r - ggplot2 + 世界地图 = 旧数据？

Question

我正在尝试使用 ggplot2 绘制世界地图。这是我到目前为止所拥有的:

library(ggplot2)
world <- map_data("world")
ggplot(aes(long, lat, group=group), data=world) + geom_polygon()

这很有效并且很容易做到。不幸的是，世界地图数据似乎很旧。例如，缺少新加坡和捷克共和国等国家，而是有苏联等地区。知道如何获得更多最新的世界地图数据吗？

sort( unique(world$region) )  [1] "Afghanistan"              "Albania"                  "Algeria"                   [4] "American Samoa"           "Andaman Islands"          "Andorra"                   [7] "Angola"                   "Anguilla"                 "Antarctica"               [10] "Antigua"                  "Aral Sea"                 "Argentina"                [13] "Aruba"                    "Australia"                "Austria"                  [16] "Azores"                   "Bahamas"                  "Bahrain"                  [19] "Bangladesh"               "Barbados"                 "Barbuda"                  [22] "Belgium"                  "Belize"                   "Benin"                    [25] "Bhutan"                   "Black Sea"                "Bolivia"                  [28] "Bonaire"                  "Botswana"                 "Brazil"                   [31] "Brunei"                   "Bulgaria"                 "Burkina Faso"             [34] "Burundi"                  "California"               "Cambodia"                 [37] "Cameroon"                 "Canada"                   "Canary Islands"           [40] "Cape Verde"               "Caspian Sea"              "Cayman Islands"           [43] "Central African Republic" "Chad"                     "Chagos Archipelago"       [46] "Chile"                    "China"                    "Colombia"                 [49] "Comoros"                  "Congo"                    "Cook Islands"             [52] "Costa Rica"               "Cuba"                     "Curacao"                  [55] "Cyprus"                   "Czechoslovakia"           "Denmark"                  [58] "Djibouti"                 "Dominica"                 "Dominican Republic"       [61] "Ecuador"                  "Egypt"                    "El Salvador"              [64] "Equatorial Guinea"        "Ethiopia"                 "Falkland Islands"         [67] "Fiji"                     "Finland"                  "France"                   [70] "French Guiana"            "French Polynesia"         "Gabon"                    [73] "Gambia"                   "Gaza Strip"               "Germany"                  [76] "Ghana"                    "Great Bitter Lake"        "Great Lakes"              [79] "Greece"                   "Greenland"                "Grenada"                  [82] "Guadeloupe"               "Guatemala"                "Guinea"                   [85] "Guinea-Bissau"            "Guyana"                   "Haiti"                    [88] "Hawaii"                   "Honduras"                 "Hungary"                  [91] "Iceland"                  "India"                    "Indonesia"                [94] "Iran"                     "Iraq"                     "Ireland"                  [97] "Irian Jaya"               "Isle of Man"              "Isle of Wight"           [100] "Israel"                   "Italy"                    "Ivory Coast"             [103] "Jamaica"                  "Japan"                    "Jordan"                  [106] "Kenya"                    "Kiribati"                 "Kuwait"                  [109] "Lacul Greaca"             "Lake Albert"              "Lake Fjerritslev"        [112] "Lake Kariba"              "Lake Malawi"              "Lake Pasvikelv"          [115] "Lake Tanganyika"          "Lake Titicaca"            "Lake Victoria"           [118] "Laos"                     "Lebanon"                  "Lesotho"                 [121] "Liberia"                  "Libya"                    "Liechtenstein"           [124] "Luxembourg"               "Madagascar"               "Madeira Islands"         [127] "Malawi"                   "Malaysia"                 "Maldives"                [130] "Mali"                     "Malta"                    "Marshall Islands"        [133] "Martinique"               "Maug Island"              "Mauritania"              [136] "Mauritius"                "Mexico"                   "Micronesia"              [139] "Monaco"                   "Mongolia"                 "Montserrat"              [142] "Morocco"                  "Mozambique"               "Myanmar"                 [145] "Namibia"                  "Nauru"                    "Nepal"                   [148] "Netherlands"              "Neutral Zone"             "Nevis"                   [151] "New Caledonia"            "New Zealand"              "Nicaragua"               [154] "Niger"                    "Nigeria"                  "North Korea"             [157] "Northern Mariana Islands" "Norway"                   "Oman"                    [160] "Pakistan"                 "Panama"                   "Papua New Guinea"        [163] "Paracel Islands"          "Paraguay"                 "Peru"                    [166] "Philippines"              "Pitcairn Islands"         "Poland"                  [169] "Portugal"                 "Puerto Rico"              "Qatar"                   [172] "Romania"                  "Rwanda"                   "Saint Eustatius"         [175] "Saint Kitts"              "Saint Lucia"              "Saint Vincent"           [178] "Saint-Barthelemy"         "Saint-Martin"             "Samoa"                   [181] "San Marino"               "Sao Tome and Principe"    "Sardinia"                [184] "Saudi Arabia"             "Senegal"                  "Seychelles"              [187] "Sicily"                   "Sierra Leone"             "Sin Cowe Island"         [190] "Solomon Islands"          "Somalia"                  "Sonsorol Island"         [193] "South Africa"             "South Korea"              "South Sandwich Islands"  [196] "Spain"                    "Spratly Island"           "Sri Lanka"               [199] "Sudan"                    "Suriname"                 "Swaziland"               [202] "Sweden"                   "Switzerland"              "Syria"                   [205] "Tanzania"                 "Thailand"                 "Tobago"                  [208] "Togo"                     "Tokelau"                  "Tonga"                   [211] "Trinidad"                 "Tunisia"                  "Turkey"                  [214] "Turks and Caicos"         "Tuvalu"                   "Uganda"                  [217] "UK"                       "United Arab Emirates"     "Uruguay"                 [220] "USA"                      "USSR"                     "Vanuatu"                 [223] "Venezuela"                "Vietnam"                  "Virgin Islands"          [226] "Vislinskiy Zaliv"         "Wales"                    "West Bank"               [229] "Western Sahara"           "Yemen"                    "Yugoslavia"              [232] "Zaire"                    "Zambia"                   "Zimbabwe"   

Answer 1

你有没有和mapdata中的数据库进行比较？ ？

如果这还不够好，您可以使用 Global Administration Database ，或 NOAA 的 GSHHG database .

如果您需要处理 shapefile 的帮助，空间分析 (here) 中有一个很棒的示例。使用ggplot2。