R中的等值线绘图问题

编辑：我已经意识到问题的根源。我只有我有数据的县的计数信息，该信息少于我正在绘制的区域中的县数量。

按理说，问题代码行在这里：

mapnames <- map("county",plot=FALSE)[4]$names
colorsmatched <- d$colorBuckets [na.omit(match(mapnames ,d$stcon))]

有人对如何从地图库中生成与纽约州、新泽西州、康涅狄格州和宾夕法尼亚州的县数相匹配的适当长度的向量有建议吗？我想合并我拥有的计数数据，并包括我没有信息的县的零。

我正在尝试遵循此处描述的教程：http://www.thisisthegreenroom.com/2009/choropleths-in-r/ http://www.thisisthegreenroom.com/2009/choropleths-in-r/

下面的代码执行，但它要么没有将我的数据集与maps_counties数据正确匹配，要么没有按照我期望的顺序绘制它。例如，大纽约地区的结果区域没有显示密度，而宾夕法尼亚州的随机县则显示最高密度。

我的数据表的一般格式是：

county state count
fairfield connecticut 17
hartford connecticut 6
litchfield connecticut 3
new haven connecticut 12
...
...
westchester new york 70
yates new york 1
luzerne pennsylvania 1

请注意，此数据按州和县排序，包括康涅狄格州、新泽西州、纽约州和宾夕法尼亚州的数据。

首先，我读入我的数据集：

library(maps)
library(RColorBrewer)
d <- read.table("gissum.txt", sep="\t", header=TRUE)

#Concatenate state and county info to match maps library
d$stcon <- paste(d$state, d$county, sep=",")

#Color bins
colors = brewer.pal(5, "PuBu")
d$colorBuckets <- as.factor(as.numeric(cut(d$count,c(0,10,20,30,40,50,300))))

这是我的搭配

mapnames <- map("county",plot=FALSE)[4]$names
colorsmatched <- d$colorBuckets [na.omit(match(mapnames ,d$stcon))]

绘图：

map("county"
  ,c("new york","new jersey", "connecticut", "pennsylvania")
  ,col = colors[d$colorBuckets[na.omit(match(mapnames ,d$stcon))]]
  ,fill = TRUE
  ,resolution = 0
  ,lty = 0
  ,lwd= 0.5
)
map("state"
  ,c("new york","new jersey", "connecticut", "pennsylvania")
  ,col = "black"
  ,fill=FALSE
  ,add=TRUE
  ,lty=1
  ,lwd=2
)

map("county"
   ,c("new york","new jersey", "connecticut", "pennsylvania")
   ,col = "black"
   ,fill=FALSE
   ,add=TRUE
  , lty=1
  , lwd=.5
)
title(main="Respondent Home ZIP Codes by County")

我确信我错过了一些基本的内容：地图函数绘制项目的顺序 - 但我似乎无法弄清楚。谢谢您的帮助。如果您需要更多信息，请告诉我。

通过将您的数据与选定州地图中的数据合并，可以解决您的问题。这是您要找的吗？

library(maps);
library(RColorBrewer);

# Create Dummy Data Frame to Play With

d = rbind(c('fairfield','connecticut',17),c('westchester','new york',70), c('luzerne','pennsylvania',1));
d = data.frame(d);
names(d) = c("county", "state", "count");
d$count = as.numeric(as.character(d$count));
d$stcon = paste(d$state, d$county, sep=",");

# Extract mapnames for States

mapnames2 = map("county",c("new york","new jersey", "connecticut", "pennsylvania"),plot=FALSE)[4]$names;
mapnames2 = data.frame(mapnames2);
names(mapnames2) = "stcon";

# Merge with d

d = merge(mapnames2, d, all = T);
d$count[is.na(d$count)] = 0;


# Color bins
colors = brewer.pal(5, "PuBu");
d$colorBuckets = as.factor(as.numeric(cut(d$count,c(0,10,20,30,40,50,300))));

map("county"
  ,c("new york","new jersey", "connecticut", "pennsylvania")
  ,col = colors[d$colorBuckets]
  ,fill = TRUE
  ,resolution = 0
  ,lty = 0
  ,lwd= 0.5
)
map("state"
  ,c("new york","new jersey", "connecticut", "pennsylvania")
  ,col = "black"
  ,fill=FALSE
  ,add=TRUE
  ,lty=1
  ,lwd=2
)

map("county"
   ,c("new york","new jersey", "connecticut", "pennsylvania")
   ,col = "black"
   ,fill=FALSE
   ,add=TRUE
  , lty=1
  , lwd=.5
)
title(main="Respondent Home ZIP Codes by County")