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eneller
2025-11-14 13:12:04 +01:00
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LE9.R Normal file
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## Laboratory exercise 9
rm(list=ls())
library(leaflet)
library(sf)
library(DataExplorer)
library(lubridate)
setwd('E://')
pnt_data <- read.csv('rec.csv',header = FALSE,
sep='',skip=15)
#Time instants reformatting
doy <- yday(pnt_data$V1)
res1 <- ymd_hms(paste(pnt_data$V1,pnt_data$V2, sep=' '))
hour <- hour(res1)
min <- minute(res1)
sec <- second(res1)
timer <- doy + hour/24 + min/(24*60) + sec/(24*3600)
latitude <- (pnt_data$V3 + 12.843697222222223)*6378137*pi/180
longitude <- (pnt_data$V4 - 131.13274444444443)*6378137*pi/180
height <- pnt_data$V5 - 125.1
data <- as.data.frame(cbind(longitude, latitude, height))
summary(data)
plot(timer, latitude, type='l', col = 'red',
ylim = c(min(latitude, longitude,height),
max(latitude, longitude,height)),
xlab='time [day in 2015]',ylab='errors [m]')
lines(timer, longitude, col= 'dark green')
lines(timer, height, col= 'blue')
legend('topright', legend=c('latitude', 'longitude','height'),
col=c('red','dark green', 'blue'), lty=1:1, cex=0.8,
box.lty=0)
plot_histogram(data)
plot_correlation(data, maxcat = 5L)
plot_boxplot(data, by = "height")
boxplot(data, names=c('easting [m]',
'northing [m]',
'height [m]'),
ylab='# of occurences', main='GPS only')
# Define the coordinates
lat2 <- -12.844
lon2 <- 131.133
# Create a spatial object from the data frame
lon = lon2
lat = lat2
points <- st_as_sf(data.frame(lon= lon,
lat = lat), coords = c("lon", "lat")) #,
#crs = 4326)
# Add tiles to the map
map <- leaflet(points) %>%
addTiles() %>%
# Add markers for the two points with popup labels
addMarkers(lng = ~lon, lat = ~lat,
popup = ~paste("Point", round(lat), round(lon)))
map