Beluša

Trenčiansky/Púchov

Údaje MINV

Adresné body bez súradníc (10)

7  1709/
108  1998/
128  2233/
131  2237/
135  2242/
205  2331/
293  2498/
1233 M. R. Štefánika 1566/26
1369 Kpt. Nálepku 1162/162
2101  2038/

Ulice s podozrivými bodmi

Zoznam 10 ulíc s najväčšími rozdielmi medzi najväčšou a priemernou vzdialenosťou k najbližšiemu ďalšiemu adresnému bodu. Môže poslúžiť na odhalenie "ustrelenej" adresy. Takisto však môže obsahovať - predovšetkým pri uliciach s malým počtom adries - neužitočnú informáciu (falošný poplach).

Kpt. Nálepku (40.22)
Slatinská (39.08)
J. Kráľa (10.97)
Belušské Slatiny (7.14)
Rybníky (6.93)
A. Sládkoviča (5.85)
Žilinská (5.76)
Farská (5.29)
Staničná (4.90)
Trenčianska (4.11)

Údaje OSM

Možné chyby v databáze OpenStreetMap, často chýbajúce adresné tagy, ktoré sú podstatné pre proces zlúčenia dát.

Adresy mimo budov

Adresné body mimo budov (JOSM)

Adresné body v datasete MINV, ktoré nepretínajú ani nie sú v blízkosti budovy v OSM. Pomocou vrstvy Ortofotomozaika SR/Katasterportal je potrebné preveriť, či do OSM netreba zakresliť novú/chýbajúcu budovu. Príležitostne môžete naraziť aj na budovu tagovanú ako reláciu, v takých prípadoch môžte adresný bod v súbore ignorovať.

Ulice nenájdené v datasete MINV

Ulice, ktoré sa nachádzajú v údajoch OSM, no neboli nájdené v datasete MINV. Môže to tiež znamenať, že v údajoch MINV je táto ulica s mierne odlišným názvom, napr. J. Kráľa miesto Janka Kráľa. V tomto konkrétnom prípade je potrebné presunúť dlhý názov ulice do alt_name a do tagu name umiestniť názov zhodný s názvom v MINV.

Hlboká
Malinová
Podhorská
Príhlavná
Záhumenská

Nesúlad v názve ulice

Adresy, ktoré majú rovnaké súpisné a orientačné číslo v oboch datasetoch, ale obsahujú iný názov ulice.

Partizánska (osm), J. A. Komenského (minv) w58972762

Ladiace informácie

Pomocné údaje

Pôvodné hranice obce (JOSM)

Zjednodušené hranice obce (JOSM)

Budovy v OSM (pomocný súbor) (JOSM)

Overpass query - budovy a adresné body:

