我想制作多米尼加共和国的等值线图。至于边界,我所需要的只是该国家内的州。
我尝试了以下内容:
map <- GetMap('Dominican Republic' , zoom = 8 , )
PlotOnStaticMap(map)
PlotPolysOnStaticMap(map , polys)
答案 0 :(得分:4)
您可以在没有RGoogleMaps的情况下执行此操作。有shapefile&amp;加州大学戴维斯分校的RData文件适用于地球上的每个地区。以下带注释的代码:
theme_map
您可以使用类似方式使用其他实际shapefile:
library(sp)
library(ggplot2)
# theme_map
devtools::source_gist("https://gist.github.com/hrbrmstr/33baa3a79c5cfef0f6df")
# the DR "shapefile"
download.file("http://biogeo.ucdavis.edu/data/gadm2/R/DOM_adm1.RData", "DOM_adm1.RData")
load("DOM_adm1.RData")
# for plotting with ggplot2
dr_map <- fortify(gadm)
# build some sample data, note that we'll be using
# the polygon "id" for plotting so you'll need that in the
# data frame
set.seed(1492)
choro <- data.frame(id=gadm@data$ID_1,
place=gadm@data$NAME_1,
value=sample(100, nrow(gadm@data)))
# you can look at the data with this (it won't be shown here)
head(choro)
# plot
gg <- ggplot()
# base map layer
gg <- gg + geom_map(data=dr_map, map=dr_map,
aes(x=long, y=lat, map_id=id),
fill="white", color="#7f7f7f", size=0.25)
# DR choro layer
gg <- gg + geom_map(data=choro, map=dr_map,
aes(fill=value, map_id=id),
color="#7f7f7f", size=0.25)
# lambert is a gd proj for DR
gg <- gg + coord_map("lambert", lat0=17.5, lat1=20)
# clean up map chart junk
gg <- gg + theme_map()
# move legend
gg <- gg + theme(legend.position="right")
# plot it
gg
答案 1 :(得分:0)
我创建了一个R包choroplethrAdmin1,旨在简化R中世界上每个国家的行政级别1等值区域地图的创建。
ordered_table = {}
function ordered_table.insert(t, k, v)
if not rawget(t._values, k) then -- new key
t._keys[#t._keys + 1] = k
end
if v == nil then -- delete key too.
ordered_table.remove(t, k)
else -- update/store value
t._values[k] = v
end
end
local function find(t, value)
for i,v in ipairs(t) do
if v == value then
return i
end
end
end
function ordered_table.remove(t, k)
local v = t._values[k]
if v ~= nil then
table.remove(t._keys, find(t._keys, k))
t._values[k] = nil
end
return v
end
function ordered_table.index(t, k)
return rawget(t._values, k)
end
function ordered_table.pairs(t)
local i = 0
return function()
i = i + 1
local key = t._keys[i]
if key ~= nil then
return key, t._values[key]
end
end
end
function ordered_table.new(init)
init = init or {}
local t = {_keys={}, _values={}}
local n = #init
if n % 2 ~= 0 then
error"in ordered_table initialization: key is missing value"
end
for i=1,n/2 do
local k = init[i * 2 - 1]
local v = init[i * 2]
if t._values[k] ~= nil then
error("duplicate key:"..k)
end
t._keys[#t._keys + 1] = k
t._values[k] = v
end
return setmetatable(t,
{__newindex=ordered_table.insert,
__len=function(t) return #t._keys end,
__pairs=ordered_table.pairs,
__index=t._values
})
end
--- Example Usage:
local t = ordered_table.new{
"hello", 1, -- key, value pairs
2, 2,
50, 3,
"bye", 4,
200, 5
}
print(#t)
print("hello is", t.hello)
print()
for k, v in pairs(t) do --- Lua 5.2 __pairs metamethod
print(k, v)
end
t.bye = nil -- delete that
t[2] = 7 -- use integer keys
print(#t)
要创建一个等值区,您需要有一个包含两列的data.frame:一个命名区域,一个命名值。区域必须是地图的名称。
library(choroplethr)
library(choroplethrAdmin1)
# ?admin1_map just draws an outline
admin1_map("dominican republic")