Newer
Older
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
# DEE31
# DEE3B
# DEE37",header = TRUE) %>% as_tibble()%>% mutate_if(is.factor, as.character)
# ell ####
checked.nuts3.ell.07 <- check.nuts(str_data$info, "ELL", c(2007:2009), NUTS3, TRUE)
checked.nuts3.ell.10 <- check.nuts(str_data$info, "ELL", c(2010:2013), NUTS3, TRUE)
checked.nuts3.ell.14 <- check.nuts(str_data$info, "ELL", c(2014:2018), NUTS3, TRUE)
# version 2006 -2010 ----
# code change
# GR111 EL111
# GR112 EL112
# GR113 EL113
# GR114 EL114
# GR115 EL115
# GR121 EL121
# GR122 EL122
# GR123 EL123
# GR124 EL124
# GR125 EL125
# GR126 EL126
# GR127 EL127
# GR131 EL131
# GR132 EL132
# GR133 EL133
# GR134 EL134
# GR141 EL141
# GR142 EL142
# GR143 EL143
# GR144 EL144
# GR211 EL211
# GR212 EL212
# GR213 EL213
# GR214 EL214
# GR221 EL221
# GR222 EL222
# GR223 EL223
# GR224 EL224
# GR231 EL231
# GR232 EL232
# GR233 EL233
# GR241 EL241
# GR242 EL242
# GR243 EL243
# GR244 EL244
# GR245 EL245
# GR251 EL251
# GR252 EL252
# GR253 EL253
# GR254 EL254
# GR255 EL255
# GR300 EL300
# GR411 EL411
# GR412 EL412
# GR413 EL413
# GR421 EL421
# GR422 EL422
# GR431 EL431
# GR432 EL432
# GR433 EL433
# GR434 EL434
# GRZZZ ELZZZ
# version 2010 -2013 ----
# recoded
#............
# old new
# EL111 EL511
# EL112 EL512
# EL113 EL513
# EL114 EL514
# EL115 EL515
# EL121 EL521
# EL122 EL522
# EL123 EL523
# EL124 EL524
# EL125 EL525
# EL126 EL526
# EL127 EL527
# merge......
# old new
# EL131 EL531
# EL133 EL531
# recoded......
# EL132 EL532
# EL134 EL533
# merge........
# EL211 EL541
# EL214 EL541
# EL541 new region
# recoded...........
# EL212 EL542
# EL213 EL543
# merge ............
# EL141 EL611
# EL144 EL611
# EL611
#
# EL142 EL612
# EL143 EL613
# EL221 EL621
# EL222 EL622
# EL223 EL623
# EL224 EL624
# EL231 EL631
# EL232 EL632
# EL233 EL633
# EL241 EL641
# EL242 EL642
# EL243 EL643
# EL244 EL644
# EL245 EL645
# merge .......
# EL251 EL651
# EL252 EL651
# EL651
# recoded.......
# EL253 EL652
# merge......
# EL254 EL653
# EL255 EL653
# EL653
# split .......
# EL300 split into ...
# EL300 EL301
# EL300 EL302
# EL300 EL303
# EL300 EL304
# EL300 EL305
# EL300 EL306
# EL300 EL307
# name change ??
# EL411 EL411
# EL412 EL412
# EL421 EL421
# EL422 EL422
# ESP ####
check.nuts(str_data$info, "ESP", c(2007:2013), NUTS3, TRUE)
check.nuts(str_data$info, "ESP", c(2014:2018), NUTS3, TRUE)
# version 2003 - 2006
# ES530 split into ES531, ES532, ES533
# ES530 ES531
# ES530 ES532
# ES530 ES533
# ES701 split into
# ES701 ES704
# ES701 ES705
# ES701 ES708
# ES702 split into
# ES702 ES703
# ES702 ES706
# ES702 ES707
# ES702 ES709
# FRA ####
check.nuts(str_data$info, "FRA", c(2007:2016), NUTS3, TRUE)
check.nuts(str_data$info, "FRA", c(2017:2018), NUTS3, TRUE)
