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city_fill_map.R
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city_fill_map.R
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#---------------------------------------------------#
######## Project: china_map_fill.Rproj ########
# !/usr/bin/env Rscript
# -*- coding: utf-8 -*-
#
# File: city_fill_map
# Author: Baha
# Createdate: Tue Dec 01 13:57:33 2020
# Software: R version 4.0.2 (2020-06-22)
# Filepath: E:/Projects/graduate_projects/bw_tmperature_figs/china_map_fill
# Desc:
#---------------------------------------------------#
# load_packages -------------------------------------------------------------------------------
pacman::p_load(tidyverse,sf,fs,RColorBrewer,hrbrthemes,ggspatial)
# load_data -----------------------------------------------------------------------------------
data_city <- read_csv("dataset/data_city.csv")
cn <- st_read("dataset/china_city_full_map.json") %>%
mutate(city_id = str_sub(NAME, 1, 2))
cn %>%
left_join(data_city,
by = c("city_id" = "city")) %>%
mutate(casenum = as.double(casenum)) %>%
mutate(casenum = case_when(
is.na(casenum) ~ 0,
T ~ casenum)) %>%
mutate(classify=cut(casenum,
breaks = c(0.0, 19.99, 78.99, 159.99,259.99,399.9,100000),
labels = c("无", "20 ~ 78", "79 ~ 159","160 ~ 259","260 ~ 399",
"> 400"),
include.lowest = TRUE)) -> map_data_city
# color_options -------------------------------------------------------------------------------
col_standard <- c("#542275",
"#933581",
"#B2407E",
"#E2697A",
"#F3846F",
"#FDB783")
col_light <- c(
#"#fee5d9",
"white" ,
#"#fcbba1",
"#fc9272",
"#fb6a4a",
"#ef3b2c",
"#cb181d",
"#99000d")
col_white <- c("#542275",
"#933581",
"#B2407E",
"#E2697A",
"#F3846F",
"#F5F5F5")
col_rmy <- c(
"#933581",
"#B2407E",
"#E2697A",
"#F3846F",
"#FDB783",
# "#F5F5F5"
"white")
# Fonts_options -------------------------------------------------------------------------------
windowsFonts(enfont=windowsFont("Times New Roman"))
# visualize_cityince --------------------------------------------------------------------------
ggplot(map_data_city) +
geom_sf(data=subset(map_data_city,
NAME!="国界线"),
aes(fill=classify),
color = "gray50", size = 0.2) +
geom_sf(data=subset(map_data_city,
NAME=="国界线"),
color = "black",
size = 0.05)+
geom_sf(data=subset(map_data_city,
NAME=="小地图框格"),
color = "black", size = 0.5)+
theme_ipsum(base_family = "enfont", grid = "") +
worldtilegrid::theme_enhance_wtg() +
theme(legend.position = c(0.2, 0.1),
legend.direction = "horizontal",
panel.grid.major = element_blank(),
panel.grid.minor = element_blank()) +
theme(plot.title = element_text(hjust = 0.5),
plot.subtitle =element_text(hjust = 0.5) )+
guides(fill = guide_legend(title = "Population",
title.position = "top",
title.hjust = 0.3,
nrow = 3)) +
labs(title = "cityince Distribution") +
#scale_fill_gradient(low = "white",high = "#99000d")+
scale_fill_manual(values = rev(col_rmy))+
annotation_scale(location = "tl", width_hint = 0.1,
pad_x = unit(0.1, "cm"),
pad_y = unit(1.65, "cm"),
text_family = "enfont") +
annotation_north_arrow(location = "tl", which_north = "False",
height = unit(1, "cm"),
pad_x = unit(0.5, "cm"),
pad_y = unit(0.65, "cm"),
style = north_arrow_fancy_orienteering(text_family = "enfont")) -> city_p
city_p
ggsave(filename = "output/city_fig_rmy_color.svg",plot =city_p,width = 12,height = 9,dpi = 800)