r-如何在ggplot2中设置标尺\颜色\布鲁尔()的导向尺寸?

r-如何在ggplot2中设置标尺\颜色\布鲁尔()的导向尺寸?,r,ggplot2,ggmap,R,Ggplot2,Ggmap,我使用ggmap在谷歌地图上绘制散布图。我想调整scale\u color\u brewer()的指南字体大小。 数据是这样的 shopGlng shopGlat shopPower 1 121.2149 31.04965 35 2 121.5595 31.22596 40 3 121.2326 31.00489 35 4 121.5184 31.22838 35 5 121.5160 31.15689 45 6

我使用ggmap在谷歌地图上绘制散布图。我想调整scale\u color\u brewer()的指南字体大小。 数据是这样的

 shopGlng shopGlat shopPower
1  121.2149 31.04965        35
2  121.5595 31.22596        40
3  121.2326 31.00489        35
4  121.5184 31.22838        35
5  121.5160 31.15689        45
6  121.4557 31.26370        35
7  121.5009 31.25928        35
8  121.1749 30.89317        35
9  121.1990 31.04987        35
10 121.5977 31.26352        35
这是我的密码

library(ggplot2)
library(magrittr)
library(ggmap)

data = read.csv('file')

# ny_center <- geocode("new york", source = "google")
sh_center <- geocode("shanghai", source = "google")
map <- get_googlemap(
  zoom = 11,
  # Use Alternate New York City Center Coords
  center = sh_center %>% as.numeric,
  maptype = "hybrid",
  sensor = FALSE)

color <- as.character(data$shopPower/10)

p <- ggmap(map) +
  geom_point(size = 1,
             data = data,
             aes(x = shopGlng,
                 y = shopGlat,
                 color = color)) +
  xlab("") +
  ylab("") +
  scale_colour_brewer(palette = "Set1", guide = "legend")

p
库(ggplot2)
图书馆(magrittr)
图书馆(ggmap)
data=read.csv('文件')

#您可以使用
legend.text
legend.title
设置颜色栏的字体大小

p <- ggmap(map) +
     geom_point(size = 1,
                data = data,
                aes(x = shopGlng,
                    y = shopGlat,
                    color = color)) +
     xlab("") +
     ylab("") +
     scale_colour_brewer(palette = "Set1", guide = "legend")+
     theme(legend.text = element_text(size=15),
           legend.title = element_text(size=15)  )

p您可以使用
legend.text
legend.title
设置颜色栏的字体大小

p <- ggmap(map) +
     geom_point(size = 1,
                data = data,
                aes(x = shopGlng,
                    y = shopGlat,
                    color = color)) +
     xlab("") +
     ylab("") +
     scale_colour_brewer(palette = "Set1", guide = "legend")+
     theme(legend.text = element_text(size=15),
           legend.title = element_text(size=15)  )
p