maps: Draw Geographical Maps

地図の描画

> library(maps)

バージョン: 3.0.0.2

関数名 概略
area.map Area of projected map regions
canada.cities Database of Canadian cities
county United States County Map
county.fips FIPS county codes for US County Map
france France Map
identify.map Identify regions on a map
iso.expand Identify countries by ISO 3166 codes (2 or 3 letters) or by Sovereignty.
iso3166 ISO 3166 country codes (2 or 3 letters) and sovereignty.
italy Italy Map
legacy_world Legacy low resolution World Map.
map Draw Geographical Maps
map.axes Draw Axes on Geographical Maps
map.cities Add Cities to Existing Map
map.scale Add Scale to Existing Unprojected Map
map.text Draw a map with labeled regions
map.where Locate points on a map
match.map Index map regions
nz New Zealand Basic Map
ozone Sample datasets
smooth.map Smooth out aggregated data
state United States State Boundaries Map
state.carto United States State Population Cartogram Map
state.fips FIPS state codes for US 48 State Map
state.vbm United States State Visibility Base Map
us.cities Database of US cities
usa United States Coast Map
world Low (mid) resolution World Map
world.cities Database of world cities
world.legacy Legacy world map
world2 Pacific Centric Low resolution World Map

map

地図を描画するための関数

Arguments

  • database
  • regions
  • exact
  • boundary
  • interior
  • projection
  • parameters
  • orientation
  • fill
  • col
  • plot
  • namesonly
  • xlim
  • ylim
  • wrap
  • resolution
  • type
  • bg
  • mar
  • myborder
> map(database = "world", 
+     regions = c("Japan", "China"))

map.axes

外側の枠を表示させる

map.cities

既存の地図に都市の位置をプロットする

Arguments

  • x
  • country
  • label
  • minpop
  • mapop
  • capitals... 表示する都市。
    1. 首都
    2. 地方の主要な都市
    3. 地域の都市
  • cex
  • projection
  • parameters
  • orientation
  • pch
  • ...
> map("world2", "Japan") # 日本の地図を描く
> map.cities(country = "Japan", capitals = 1) # 都市の位置に点を鬱

map.scale

縮尺を表示させる

map.text

地名を表示

> map.text("county", "new jersey")

ozone

> data("ozone")
> str(ozone)

'data.frame':    41 obs. of  3 variables:
 $ x     : num  -74 -74.6 -74.7 -74.1 -74.3 ...
 $ y     : num  40.2 40.6 40.8 40.7 40.7 ...
 $ median: atomic  59 58 90 80 50 47 81 56 55 72 ...
  ..- attr(*, "Label")= chr "Median daily maxima for June to August"

us.cities

> data("us.cities")
> dplyr::glimpse(us.cities)

Observations: 1,005
Variables: 6
$ name        (chr) "Abilene TX", "Akron OH", "Alameda CA", "Albany GA...
$ country.etc (chr) "TX", "OH", "CA", "GA", "NY", "OR", "NM", "LA", "V...
$ pop         (int) 113888, 206634, 70069, 75510, 93576, 45535, 494962...
$ lat         (dbl) 32.45, 41.08, 37.77, 31.58, 42.67, 44.62, 35.12, 3...
$ long        (dbl) -99.74, -81.52, -122.26, -84.18, -73.80, -123.09, ...
$ capital     (int) 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...

world

低（中）規模解像度での世界地図

> map('world', fill = TRUE, col = 1:10)

world2

太平洋を中心にした世界地図

> map("world2")