png",sep = ""),sep = "/"),
width = 2480, height = 3508)
#
# -------------------------------------------------------------------------------------------
# Creating the plotting matrix
#
layout(matrix(c(1,2,3,4,5,6,7),ncol=1), widths=c(10,10,10,10,10,10,10), heights=c(2.2,2.2,2.2,2.2,2.2,2.2,0.2), TRUE)
par(ps = 12, cex = 1.8, cex.main = 1.8,cex.sub=1.8, cex.lab=1.8, cex.axis = 1.5, mai=c(0.3,1.8,0.5,0.5)) # make labels and margins smaller (mai= giu, sx,su,dx)
for (i in unico[1:length(unico)])
{
print(i)
mensile <-subset(NOX_L02_today_Y, month == i & numflag_no != 0.999000000)
mensile$giorno <-format(mensile$date,"%d")
mensile$mean <-mean(mensile$no)
mensile$sd <-sd(mensile$no)
men_MIN <-subset(mensile, no == min(mensile$no))
men_MAX <-subset(mensile, no == max(mensile$no))
{
plot(ylim=c(-0.17,men_MAX$no[1]+0.05),
mensile$date, mensile$no, type = "h",
xlab = "",
ylab ="NO (nmol/mol) - L02",
col="lightblue",
panel.first = grid(nx=0,ny=NULL, lty = 1, lwd = 1))
title(main=paste(i,questo_anno,sep=" "),
line = -2.2)
title(paste("Statistics: min: (", round(min(mensile$no),2),") - max: (", round(max(mensile$no),2),") - mean: (", round(mean(mensile$no),2),") - sd: (", round(sd(mensile$no),2),")")
,col="black",cex.main = 1.2, line = -3.8, font.main = 1)
lines(mensile$date, mensile$no, type = "l", lty = 1, col="darkred",lwd = 2)
points(men_MAX$date[1], men_MAX$no[1], col= "magenta",pch=20)
text(men_MAX$date[1], men_MIN$no[1] , labels = paste("Max (",format(men_MAX$date[1],"%B %d"),")",sep=""),col="magenta",pos=1)