# version 2013- 2016
# recoded.....
# FR241 FRB01
# FR242 FRB02
# FR243 FRB03
# FR244 FRB04
# FR245 FRB05
# FR246 FRB06
# FR261 FRC11
# FR262 FRC12
# FR263 FRC13
# FR264 FRC14
# FR431 FRC21
# FR432 FRC22
# FR433 FRC23
# FR434 FRC24
# FR251 FRD11
# FR252 FRD12
# FR253 FRD13
# FR231 FRD21
# FR232 FRD22
# FR301 FRE11
# FR302 FRE12
# FR221 FRE21
# FR222 FRE22
# FR223 FRE23
# FR421 FRF11
# FR422 FRF12
# FR211 FRF21
# FR212 FRF22
# FR213 FRF23
# FR214 FRF24
# FR411 FRF31
# FR412 FRF32
# FR413 FRF33
# FR414 FRF34
# FR511 FRG01
# FR512 FRG02
# FR513 FRG03
# FR514 FRG04
# FR515 FRG05
# FR521 FRH01
# FR522 FRH02
# FR523 FRH03
# FR524 FRH04
# FR611 FRI11
# FR612 FRI12
# FR613 FRI13
# FR614 FRI14
# FR615 FRI15
# FR631 FRI21
# FR632 FRI22
# FR633 FRI23
# FR531 FRI31
# FR532 FRI32
# FR533 FRI33
# FR534 FRI34
# FR811 FRJ11
# FR812 FRJ12
# FR813 FRJ13
# FR814 FRJ14
# FR815 FRJ15
# FR621 FRJ21
# FR622 FRJ22
# FR623 FRJ23
# FR624 FRJ24
# FR625 FRJ25
# FR626 FRJ26
# FR627 FRJ27
# FR628 FRJ28
# FR721 FRK11
# FR722 FRK12
# FR723 FRK13
# FR724 FRK14
# FR711 FRK21
# FR712 FRK22
# FR713 FRK23
# FR714 FRK24
# FR715 FRK25
# FR716 FRK26
# FR717 FRK27
# FR718 FRK28
# FR821 FRL01
# FR822 FRL02
# FR823 FRL03
# FR824 FRL04
# FR825 FRL05
# FR826 FRL06
# FR831 FRM01
# FR832 FRM02
# FRA10 FRY10
# FRA20 FRY20
# FRA30 FRY30
# FRA40 FRY40
# FRA50 FRY50
# HUN ####
check.nuts(str_data$info, "HUN", c(2007:2016), NUTS3, TRUE) %>% filter(NUTS3 == "HU232")
check.nuts(str_data$info, "HUN", c(2017:2018), NUTS3, TRUE) %>% filter(NUTS3 == "HU213")
# version 2013 - 2016
# HU101 HU110 recoded
# HU102 HU120
# IRE ####
check.nuts(str_data$info, "IRE", c(2007:2016), NUTS3, TRUE)
check.nuts(str_data$info, "IRE", c(2017:2018), NUTS3, TRUE)
# version 13 -16
# old new
# IE011 IE041 boundary shift
# IE013 IE042 recoded
# IE023 IE051 boundary shift
# IE024 IE052 boundary shift
# IE025 IE053 recoded
# IE021 IE061 recoded
# IE022 IE062 boundary shift
# IE012 IE063 recoded
# FR241 FRB01 recoded
# ITA ####
check.nuts(str_data$info, "ITA", c(2007:2009), NUTS3, TRUE) %>% filter(NUTS3 == "ITG25")
check.nuts(str_data$info, "ITA", c(2010:2018), NUTS3, TRUE)
# version 2006-2010
# old new
# ITD10 ITH10
# ITD20 ITH20
# ITD31 ITH31
# ITD32 ITH32
# ITD33 ITH33
# ITD34 ITH34
# ITD35 ITH35
# ITD36 ITH36
# ITD37 ITH37
# ITD41 ITH41
# ITD42 ITH42
# ITD43 ITH43
# ITD44 ITH44
# ITD51 ITH51
# ITD52 ITH52
# ITD53 ITH53
# ITD54 ITH54
# ITD55 ITH55
# ITD56 ITH56
# ITD57 ITH57
# ITD58 ITH58
# ITE11 ITI11
# ITE12 ITI12
# ITE13 ITI13
# ITE14 ITI14
# ITE15 ITI15
# ITE16 ITI16
# ITE17 ITI17
# ITE18 ITI18
# ITE19 ITI19
# ITE1A ITI1A
# ITE21 ITI21
# ITE22 ITI22
# ITE32 ITI32
# ITE33 ITI33
# ITE41 ITI41
# ITE42 ITI42
# ITE43 ITI43
# ITE44 ITI44
# ITE45 ITI45
#............
