[英]Polygon Maps in R (spatial data)
Could someone help me create a polygon map according to the real estate dataset( https://docs.google.com/spreadsheets/d/1g_awI6hnD80IVeZDOWpvU_NHdHxsk_Uyo8HML9p-yHo/edit#gid=0 )? 有人可以根据房地产数据集( https://docs.google.com/spreadsheets/d/1g_awI6hnD80IVeZDOWpvU_NHdHxsk_Uyo8HML9p-yHo/edit#gid=0 )帮助我创建多边形地图吗? I want to get a regional map of Sacramento with different colors representing different real estate prices.
我想获取一份萨克拉曼多的区域地图,用不同的颜色代表不同的房地产价格。
The code that I provided below came from a sample polygon R code. 我在下面提供的代码来自示例多边形R代码。 I can't figure out how the "merge" function works in polygon maps.
我无法弄清楚“合并”功能在多边形地图中的工作方式。
Thank you, 谢谢,
#load libraries
library(ggmap)
library(ggplot2)
library(gpclib)
library(rgeos)
getClass("Polygon")
getClass("SpatialPolygons")
realestate.f <- fortify(realestate, region = "zip")
realestate.f <- merge(realestate.f, realestate, by.x = "longitude", by.y = "latitude")
head(realestate.f)
Map <- ggplot(realestate.f, aes(longitude, latitude, price)) +
geom_polygon() + coord_equal() +
labs(x = "longitude", y = "latitude", "price") +
ggtitle("Sacramento Real Estate Prices")
Map + scale_fill_gradient(low = "white", high = "black")`
@Yun Zhou: it looks like you are starting with point data. @Yun Zhou:看来您是从点数据开始的。 I believe you first need to convert your dataframe to a SpatialPointsDataFrame before you can convert the points to polygonal data (or some density function).
我相信您首先需要将数据框转换为SpatialPointsDataFrame,然后才能将点转换为多边形数据(或某些密度函数)。
#dataframe from csv
df.in
# Coerce to SpatialPointsDataFrame
coordinates(df.in) = c("latitude", "longitude")
class(df.in) #it should be a sptial points data frame
plot(df.in)
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