#rm(list=ls())
#######get required libraries#######
library(ggplot2)
library(dplyr)
library(tidyverse)
library(RSwissMaps)
library(viridis)

#######set working direction and get the data
setwd("~/BAK_Projekt")

#get datasets
df_bak <- read.csv("~/BAK_Projekt/Liste_BAK4.csv", sep = ";")
df_bin <- read.csv("~/BAK_Projekt/df_Akteure_binwide.csv", sep = ";")

#base map
mapCH <- RSwissMaps::mapCH2016 %>% dplyr::rename("bfs_nr"="can")

#create dataset on canton level
df_bak_red <- df_bak %>% 
  dplyr::group_by(Kanton) %>% 
  dplyr::summarise(count=n())
df_bak_red <- df_bak_red[!(df_bak_red$Kanton ==""),]
df_bak_red$Kt <- c("AG", "AI", "AR", "BL", "BS", "BE", "FR", "GE", "GL", "GR", "JU", "LU", "NE", 
                     "NW", "OW", "SH", "SZ", "SO", "SG", "TI", "TG", "UR", "VD", "VS", "ZG", "ZH")
df_bak_red$bfs_nr <- as.integer(c("19", "16", "15", "13", "12", "2", "10", "25", "8", "18", "26", "3", "24", 
                                 "7", "6", "14", "5", "11", "17", "21", "20", "4", "22", "23", "9", "1"))
df_binKanton <- full_join(df_bak_red, df_bin, by="Kanton")

#get coordinates (required reference system CH1903/LV03)
mapCH.short <- mapCH[!duplicated(mapCH$bfs_nr),]
df.map <- full_join(df_bak_red, mapCH.short, by="bfs_nr") %>% 
  select("bfs_nr", "Kt", "name", "count", "bfs_nr", "long", "lat")



# Plotting sample data
RSwissMaps::can.plot(df.map$bfs_nr, df.map$count, 2016, 
         boundaries = "c", boundaries_size = 0.2, boundaries_color = "white",
         title = "Verteilung der Institutionen auf Kantonsebene")
  #geom_text(aes(x=df.map$long, y=df.map$lat ,label = df.map$Kt))



##Figure 1
df_mm1 <- dplyr::filter(df_binKanton, !(materielles...mobiles.Kulturerbe %in% "")) %>% 
  group_by(Handlungsfelder, rechtliche.Institutionalisierung.des.Auftrags, bfs_nr, Kanton) %>% dplyr::summarise(materielles_mobiles_Kulturerbe=n()) %>% 
  filter(Handlungsfelder == "Zugänglichmachen") %>% group_by(bfs_nr) %>% mutate(percent = prop.table(materielles_mobiles_Kulturerbe)) %>% 
  filter(rechtliche.Institutionalisierung.des.Auftrags != "mit eigenem (privatem) Auftrag")
f1_mm <- RSwissMaps::can.plot(df_mm1$bfs_nr, df_mm1$percent, 2016, 
                     boundaries = "c", boundaries_size = 0.2, boundaries_color = "white",
                     title = "Anzahl Akteure (nach Institutionalisierung Auftrag) im Handlungsfeld \n'Zugänglichmachen' bezüglich materiellem und mobilen Kulturerbe")

df_mi1 <- dplyr::filter(df_binKanton, !(materielles...immobiles.Kulturerbe %in% "")) %>% 
  group_by(Handlungsfelder, rechtliche.Institutionalisierung.des.Auftrags, bfs_nr, Kanton) %>% dplyr::summarise(materielles_immobiles_Kulturerbe=n()) %>% 
  filter(Handlungsfelder == "Zugänglichmachen") %>% group_by(bfs_nr) %>% mutate(percent = prop.table(materielles_immobiles_Kulturerbe)) %>% 
  filter(rechtliche.Institutionalisierung.des.Auftrags != "mit eigenem (privatem) Auftrag")
f1_mi <- RSwissMaps::can.plot(df_mi1$bfs_nr, df_mi1$percent, 2016, 
                              boundaries = "c", boundaries_size = 0.2, boundaries_color = "white",
                              title = "Anzahl Akteure (nach Institutionalisierung Auftrag) im Handlungsfeld \n'Zugänglichmachen' bezüglich materiellem und immobilen Kulturerbe")

df_i1 <- dplyr::filter(df_binKanton, !(immaterielles.Kulturerbe %in% "")) %>% 
  group_by(Handlungsfelder, rechtliche.Institutionalisierung.des.Auftrags, bfs_nr, Kanton) %>% dplyr::summarise(immaterielles.Kulturerbe=n()) %>% 
  filter(Handlungsfelder == "Zugänglichmachen") %>% group_by(bfs_nr) %>% mutate(percent = prop.table(immaterielles.Kulturerbe)) %>% 
  filter(rechtliche.Institutionalisierung.des.Auftrags != "mit eigenem (privatem) Auftrag")
f1_i <- RSwissMaps::can.plot(df_i1$bfs_nr, df_i1$percent, 2016, 
                              boundaries = "c", boundaries_size = 0.2, boundaries_color = "white",
                              title = "Anzahl Akteure (nach Institutionalisierung Auftrag) im Handlungsfeld \n'Zugänglichmachen' bezüglich immateriellem Kulturerbe")



ggsave(plot=f1_mm, filename = "Figure1_mm.jpg", device="jpg", width = 15, height = 10,
       path = "~/BAK_Projekt/Figures")
ggsave(plot=f1_mi, filename = "Figure1_im.jpg", device="jpg", width = 15, height = 10,
       path = "~/BAK_Projekt/Figures")
ggsave(plot=f1_i, filename = "Figure1_i.jpg", device="jpg", width = 15, height = 10,
       path = "~/BAK_Projekt/Figures")








####Example for district map -> can be deleted####
# Generating sample data:
dt.dis <- dis.template(2016)
for(i in 1:nrow(dt.dis)){dt.dis$values[i] <- sample(c(300:700), 1)/1000}
# Plotting sample data:
dis.plot(dt.dis$bfs_nr, dt.dis$values, 2016,
         boundaries = "c",
         title = "Beispiel auf Bezirksebene (random data)")
# Plotting sample data for the canton of Aargau:
dis.plot(dt.dis$bfs_nr, dt.dis$values, 2016, cantons = c("GR"),
         lakes = c("none"),
         title = "Beispiel Kanton Graubünden (Bezirksebene)")