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| cdm <- joinCountryData2Map(dF = x, joinCode = "ISO2", nameJoinColumn = "country") | |
| fortified_polygons <- fortify(cdm) | |
| cdm <- as.data.frame(cdm[,c("value")]) | |
| fortified_polygons <- merge(fortified_polygons) | |
| > str(x) | |
| 'data.frame': 226 obs. of 2 variables: | |
| $ country: chr "AD" "AE" "AF" "AG" ... | |
| $ value : int 350 19655 644 206 1 6770 64038 59 880 123039 ... | |
| > str(cdm) | |
| 'data.frame': 244 obs. of 52 variables: | |
| $ ScaleRank : int 1 1 1 1 1 1 1 3 1 1 ... | |
| $ LabelRank : int 1 1 1 1 1 1 1 3 1 1 ... | |
| $ FeatureCla : Factor w/ 2 levels "Adm-0 country",..: 2 2 2 2 2 2 2 2 2 2 ... | |
| $ SOVEREIGNT : Factor w/ 202 levels "Afghanistan",..: 1 5 2 189 8 9 6 60 10 11 ... | |
| $ SOV_A3 : Factor w/ 202 levels "AFG","AGO","ALB",..: 1 2 3 5 6 7 8 61 10 11 ... | |
| $ ADM0_DIF : num 0 0 0 0 0 0 0 1 0 0 ... | |
| $ LEVEL : num 2 2 2 2 2 2 2 2 2 2 ... | |
| $ TYPE : Factor w/ 6 levels "Country","County",..: 6 6 6 6 6 6 5 3 1 6 ... | |
| $ ADMIN : Factor w/ 244 levels "Afghanistan",..: 1 7 3 228 11 12 9 76 15 16 ... | |
| $ ADM0_A3 : Factor w/ 244 levels "ABW","AFG","AGO",..: 2 3 5 8 9 10 12 14 16 17 ... | |
| $ GEOU_DIF : num 0 0 0 0 0 0 0 0 0 0 ... | |
| $ GEOUNIT : Factor w/ 244 levels "Afghanistan",..: 1 7 3 229 11 12 9 76 15 16 ... | |
| $ GU_A3 : Factor w/ 244 levels "ABW","AFG","AGO",..: 2 3 5 8 9 10 12 14 16 17 ... | |
| $ SU_DIF : num 0 0 0 0 0 0 0 0 0 0 ... | |
| $ SUBUNIT : Factor w/ 244 levels "Afghanistan",..: 1 7 3 229 11 12 9 76 15 16 ... | |
| $ SU_A3 : Factor w/ 244 levels "ABW","AFG","AGO",..: 2 3 5 8 9 10 12 14 16 17 ... | |
| $ NAME : Factor w/ 243 levels "Afghanistan",..: 1 7 3 229 11 12 9 75 15 16 ... | |
| $ ABBREV : Factor w/ 240 levels "A.C.Is.","Afg.",..: 2 8 4 222 11 12 9 74 15 14 ... | |
| $ POSTAL : Factor w/ 234 levels "A","AE","AF",..: 3 8 6 2 10 11 9 203 13 1 ... | |
| $ NAME_FORMA : Factor w/ 194 levels "Arab Republic of Egypt",..: 44 75 74 NA 2 76 NA 185 7 77 ... | |
| $ TERR_ : Factor w/ 13 levels "Assoc. with N.Z.",..: NA NA NA NA NA NA 10 9 NA NA ... | |
| $ NAME_SORT : Factor w/ 244 levels "Afghanistan",..: 1 7 3 229 11 12 9 78 15 16 ... | |
| $ MAP_COLOR : num 7 1 6 3 13 10 0 11 7 4 ... | |
| $ POP_EST : num 28400000 12799293 3639453 4798491 40913584 ... | |
| $ GDP_MD_EST : num 22270 110300 21810 184300 573900 ... | |
| $ FIPS_10_ : Factor w/ 3 levels "-99","0","FG": 2 2 2 2 2 2 2 2 2 2 ... | |
| $ ISO_A2 : Factor w/ 236 levels "-99","AD","AE",..: 4 9 7 3 11 8 10 206 14 13 ... | |