# ITC45 split
# ITC45 ITC4C
# ITC45 ITC4D
# ITD59 ITH59 boundary shift
# ITE31 ITI31 boundary shift
# ITE34 split
# ITE34 ITI34
# ITE34 ITI35
# ITF41 discontinued
# ITF42 discontinued
# ITF46 new region
# ITF47 new region
# ITF48 new region
# LTU ####
check.nuts(str_data$info, "LTU", c(2007:2016), NUTS3, TRUE)
check.nuts(str_data$info, "LTU", c(2017:2018), NUTS3, TRUE)
# version 13- 16
# recoded
# LT00A LT011
# LT001 LT021
# LT002 LT022
# LT003 LT023
# LT004 LT024
# LT005 LT025
# LT006 LT026
# LT007 LT027
# LT008 LT028
# LT009 LT029
# LVA ####
check.nuts(str_data$info, "LVA", c(2007:2008), NUTS3, TRUE)
check.nuts(str_data$info, "LVA", c(2009:2018), NUTS3, TRUE)
# LVOO3+LV006=LV00??
str_data$crops %>%
filter(NUTS3 %in% c("LV00","LV003","LV006"),
COUNTRY == "LVA", CROP == "SWHE") %>%
count(sum(VALUE))
str_data$crops %>%
filter(NUTS2=="LV00",COUNTRY == "LVA",
CROP == "SWHE", NUTS3 =="LV00") %>%
count(sum(VALUE))
# NED ####
check.nuts(str_data$info, "NED", c(2004:2008), NUTS3, TRUE) %>% filter(NUTS3 %in% c("NL222", "NL223", "NL311"))
check.nuts(str_data$info, "NED", c(2009:2010), NUTS3, TRUE) %>% filter(NUTS3 == "NL331")
check.nuts(str_data$info, "NED", c(2010:2013), NUTS3, TRUE) %>% filter(NUTS3 == "NL33A")
check.nuts(str_data$info, "NED", c(2017:2018), NUTS3, TRUE) %>% filter(NUTS3 %in% c( "NL33A", "NL33B"))
# version 2003-2006
#........................
# old new
# NL222 '' Boundary shift
# NL223 '' Boundary shift
# version 2006-2010
# NL331 NL337 Boundary shift, new region
# NL334 NL338 Boundary shift
# NL335 NL339 Boundary shift
# NL336 NL33A Boundary shift
# version 2010- 2013
#........................
# nochange
# version 2013 - 2016
#........................
