我打算使用census data分析澳大利亚人googleway来产生热图。
我的方法是使用包含melbourne
列的googleway SA2_NAME
中准备好的数据,并在将rgdal转换后,将其与普查数据中的ESRI shape文件结合起来(以下代码) 。问题在于,对于多段线来说,通过SA2_NAME
连接并不是唯一的-一些SA2区域由多个“子”区域组成。因此,这似乎不是一个好方法。
更好的方法是将下面的ESRI形状数据sa2_shape
转换为具有melbourne
数据格式的折线。怎么做?
下面的代码生成一个“桥接”数据帧,用于将melbourne
中的googleway
数据与具有SA2_MAIN
作为关键字段的ABS数据相结合-如上所述,这种“ hack”方法是折线不是SA2_NAME
library(tidyverse)
library(googleway)
library(rgdal)
shape_path <- "abs_data/sa2_esri_shapefile"
shape_file <- "SA2_2016_AUST"
sa2_shape <- readOGR(shape_path, shape_file)
sa2_df <- data.frame(sa2_shape$SA2_MAIN, sa2_shape$SA2_NAME)
names(sa2_df) <- c("SA2_MAIN", "SA2_NAME")
sa2_df <- sa2_df %>% semi_join(melbourne, by = "SA2_NAME")
答案 0 :(得分:1)
根据SymbolixAU注释-使用sf
加载数据,并且只要geometry
不是一个空列表,此方法就起作用-请参见下面的代码。
library(tidyverse)
library(googleway)
library(sf)
shape_path <- "abs_data/sa2_esri_shapefile"
shape_file <- "SA2_2016_AUST"
shape_file_path <- paste0(shape_path, "/", shape_file, '.shp')
sa2_shape <- sf::st_read(shape_file_path)
sa2_shape <- sa2_shape %>%
filter(STATE_NAME == "Victoria",
AREA_SQKM > 0)# This is important - otherwise google_map() will crash!
google_map() %>%
googleway::add_polygons(data = sa2_shape,
polyline = "geometry",
fill_colour = "SA2_NAME")
> sa2_shape %>% head()
Simple feature collection with 6 features and 6 fields
geometry type: MULTIPOLYGON
dimension: XY
bbox: xmin: 143.6849 ymin: -37.68153 xmax: 143.951 ymax: -37.46847
epsg (SRID): 4283
proj4string: +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs
SA2_MAIN SA2_MAIN16 SA2_NAME STATE_CODE STATE_NAME AREA_SQKM geometry
1 201011001 201011001 Alfredton 2 Victoria 52.7111 MULTIPOLYGON (((143.7072 -3...
2 201011002 201011002 Ballarat 2 Victoria 12.3787 MULTIPOLYGON (((143.8675 -3...
3 201011003 201011003 Ballarat - North 2 Victoria 92.3577 MULTIPOLYGON (((143.853 -37...
4 201011004 201011004 Ballarat - South 2 Victoria 32.8541 MULTIPOLYGON (((143.8675 -3...
5 201011005 201011005 Buninyong 2 Victoria 51.5855 MULTIPOLYGON (((143.8533 -3...
6 201011006 201011006 Delacombe 2 Victoria 34.1608 MULTIPOLYGON (((143.7072 -3...