					( way["building"](poly:"49.052178967247464 18.37185083970412 49.049912820104836 18.375503584544436 49.05200272352834 18.386415184921603 49.04970517482342 18.387003520627257 49.04732128011255 18.38362931408465 49.03739619248642 18.39177401797129 49.03636948924893 18.394225125646866 49.02920309683915 18.394229933602098 49.02069948286331 18.40447375189811 49.018186892532235 18.401800126457392 49.01083921368557 18.402358408967704 49.00801470915203 18.397674457985463 49.00771108395378 18.38989384410493 49.00633358646564 18.39120657870273 49.00007601428484 18.385208420844638 48.99531616234487 18.388763394304327 48.98921310346844 18.382790614371345 48.98683248527888 18.378134657167738 49.004701093957195 18.362768082363637 49.00623406517436 18.36472917109203 49.00608293560437 18.354539026011196 49.007670964974764 18.353637900113466 49.008495297469366 18.35693678998169 49.00971771529061 18.35658348806303 49.009113278329686 18.35071310092003 49.010921605667534 18.346267588209415 49.014672105773634 18.35015564793152 49.01456892520125 18.345328321559943 49.01597976611828 18.346021024658942 49.01476389461216 18.335563121501504 49.02663553368442 18.32026008632831 49.02960902109225 18.31386170908276 49.034125159748626 18.31046045955796 49.04140980382114 18.300456158006583 49.045348069732256 18.304541484822447 49.04845991128696 18.296106046615364 49.049671263814595 18.29651503846694 49.05049495150872 18.293668096170183 49.04872908935792 18.292474755948945 49.052470816863654 18.28403872688873 49.05721836408331 18.29010662073826 49.06727317029283 18.295204160572798 49.06658206620756 18.299538304786314 49.06797972082302 18.30421492800316 49.071646786324635 18.30367786373427 49.07564123064906 18.30908215159797 49.08588397565571 18.31545182406509 49.09266170869576 18.349855045142487 49.09947766911454 18.364505632635513 49.103422477134906 18.38217752075575 49.101881153651945 18.382729128858763 49.10204117396865 18.388947437568333 49.09910578138039 18.396574000704412 49.09557140498127 18.39508488204047 49.09409771030302 18.395939259702974 49.093125129583676 18.388735564905733 49.088111012741074 18.377781398691972 49.080354421594656 18.366605380029387 49.080609915846196 18.364306059131607 49.07331348309919 18.350304639710853 49.069060436462664 18.353184974256163 49.06902748225309 18.34334972534117 49.06648379309756 18.34444955794039 49.0643229297001 18.352519286980588 49.06136476989829 18.353318568859123 49.05761835034931 18.363633189309496 49.05359588878132 18.367052537650725 49.05471552026263 18.369276822419994 49.052178967247464 18.37185083970412");
nwr["addr:housenumber"](poly:"49.052178967247464 18.37185083970412 49.049912820104836 18.375503584544436 49.05200272352834 18.386415184921603 49.04970517482342 18.387003520627257 49.04732128011255 18.38362931408465 49.03739619248642 18.39177401797129 49.03636948924893 18.394225125646866 49.02920309683915 18.394229933602098 49.02069948286331 18.40447375189811 49.018186892532235 18.401800126457392 49.01083921368557 18.402358408967704 49.00801470915203 18.397674457985463 49.00771108395378 18.38989384410493 49.00633358646564 18.39120657870273 49.00007601428484 18.385208420844638 48.99531616234487 18.388763394304327 48.98921310346844 18.382790614371345 48.98683248527888 18.378134657167738 49.004701093957195 18.362768082363637 49.00623406517436 18.36472917109203 49.00608293560437 18.354539026011196 49.007670964974764 18.353637900113466 49.008495297469366 18.35693678998169 49.00971771529061 18.35658348806303 49.009113278329686 18.35071310092003 49.010921605667534 18.346267588209415 49.014672105773634 18.35015564793152 49.01456892520125 18.345328321559943 49.01597976611828 18.346021024658942 49.01476389461216 18.335563121501504 49.02663553368442 18.32026008632831 49.02960902109225 18.31386170908276 49.034125159748626 18.31046045955796 49.04140980382114 18.300456158006583 49.045348069732256 18.304541484822447 49.04845991128696 18.296106046615364 49.049671263814595 18.29651503846694 49.05049495150872 18.293668096170183 49.04872908935792 18.292474755948945 49.052470816863654 18.28403872688873 49.05721836408331 18.29010662073826 49.06727317029283 18.295204160572798 49.06658206620756 18.299538304786314 49.06797972082302 18.30421492800316 49.071646786324635 18.30367786373427 49.07564123064906 