# NL121 NL124 Boundary shift, new region
# NL122 NL125 ..
# NL123 NL126 ..
# NL322 NL328 ..
# NL326 NL329 ..
# NL338 NL33B ..
# NL339 NL33C ..
# POL ####
library(readxl)
pol_nutsconverter_2006 <- read_excel("D:/data/fadn/lieferung_20210414/yang/fadn_work_space/plots/fadn_nuts3_rules/pol/pol_nuts3_2006.xlsx")
# version 2006: 57 regions
pol_nutsconverter_2010 <- read_excel("D:/data/fadn/lieferung_20210414/yang/fadn_work_space/plots/fadn_nuts3_rules/pol/pol_nuts3_2010.xlsx")
# version 2010: 57 regions
pol_nutsconverter_2013 <- read_excel("D:/data/fadn/lieferung_20210414/yang/fadn_work_space/plots/fadn_nuts3_rules/pol/pol_nuts3_2013.xlsx")
# version 2013: 62 regions
check.nuts(str_data$info, "POL", c(2007:2013), NUTS3, TRUE) %>% filter(NUTS3 %in% c( "PL121"))
check.nuts(str_data$info, "POL", c(2014:2016), NUTS3, TRUE) %>% filter(NUTS3 %in% c( "PL12A"))
check.nuts(str_data$info, "POL", c(2017:2018), NUTS3, TRUE) %>% distinct(NUTS3)
# version 2003 -2006 ----
# PL111 Terminated
# PL112 Terminated
# PL124 Terminated
# PL126 Terminated
# PL211 Terminated
# PL212 Terminated
# PL226 Split
# PL226 PL228 new region
# PL226 PL229 new region
# PL226 PL22A new region
# PL226 PL22B new region
# PL226 PL22C new region
# PL313 Split
# PL313 PL315 new region
# PL313 PL314 new region
# PL321 Terminated
# PL322 Terminated
# PL330 Split
# PL330 PL331 new region
# PL330 PL332 new region
# PL341 Terminated
# PL342 Terminated
# PL412 Terminated
# PL413 Terminated
# PL421 Split
# PL421 PL423 new region
# PL421 PL424 new region
# PL421 PL425 new region
# PL511 Terminated
# PL512 Terminated
# PL513 Terminated
# PL520 Split
# PL520 PL521 new region
# PL520 PL522 new region
# PL611 Terminated
# PL612 Terminated
# PL632 Split
# PL632 PL634 new region
# PL632 PL635 new region
# version 2006- 2010----
# no change
# version 2010- 2013 ----
# old new
# PL121 ''
# PL122 ''
# '' PL12B
# '' PL12C
# '' PL12D
# '' PL12E
# PL129 PL129
# PL12A PL12A
# PL215 ''
# PL216 ''
# '' PL218
# '' PL219
# '' PL21A
# PL422 ''
# PL423 ''
# PL425 ''
# '' PL426
# '' PL427
# '' PL428
# PL521 ''
# PL522 ''
# '' PL523
# '' PL524
# PL614 ''
# PL615 ''
# '' PL616
# '' PL617
# '' PL618
# '' PL619
# PL631 ''
# PL635 ''
# '' PL636
# '' PL637
# '' PL638
# version 2013-2016: from2017-2018 ----
# recoded.....
# old new
# PL113 PL711
# PL114 PL712
# PL115 PL713
# PL116 PL714
# PL117 PL715
# PL331 PL721
# PL332 PL722
# PL311 PL811
# PL312 PL812
# PL314 PL814
# PL315 PL815
# PL323 PL821
# PL324 PL822
# PL325 PL823
# PL326 PL824
# PL343 PL841
# PL344 PL842
# PL345 PL843
# PL127 PL911
# PL129 PL912 boundary shift
# PL12A PL913 boundary shift lost new PL926
# PL128 PL921
# PL12B PL922
# PL12C PL923
# PL12D PL924
# PL12E PL925
# PL926 new region
# por ####
check.nuts(str_data$info, "POR", c(2007:2014), NUTS3, TRUE)
check.nuts(str_data$info, "POR", c(2015:2018), NUTS3, TRUE)