| $ ISO_A3 : Factor w/ 244 levels "ABW","AFG","AGO",..: 2 3 6 8 9 10 13 14 16 17 ... | |
| $ ISO_N3 : num 4 24 8 784 32 51 10 260 36 40 ... | |
| $ ISO3 : Factor w/ 244 levels "ABW","AFG","AGO",..: 2 3 6 8 9 10 13 14 16 17 ... | |
| $ LON : num 66.1 17.5 20 54.2 -65.1 ... | |
| $ LAT : num 33.9 -12.3 41.1 23.9 -35.2 ... | |
| $ ISO3.1 : Factor w/ 243 levels "ABW","AFG","AGO",..: 2 3 6 8 9 10 13 14 16 17 ... | |
| $ ADMIN.1 : Factor w/ 243 levels "Afghanistan",..: 1 7 3 227 11 12 9 75 15 16 ... | |
| $ REGION : Factor w/ 7 levels "Africa","Antarctica",..: 3 1 5 3 7 5 2 NA 4 5 ... | |
| $ continent : Factor w/ 6 levels "Africa","Antarctica",..: 4 1 4 4 6 4 2 NA 3 4 ... | |
| $ GEO3major : Factor w/ 7 levels "Africa","Asia and the Pacific",..: 2 1 3 7 4 3 6 NA 2 3 ... | |
| $ GEO3 : Factor w/ 24 levels "Antarctic","Arabian Peninsula",..: 17 20 8 2 16 10 1 NA 3 23 ... | |
| $ IMAGE24 : Factor w/ 26 levels "Antarctica","Asia-Stan",..: 9 21 5 14 18 19 1 NA 16 26 ... | |
| $ GLOCAF : Factor w/ 19 levels "Brazil","Canada",..: 14 17 4 9 13 5 NA NA 11 4 ... | |
| $ Stern : Factor w/ 13 levels "Australasia",..: 4 11 6 13 9 6 NA NA 1 6 ... | |
| $ SRESmajor : Factor w/ 4 levels "ALM","ASIA","OECD90",..: 2 1 4 1 1 4 NA NA 3 3 ... | |
| $ SRES : Factor w/ 11 levels "Central and Eastern Europe (EEU)",..: 9 10 1 4 3 5 NA NA 8 11 ... | |
| $ GBD : Factor w/ 21 levels "Asia Pacific, High Income",..: 4 18 8 15 13 2 NA NA 6 10 ... | |
| $ AVOIDnumeric: int 21 24 25 30 26 25 NA NA 10 25 ... | |
| $ AVOIDname : Factor w/ 30 levels "Australia","Brazil",..: 19 27 7 15 25 7 NA NA 1 7 ... | |
| $ LDC : Factor w/ 2 levels "LDC","other": 1 1 2 2 2 2 2 NA 2 2 ... | |
| $ SID : Factor w/ 2 levels "other","SID": 1 1 1 1 1 1 1 NA 1 1 ... | |
| $ LLDC : Factor w/ 2 levels "LLDC","other": 1 2 2 2 2 1 2 NA 2 2 ... | |
| $ country : chr "AF" "AO" "AL" "AE" ... | |
| $ value : int 644 880 6770 19655 123039 64038 NA NA 279202 126964 ... | |
| $ ISO_A2 : chr "AF" "AO" "AL" "AE" ... | |
| > str(fortified_polygons) | |
| 'data.frame': 12374 obs. of 7 variables: | |
| $ long : num 61.2 62.2 63 63.2 64 ... | |
| $ lat : num 35.7 35.3 35.4 35.9 36 ... | |
| $ order: int 1 2 3 4 5 6 7 8 9 10 ... | |
| $ hole : logi FALSE FALSE FALSE FALSE FALSE FALSE ... | |
| $ piece: Factor w/ 30 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ... | |
| $ group: Factor w/ 454 levels "Afghanistan.1",..: 1 1 1 1 1 1 1 1 1 1 ... | |
| $ id : chr "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ... |
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