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map_illustrations.R
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map_illustrations.R
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# flight.numbers <- f.s
# [1] 29534 428 16683 16341 35108 16014 32821 36693 37708 2918
flight.numbers <- c(29534,428,16683,16341,35108,16014,32821,36693,37708,2918)
#Get the flight data from the db.
library(RODBC)
#Establish a connection to the database
gps.db <- odbcConnectAccess2007('D:/Dropbox/tracking_db/GPS_db.accdb')
flights.old <- sqlQuery(gps.db, as.is = TRUE, query="SELECT DISTINCT f.*
FROM lund_flights AS f
ORDER BY f.flight_id ASC;")
flights.new <- sqlQuery(gps.db, as.is = TRUE, query="SELECT DISTINCT f.*
FROM lund_flights_commuting AS f
ORDER BY f.flight_id ASC;")
f.n <- flights.new$flight_id %in% flight.numbers
f <- flights.old$flight_id %in% flight.numbers
# summary(f)
trip_ids <- flights.old$trip_id[f]
# names(flights.new)
trips <- sqlQuery(gps.db, query="SELECT DISTINCT t.*
FROM lund_trips AS t
ORDER BY t.trip_id ASC;")
t.f <- trips$trip_id %in% trip_ids
# Whole trip -----
win.metafile("map.ex.trip_mono.wmf",width = 7, height = 7)
source("map_start_source.R")
# names(gps.data)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= trips$start_time[t.f][i]) & date_time <= trips$end_time[t.f][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = "black", lty = 1, lwd = 2)
}
source("map_end_source.R")
dev.off()
# Whole trip -----
win.metafile("map.ex.trip.wmf",width = 7, height = 7)
source("map_start_source.R")
# names(gps.data)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= trips$start_time[t.f][i]) & date_time <= trips$end_time[t.f][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 2)
}
source("map_end_source.R")
dev.off()
# Flights ------
win.metafile("map.ex.flight_trip.wmf",width = 7, height = 7)
source("map_start_source.R")
# names(gps.data)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= trips$start_time[t.f][i]) & date_time <= trips$end_time[t.f][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 1)
}
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.old$start_time[f][i]) & date_time <= flights.old$end_time[f][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 3)
}
source("map_end_source.R")
dev.off()
# Flights old ------
win.metafile("map.ex.flight.wmf",width = 7, height = 7)
source("map_start_source.R")
# names(gps.data)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.old$start_time[f][i]) & date_time <= flights.old$end_time[f][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 2)
}
source("map_end_source.R")
dev.off()
# Flight new and old -------
win.metafile("map.ex.new_old.wmf",width = 7, height = 7)
source("map_start_source.R")
# names(gps.data)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.old$start_time[f][i]) & date_time <= flights.old$end_time[f][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = "black", lty = 1, lwd = 2)
}
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.new$start_time[f.n][i]) & date_time <= flights.new$end_time[f.n][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 2)
}
source("map_end_source.R")
dev.off()
# Map new only ----
win.metafile("map.ex.new3.wmf",width = 7, height = 7)
svg("map.ex.new2.svg", width = 7, height = 7)
cairo_pdf("map.ex.new3.pdf", width = 7, height = 7)
pdf("map.ex.new4.pdf", width = 7, height = 7)
# Flight new and old -------
source("map_start_source.R")
source("map_start_source2.R")
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.new$start_time[f.n][i]) & date_time <= flights.new$end_time[f.n][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 2)
}
source("map_end_source2.R")
source("map_end_source.R")
dev.off()
# ?win.metafile
# Map new - 1st only ----
win.metafile("map.ex.new.half.wmf",width = 7, height = 7)
# Flight new and old -------
source("map_start_source.R")
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.new$start_time[f.n][i]) & date_time <= flights.new$end_time[f.n][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 1)
}
# names(flights.new)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.new$start_time[f.n][i]) & date_time <= flights.new$mid_dist_time[f.n][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 3)
}
source("map_end_source.R")
dev.off()
# ?win.metafile
# Map new - 1st only ----
win.metafile("map.ex.half.wmf",width = 7, height = 7)
source("map_start_source.R")
# names(flights.new)
for(i in 1:length(trip_ids)){
x <- trip_ids[i]
gps.sub <- subset(gps.data, (date_time >= flights.new$start_time[f.n][i]) & date_time <= flights.new$mid_dist_time[f.n][i],
select=c(longitude, latitude))
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 3)
}
source("map_end_source.R")
dev.off()
# Map all inward flights ----
win.metafile("map.ex.new_all.wmf",width = 7, height = 7)
svg("map.ex.new_all_01.svg", width = 7, height = 7)
cairo_pdf("map.ex.new_all_cairo.pdf", width = 7, height = 7)
pdf("map.ex.new_all_07.pdf", width = 5, height = 7)
postscript("map.ex.new_all_02.ps", width = 7, height = 7,
paper = "special")
dpi <- 1000
png("map.ex.new_all_04.png", res = dpi,
, width = 7*dpi, height = 7*dpi)
# ?png
load("flights.in.20140916.RData")
str(flights.in)
flight.numbers <- flights.in$flight_id
# f.n <- flights.new$flight_id %in% flight.numbers
f <- flights.in$flight_id %in% flight.numbers
# summary(f)
trip_ids <- flights.in$trip_id[f]
# names(flights.new)
trips <- sqlQuery(gps.db, query="SELECT DISTINCT t.*
FROM lund_trips AS t
ORDER BY t.trip_id ASC;")
t.f <- trips$trip_id %in% trip_ids
source("map_start_source3.R")
# warnings()
# str(flights.new)
# Fix data types
# flights.new$start_time <- as.POSIXct(flights.new$start_time, tz = "UTC")
# flights.new$end_time <- as.POSIXct(flights.new$end_time, tz = "UTC")
# gps.data$date_time <- as.POSIXct(gps.data$date_time, tz = "UTC")
# str(flights.in)
# str(gps.data)
# all.flights <- flights.new$flight_id
# z <- 56
num <- length(flights.in$flight_id)
seq.flight <- c(1:num)
seq.flight <- sample(seq.flight, num, replace = FALSE)
# length(seq.flight)
# str(flights.new)
# summary(gps.data$date_time >= flights.in$start_time[i])
# summary(gps.data$date_time <= flights.in$end_time[i])
# i <- 47
#
# test <- gps.data[
# (gps.data$date_time >= flights.in$start_time[i]) &
# (gps.data$date_time <= flights.in$end_time[i]) &
# gps.data$device_info_serial == flights.in$device_info_serial[i],]
# summary(gps.data$device_info_serial == flights.in$device_info_serial[i])
# summary((gps.data$date_time >= flights.in$start_time[i]) &
# (gps.data$date_time <= flights.in$end_time[i]))
# fail.flight <- 0
for(z in 1:num){
# str(gps.data)
# x <- trip_ids[i]
i <- seq.flight[z]
gps.sub <- gps.extract(flights.in$device_info_serial[z],
flights.in$start_time[z],
flights.in$end_time[z], simple = TRUE)
# w <- length(gps.sub$longitude)
# if(w == 0){
# fail.flight <- fail.flight + 1
# }
n <- length(gps.sub$longitude)
segments(gps.sub$longitude[-1], gps.sub$latitude[-1],
gps.sub$longitude[1:n-1], gps.sub$latitude[1:n-1],
col = col.vec[i], lty = 1, lwd = 0.6)
}
# warnings()
# ?postscript
# fail.flight
# source("map_end_source2.R")
source("map_end_source.R")
dev.off()
# ?win.metafile