18.30908215159797 49.08588397565571 18.31545182406509 49.09266170869576 18.349855045142487 49.09947766911454 18.364505632635513 49.103422477134906 18.38217752075575 49.101881153651945 18.382729128858763 49.10204117396865 18.388947437568333 49.09910578138039 18.396574000704412 49.09557140498127 18.39508488204047 49.09409771030302 18.395939259702974 49.093125129583676 18.388735564905733 49.088111012741074 18.377781398691972 49.080354421594656 18.366605380029387 49.080609915846196 18.364306059131607 49.07331348309919 18.350304639710853 49.069060436462664 18.353184974256163 49.06902748225309 18.34334972534117 49.06648379309756 18.34444955794039 49.0643229297001 18.352519286980588 49.06136476989829 18.353318568859123 49.05761835034931 18.363633189309496 49.05359588878132 18.367052537650725 49.05471552026263 18.369276822419994 49.052178967247464 18.37185083970412");
node["addr:conscriptionnumber"](poly:"49.052178967247464 18.37185083970412 49.049912820104836 18.375503584544436 49.05200272352834 18.386415184921603 49.04970517482342 18.387003520627257 49.04732128011255 18.38362931408465 49.03739619248642 18.39177401797129 49.03636948924893 18.394225125646866 49.02920309683915 18.394229933602098 49.02069948286331 18.40447375189811 49.018186892532235 18.401800126457392 49.01083921368557 18.402358408967704 49.00801470915203 18.397674457985463 49.00771108395378 18.38989384410493 49.00633358646564 18.39120657870273 49.00007601428484 18.385208420844638 48.99531616234487 18.388763394304327 48.98921310346844 18.382790614371345 48.98683248527888 18.378134657167738 49.004701093957195 18.362768082363637 49.00623406517436 18.36472917109203 49.00608293560437 18.354539026011196 49.007670964974764 18.353637900113466 49.008495297469366 18.35693678998169 49.00971771529061 18.35658348806303 49.009113278329686 18.35071310092003 49.010921605667534 18.346267588209415 49.014672105773634 18.35015564793152 49.01456892520125 18.345328321559943 49.01597976611828 18.346021024658942 49.01476389461216 18.335563121501504 49.02663553368442 18.32026008632831 49.02960902109225 18.31386170908276 49.034125159748626 18.31046045955796 49.04140980382114 18.300456158006583 49.045348069732256 18.304541484822447 49.04845991128696 18.296106046615364 49.049671263814595 18.29651503846694 49.05049495150872 18.293668096170183 49.04872908935792 18.292474755948945 49.052470816863654 18.28403872688873 49.05721836408331 18.29010662073826 49.06727317029283 18.295204160572798 49.06658206620756 18.299538304786314 49.06797972082302 18.30421492800316 49.071646786324635 18.30367786373427 49.07564123064906 18.30908215159797 49.08588397565571 18.31545182406509 49.09266170869576 18.349855045142487 49.09947766911454 18.364505632635513 49.103422477134906 18.38217752075575 49.101881153651945 18.382729128858763 49.10204117396865 18.388947437568333 49.09910578138039 18.396574000704412 49.09557140498127 18.39508488204047 49.09409771030302 18.395939259702974 49.093125129583676 18.388735564905733 49.088111012741074 18.377781398691972 49.080354421594656 18.366605380029387 49.080609915846196 18.364306059131607 49.07331348309919 18.350304639710853 49.069060436462664 18.353184974256163 49.06902748225309 18.34334972534117 49.06648379309756 18.34444955794039 49.0643229297001 18.352519286980588 49.06136476989829 18.353318568859123 49.05761835034931 18.363633189309496 49.05359588878132 18.367052537650725 49.05471552026263 18.369276822419994 49.052178967247464 18.37185083970412"); ); (._;>;); out body;

Výstup Conflatora

00:06:20 Loading profile <_io.TextIOWrapper name='/app/profile' mode='r' encoding='UTF-8'> 00:06:20 Dataset points are too similar: 5211013203 and 10519003 00:06:20 Dataset points are too similar: 5211013203 and 10465543 00:06:20 Dataset points are too similar: 5211013203 and 10465565 00:06:20 Dataset points are too similar: 5211013203 and 7102780069 00:06:20 Dataset points are too similar: 5211013203 and 7102783017 00:06:20 Found 865 duplicates in the dataset 00:06:20 Read 2463 items from the dataset 00:06:21 Downloaded 3735 objects from OSM 00:06:21 Updated 2399 OSM objects with ref:minvskaddress tag 00:06:21 Matched 45 points 00:06:21 Removed 4 unmatched duplicates 00:06:21 Adding 15 unmatched dataset points 00:06:21 Deleted 14 and retagged 0 unmatched objects from OSM 00:06:21 Done