# version 2010-2013 ####
# old new
# PT111 PT111 Name change ''
# PT113 '' 'boundary shift' ''
# PT114 '' 'boundary shift' ''
# PT115 '' 'boundary shift' ''
# PT116 '' 'boundary shift' ''
# PT117 '' 'boundary shift' ''
# PT118 '' 'boundary shift' ''
# '' PT119 'new region' 'PT119=parts of PT113+parts of PT115'
# '' PT11A 'new region' 'PT11A=PT116+parts of PTPT114+parts of PT115'
# '' PT11B 'new region' 'PT11B=parts of PT115+parts of PT118'
# '' PT11C 'new region' 'PT11C=parts of PT115'
# '' PT11D 'new region' 'PT11D=parts of PT117'
# '' PT11E 'new region' 'PT11E=parts of PT117+parts of PT118'
# PT161 '' 'boundary shift' ''
# PT162 '' 'boundary shift' ''
# PT163 '' 'boundary shift' ''
# PT164 '' 'boundary shift' ''
# PT165 '' 'boundary shift' ''
# PT166 '' 'boundary shift' ''
# PT169 '' 'boundary shift' ''
# PT16C '' 'boundary shift' ''
# '' PT16D 'new region' 'PT16D=parts of PT161'
# '' PT16E 'new region' 'PT16E=parts of PT161+PT162+parts of PT164'
# '' PT16F 'new region' 'PT16F=PT163+parts of PT164'
# '' PT16G 'new region' 'PT16G=parts of PT165'
# '' PT16H 'new region' 'PT16H=parts of PT166+PT169'
# '' PT16I 'new region' 'PT16I=PT16C+parts of PT166'
# PT167 PT16J Merged ''
# PT168 PT16J Merged ''
# PT16A PT16J Merged ''
# '' PT16J 'new region' 'PT16J = PT167 + PT168 + PT16A'
# PT17 PT17 Name change ''
# PT171 PT170 Merged ''
# PT172 PT170 Merged ''
# '' PT170 'new region' 'PT170 = PT171 + PT172'
# PT182 '' 'boundary shift' ''
# PT183 '' 'boundary shift' ''
# '' PT186 'new region' 'PT186=parts of PT182+parts of PT183'
# '' PT187 'new region' 'PT187=parts of PT182+parts of PT183'
# SUO ####
check.nuts(str_data$info, "SUO", c(2007:2009), NUTS3, TRUE)
check.nuts(str_data$info, "SUO", c(2010:2013), NUTS3, TRUE)
check.nuts(str_data$info, "SUO", c(2014:2016), NUTS3, TRUE)
# version 2003- 2006 ----
# old new
# FI191 FI196 'boundary shift, new region'
# FI192 FI197 'boundary shift, new region'
# version 2006 - 2010 ----
#recoded.....
# FI131 FI1D1
# FI132 FI1D2
# FI133 FI1D3
# FI134 FI1D4
# FI183 FI1C1
# FI184 FI1C2
# FI185 FI1C3
# FI186 FI1C4
# FI187 FI1C5
# FI1A1 FI1D5
# FI1A2 FI1D6
# FI1A3 FI1D7
# merge......
# FI181 FI1B1
# FI182 FI1B1
# SVE ####
check.nuts(str_data$info, "SVE", c(2007), NUTS3, TRUE) %>% filter(NUTS3 %in% c("SE01","SE02", "SE025"))
check.nuts(str_data$info, "SVE", c(2008:2018), NUTS3, TRUE)%>% filter(NUTS3 %in% as.character(sve_nuts3$NUTS3_new) )
# version 2003-2006
# SE010 SE110 recoded
# SE021 '' boundary shift
# SE022 SE122
# SE023 SE123
# SE024 SE124
# SE025 '' boundary shift
# SE091 SE211
# SE092 SE212
# SE093 SE213
# SE094 SE214
# SE041 SE221
# SE044 SE224
# SE0A1 SE231
# SE0A2 SE232
# SE061 SE311
# SE062 SE312
# SE063 SE313
# SE071 SE321
# SE072 SE322
# SE081 SE331
# SE082 SE332
# SVN ####
check.nuts(str_data$info, "SVN", c(2007,2008), NUTS3, TRUE)
check.nuts(str_data$info, "SVN", c(2009:2013), NUTS3, TRUE)
# version 2003-2006
# code change
# SI001 SI011
# SI002 SI012
# SI003 SI013
# SI004 SI014
# SI005 SI015
# SI006 SI016
# SI00D SI017
# SI00A SI018
# SI00E SI021
# SI009 SI022
# SI00B SI023
# SI00C SI024
# version 2010-2013
# SI011 SI031
# SI012 SI032
# SI013 SI033
# SI014 SI034 boundary shift SI034=parts of SI014+parts of SI016
# SI015 SI035 boundary shift SI035=SI015+parts of SI021
# SI016 SI036 boundary shift SI036=parts of SI014+parts of SI016
# SI017 SI037
# SI018 SI038
# SI021 SI041 boundary shift SI041=parts of SI021
# SI022 SI042
# SI023 SI043
# SI024 SI044
# UKI ####
check.nuts(str_data$info, "UKI", c(2007:2013), NUTS3, TRUE)
check.nuts(str_data$info, "UKI", c(2014:2016), NUTS3, TRUE)
check.nuts(str_data$info, "UKI", c(2017:2018), NUTS3, TRUE)
# verison 2006 - 2010
#....................................
