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script_skjern1.R
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script_skjern1.R
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library(xml2)
library(rvest)
library(jsonlite)
library(tidyverse)
library(lubridate)
library(zoo)
library(forecast)
library(tsibble)
library(fs)
library(rmarkdown)
library(RCurl)
library(conflicted)
conflicts_prefer(
dplyr::filter(),
dplyr::lag
)
source("functions.R")
url <- "https://fangstjournalen.dtu.dk/fangst.nsf/xsp/app/v3/catches/assoc/A97F957DD48AEDD4C1258814003E71FE/1/"
prefix <- "data/data_skjern"
yr <- year(now())
#### Catch records ####
datCatchSalmon <- writeCatch(url, prefix, yr, species = "Laks")
datCatchSeatrout <- writeCatch(url, prefix, yr, species = "Havørred")
#### Flow though lock at Hvide Sande ####
dat <- writeLockSkjern(prefix)
writeLockWeb(dat, prefix)
#### Weight ####
writeWeightEstimates(prefix, seatrout = TRUE)
writeWeightEstimates(prefix, seatrout = FALSE)
#### Hobo station (Laksens hus) - Save data to hobo csv files ####
saveHoboData()
#### Waterlevel ####
stations <-
tibble(id = c("24717", "24605", "24622", "54559", "24649", "24657", "24601", "468"),
place = c("Skjern Å - Sandfeldvej",
"Skjern Å - Alergaard",
"Skjern Å - Gjaldbæk bro",
"Skjern Å - Landevejsbroen",
"Karstoft Å - Fiskedamme",
"Rind Å - Arnborg kirke",
"Omme Å - Sønderskov bro",
"Fjederholt Å - A18"))
writeTimeSeriesData(stations, prefix, prefix1 = "waterlevel", days = 15)
# d <- as.integer(now() - ymd_hms("2017-01-01 12:00:00"))
# writeTimeSeriesData(stations, prefix, prefix1 = "waterlevel", days = d) # if update from 2017
## Calc moving average
dat <- readDataFiles("data_skjern_waterlevel_[0-9]{4}")
rMeans <- writeWaterMovAvg(dat, prefix)
## Relative datasets
dat <- calcWaterLevelRelative(dat, rMeans, prefix)
## Dataset for web
dat <- writeWaterLevelsWeb(dat, prefix)
#### Water temperature ####
stations <- NULL
writeTimeSeriesData(stations, prefix, prefix1 = "watertemp", days = 15)
## Calc moving average
dat <- readWTemp(prefix, 2022:year(now()))
rMeans <- writeWaterTempMovAvg(dat, prefix)
## Dataset for web
dat <- writeWaterTempWeb(dat, rMeans, prefix)
#### Pressure ####
stations <- NULL
writeTimeSeriesData(stations, prefix, prefix1 = "pressure", days = 15)
#### Map ####
lst <- stripKml("135J9l0kVoBKkdIdG_0vc3U9WJeuUPWyJ") # Places
datMarkers <- lst$datMarkers
datLines <- lst$datLines
## MV-LF
lst <- stripKml("1NiY_55Mw_GUULepLXq6Wjt0Gtu2K2c0", Club = "MV-LF")
datMarkers <- bind_rows(datMarkers, lst$datMarkers)
datLines <- bind_rows(datLines, lst$datLines)
## Skj-LF
lst <- stripKml("1MzpHBDHJqemOQK81Z7z2CVwzdzrXGDlF", Club = "Skj-LF")
datMarkers <- bind_rows(datMarkers, lst$datMarkers)
datLines <- bind_rows(datLines, lst$datLines)
## BFF
lst <- stripKml("1-B74S5cts6E4KNUyP2vxBpQ_r9pZcGSD", Club = "BFF")
datMarkers <- bind_rows(datMarkers, lst$datMarkers)
datLines <- bind_rows(datLines, lst$datLines)
## LF1926 (has a map for each place with no layers, try to hack)
# first add medlem zones
mapIds <- c("1d8I43tTbY5IyOjzTHpqlY8hd7F0", # Sdr. Felding
"1lHHXIhjmF23X1wG0MWqLPiazhjg", # Udløbet
"1BxltqquXBJRRxj2_GVWzjA1TbhQ", # Skarrild
"1OIEh02I2rpO8a1F05Lq3LijF4O8", # Albæk
"1kkZdxvxzBZ03pGrDprGEDnHEqS0", # Karstoft Å ved Skarrildhus
"1MGXP6audGZCH0Dz6iNJ27mHGUOA", # Omme Å ved Farre
"1q0d_VvbuvqHvHljTSeuv3QkMty9Sjg6O", # Omme Å ved Stovstrup,
"1tmD0iHbHGayL4GgtiKWyBESDu4uamFmC", # Omme Å ved Rabæk
"1ojlbyHZ7lwkeiYrUWFN6nz3Qunw", # Holtum å v Fasterholt
"12DDsCWF1P8bRYwaDuZa0jhPTetw", # Vorgod Å ved Troldhede
"1Xoln0k9Xf7qS05QKrFzovBLkOk8" # Vorgod Å nedre
)
for (i in 1:length(mapIds)) {
lst <- stripKml(mapIds[i], Club = "LF1926", GroupNameLines = "medlem")
lst$datLines$LineGroupId <- lst$datLines$LineGroupId + i*10
datMarkers <- bind_rows(datMarkers, lst$datMarkers) %>% filter(!is.na(Icon))
datLines <- bind_rows(datLines, lst$datLines)
}
# lst <- stripKml("1BxltqquXBJRRxj2_GVWzjA1TbhQ", Club = "LF1926", GroupNameMarkers = "parkering", GroupNameLines = "medlem") # Skarrild
# lst$datLines <- lst$datLines %>% mutate(Group = if_else(str_detect(Text, fixed('clasonborg', ignore_case=TRUE)), "dagkort", Group))
# datMarkers <- bind_rows(datMarkers, lst$datMarkers) %>%
# filter(!is.na(Icon))
# datLines <- bind_rows(datLines, lst$datLines)
## LFSO
lst <- stripKml("1epDPyEYZsmz3gGpgUZi5UbnnlPc", Club = "LFSO")
datMarkers <- bind_rows(datMarkers, lst$datMarkers)
datLines <- bind_rows(datLines, lst$datLines)
## Write to csv
write_csv(datMarkers, str_c(prefix, "_mapmarkers.csv"))
write_csv(datLines, str_c(prefix, "_maplines.csv"))
## Render reports
render("reports/skjern/skjern-kort.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-salmometer.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-lock-flow.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-weight.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-watertemp.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-waterlevel.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-pressure.Rmd",output_dir = "docs/skjern")
render("reports/skjern/skjern-catch.Rmd",output_dir = "docs/skjern")
render("docs/index.md",output_dir = "docs/")