# UKD52 UKD72 recoded UKD72 = UKD52
# UKD53 UKD73 recoded UKD73 = UKD53
# UKD54 UKD74 recoded UKD74 = UKD54
# UKD21 Boundary shift
# UKD51 Boundary shift
# UKD61 new region
# UKD71 new region
# UKD22 Split
# UKD22 UKD62 new region UKD62 + UKD63 = UKD22
# UKD22 UKD63 new region UKD62 + UKD63 = UKD22
# UKE43 Split
# UKE43 UKE44 new region UKE44 + UKE45 = UKE43
# UKE43 UKE45 new region UKE44 + UKE45 = UKE43
# UKF23 Split
# UKF23 UKF24 new region UKF24 + UKF25 = UKF23
# UKF23 UKF25 new region UKF24 + UKF25 = UKF23
# UKG34 Split
# UKG34 UKG36 new region UKG36 + UKG37 = UKG34
# UKG34 UKG37 new region UKG36 + UKG37 = UKG34
# UKG35 Split
# UKG35 UKG38 new region UKG38 + UKG39 = UKG35
# UKG35 UKG39 new region UKG38 + UKG39 = UKG35
# UKH22 Split
# UKH22 UKH24 new region UKH24 + UKH25 = UKH22
# UKH22 UKH25 new region UKH24 + UKH25 = UKH22
# version 2010-2013
# UKD31 Split
# UKD31 UKD33 new region UKD33 + UKD34 + UKD35 = UKD31
# UKD31 UKD34 new region UKD33 + UKD34 + UKD35 = UKD31
# UKD31 UKD35 new region UKD33 + UKD34 + UKD35 = UKD31
# UKD32 Split
# UKD32 UKD36 new region UKD36 + UKD37 = UKD32
# UKD32 UKD37 new region UKD36 + UKD37 = UKD32
# UKD43 Split
# UKD43 UKD44 new region UKD44 + UKD45 + UKD46 + UKD47 = UKD43
# UKD43 UKD45 new region UKD44 + UKD45 + UKD46 + UKD47 = UKD43
# UKD43 UKD46 new region UKD44 + UKD45 + UKD46 + UKD47 = UKD43
# UKD43 UKD47 new region UKD44 + UKD45 + UKD46 + UKD47 = UKD43
# UKH13 Split
# UKH13 UKH15 new region UKH15 + UKH16 + UKH17 = UKH13
# UKH13 UKH16 new region UKH15 + UKH16 + UKH17 = UKH13
# UKH13 UKH17 new region UKH15 + UKH16 + UKH17 = UKH13
# UKH33 Split
# UKH33 UKH34 new region UKH34 + UKH35 + UKH36 + UKH37 = UKH33
# UKH33 UKH35 new region UKH34 + UKH35 + UKH36 + UKH37 = UKH33
# UKH33 UKH36 new region UKH34 + UKH35 + UKH36 + UKH37 = UKH33
# UKH33 UKH37 new region UKH34 + UKH35 + UKH36 + UKH37 = UKH33
# UKI11 Split
# UKI11 UKI31 new region UKI31 + UKI32 + UKI33 + UKI34 = UKI11
# UKI11 UKI32 new region UKI31 + UKI32 + UKI33 + UKI34 = UKI11
# UKI11 UKI33 new region UKI31 + UKI32 + UKI33 + UKI34 = UKI11
# UKI11 UKI34 new region UKI31 + UKI32 + UKI33 + UKI34 = UKI11
# UKI12 Split
# UKI12 UKI41 new region UKI41 + UKI42 + UKI43 + UKI44 + UKI45= UKI12
# UKI12 UKI42 new region UKI41 + UKI42 + UKI43 + UKI44 + UKI45= UKI12
# UKI12 UKI43 new region UKI41 + UKI42 + UKI43 + UKI44 + UKI45= UKI12
# UKI12 UKI44 new region UKI41 + UKI42 + UKI43 + UKI44 + UKI45= UKI12
# UKI12 UKI45 new region UKI41 + UKI42 + UKI43 + UKI44 + UKI45= UKI12
# UKI21 Split
# UKI21 UKI51 new region UKI51 + UKI52 + UKI53 + UKI54 = UKI21
# UKI21 UKI52 new region UKI51 + UKI52 + UKI53 + UKI54 = UKI21
# UKI21 UKI53 new region UKI51 + UKI52 + UKI53 + UKI54 = UKI21
# UKI21 UKI54 new region UKI51 + UKI52 + UKI53 + UKI54 = UKI21
# UKI22 Split
# UKI22 UKI61 new region UKI61 + UKI62 + UKI63 = UKI22
# UKI22 UKI62 new region UKI61 + UKI62 + UKI63 = UKI22
# UKI22 UKI63 new region UKI61 + UKI62 + UKI63 = UKI22
# UKI23 Split
# UKI23 UKI71 new region UKI71 + UKI72 + UKI73 + UKI74 + UKI75= UKI23
# UKI23 UKI72 new region UKI71 + UKI72 + UKI73 + UKI74 + UKI75= UKI23
# UKI23 UKI73 new region UKI71 + UKI72 + UKI73 + UKI74 + UKI75= UKI23
# UKI23 UKI74 new region UKI71 + UKI72 + UKI73 + UKI74 + UKI75= UKI23
# UKI23 UKI75 new region UKI71 + UKI72 + UKI73 + UKI74 + UKI75= UKI23
# UKJ23 Split
# UKJ23 UKJ25 new region UKJ25 + UKJ26 = UKJ23
# UKJ23 UKJ26 new region UKJ25 + UKJ26 = UKJ23
# UKJ24 Split
# UKJ24 UKJ27 new region UKJ27 + UKJ28 = UKJ24
# UKJ24 UKJ28 new region UKJ27 + UKJ28 = UKJ24
# UKJ33 Split
# UKJ33 UKJ35 new region UKJ35 + UKJ36 + UKJ37 = UKJ33
# UKJ33 UKJ36 new region UKJ35 + UKJ36 + UKJ37 = UKJ33
# UKJ33 UKJ37 new region UKJ35 + UKJ36 + UKJ37 = UKJ33
# UKJ42 Split
# UKJ42 UKJ43 new region UKJ43 + UKJ44 + UKJ45 + UKJ46 = UKJ42
# UKJ42 UKJ44 new region UKJ43 + UKJ44 + UKJ45 + UKJ46 = UKJ42
# UKJ42 UKJ45 new region UKJ43 + UKJ44 + UKJ45 + UKJ46 = UKJ42
# UKJ42 UKJ46 new region UKJ43 + UKJ44 + UKJ45 + UKJ46 = UKJ42
# version 2013 -2016
#....................................
# UKM21 UKM71
# UKM22 UKM72
# UKM23 UKM73
# UKM25 UKM75
# UKM26 UKM76
# UKM27 UKM77
# UKM28 UKM78
# UKM31 UKM81
# UKM34 UKM82
# UKM35 UKM83
# UKM36 UKM84
# UKM24 UKM91
# UKM32 UKM92
# UKM33 UKM93
# UKM37 UKM94
# UKM38 UKM95
# UKN01 UKN06
# UKN02 discontinued
# UKN03 discontinued
# UKN04 discontinued
# UKN05 discontinued
# UKN07 new region
# UKN08 new region
# UKN09 new region
# UKN10 new region
# UKN11 new region
# UKN12 new region
# UKN13 new region
# UKN14 new region
# UKN15 new region
# UKN16 new region
# version 2016-2021
#....................................
# UKK21 UKK24
# UKK22 UKK25
# UKN10 UKN0A
# UKN11 UKN0B
# UKN12 UKN0C
# UKN13 UKN0D
# UKN14 UKN0E
# UKN15 UKN0F
# UKN16 UKN0G