tools.PAINTMAPS.comWete (Pemba North) Map Cropping Samples
Wete (Pemba North) Map Cropping Samples-1
Wete (Pemba North) Map Cropping Samples-2
Download outline map of Wete (geojson format) : Wete.geojson (**)
Download polygon array of Wete map for "Google Maps" : Wete.txt
Bounding Box for Wete Map : ( -5.208608 , 39.630091 , -4.974784 , 39.872911 )
Wikipedia ID for Wete : Q7990058
Wikipedia SPARQL Query for Wete (population,elevation,area,lat,long, postal code,licence plate) :
Run this SPARQL Query on Wikidata Page (Click RUN button on the opened page!)
Run this Query with SPARQL API
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Wete)
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Wete
Create Wete neighborhoods and villages map.
Download polygon array of Wete map for "Google Maps" : Wete.txt
Bounding Box for Wete Map : ( -5.208608 , 39.630091 , -4.974784 , 39.872911 )
Wikipedia ID for Wete : Q7990058
Wikipedia SPARQL Query for Wete (population,elevation,area,lat,long, postal code,licence plate) :
SELECT ?population ?elevation ?area ?latitude ?longitude ?postal_code ?license_plate
WHERE {
OPTIONAL { wd:Q7990058 wdt:P1082 ?population. }
OPTIONAL { wd:Q7990058 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q7990058 wdt:P2046 ?area. }
OPTIONAL { wd:Q7990058 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q7990058 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q7990058 p:P625 ?coordinate.
?coordinate psv:P625 ?coordinate_node.
?coordinate_node wikibase:geoLatitude ?latitude.
?coordinate_node wikibase:geoLongitude ?longitude.
}
}
WHERE {
OPTIONAL { wd:Q7990058 wdt:P1082 ?population. }
OPTIONAL { wd:Q7990058 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q7990058 wdt:P2046 ?area. }
OPTIONAL { wd:Q7990058 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q7990058 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q7990058 p:P625 ?coordinate.
?coordinate psv:P625 ?coordinate_node.
?coordinate_node wikibase:geoLatitude ?latitude.
?coordinate_node wikibase:geoLongitude ?longitude.
}
}
Run this SPARQL Query on Wikidata Page (Click RUN button on the opened page!)
Run this Query with SPARQL API
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-5.208608, 39.630091, -4.974784, 39.872911);
);
out geom;
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-5.208608, 39.630091, -4.974784, 39.872911);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Wete)
[out:json];
(
rel["name"="Wete"][type=boundary];
rel["name:en"="Wete"][type=boundary];
);
out geom;
(
rel["name"="Wete"][type=boundary];
rel["name:en"="Wete"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Wete
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Bagamoyo | -5.100000 , 39.750000 |
| Bandani | -5.133330 , 39.800000 |
| Baoni | -5.116670 , 39.733330 |
| Bomani | -5.116670 , 39.800000 |
| Bomani | -5.150000 , 39.750000 |
| Bondeni | -4.983330 , 39.700000 |
| Bopwe | -5.050000 , 39.716670 |
| Bugudadi | -5.050000 , 39.716670 |
| Buyuni | -5.150000 , 39.800000 |
| Chabwe | -5.133330 , 39.816670 |
| Chakopi | -5.083330 , 39.750000 |
| Chanjani | -5.100000 , 39.700000 |
| Chanjani | -5.100000 , 39.800000 |
| Chanjani | -5.033330 , 39.700000 |
| Chanje | -5.016670 , 39.700000 |
| Chapaka | -5.100000 , 39.700000 |
| Checheli | -5.150000 , 39.750000 |
| Chekea | -5.083330 , 39.700000 |
| Chuini | -5.150000 , 39.750000 |
| Chumbuni | -5.050000 , 39.650000 |
| Chwale | -5.100000 , 39.816670 |
| Daya | -5.116670 , 39.716670 |
| Dodo | -5.183330 , 39.800000 |
| Dutani | -5.066670 , 39.800000 |
| Fimbo | -5.133330 , 39.733330 |
| Finga | -5.000000 , 39.700000 |
| Fokonyani | -5.116670 , 39.800000 |
| Fueni | -5.066670 , 39.733330 |
| Funika | -5.133330 , 39.733330 |
| Gando | -4.983330 , 39.700000 |
| Gasi | -5.116670 , 39.783330 |
| Gawani | -5.200000 , 39.800000 |
| Gombani | -5.116670 , 39.800000 |
| Gombani | -5.150000 , 39.733330 |
| Gombeni | -5.083330 , 39.783330 |
| Gongo | -5.016670 , 39.716670 |
| Gongoni | -5.166670 , 39.800000 |
| Hindi | -5.133330 , 39.800000 |
| Jagoma | -5.116670 , 39.783330 |
| Jambaji | -5.083330 , 39.700000 |
| Jojwe | -5.133330 , 39.800000 |
| Jumbakongwe | -5.100000 , 39.800000 |
| Junguni | -5.000000 , 39.700000 |
| Kajitengi | -5.133330 , 39.700000 |
| Kangagani | -5.166670 , 39.833330 |
| Kango | -5.150000 , 39.816670 |
| Kelle | -5.083330 , 39.733330 |
| Kiambokikuu | -5.150000 , 39.816670 |
| Kianga | -5.150000 , 39.816670 |
| Kibokonge | -5.150000 , 39.783330 |
| Kichakani | -5.116670 , 39.800000 |
| Kichangamwata | -5.116670 , 39.783330 |
| Kichangani | -5.150000 , 39.733330 |
| Kichoni | -5.183330 , 39.800000 |
| Kidichi | -5.133330 , 39.716670 |
| Kidimui | -5.000000 , 39.700000 |
| Kidutani | -5.100000 , 39.816670 |
| Kidutani | -5.150000 , 39.783330 |
| Kidutani | -5.166670 , 39.800000 |
| Kigombani | -5.166670 , 39.800000 |
| Kigongoni | -5.083330 , 39.716670 |
| Kigongoni | -5.116670 , 39.816670 |
| Kijichame | -5.116670 , 39.766670 |
| Kijipu | -5.050000 , 39.783330 |
| Kijuki | -5.050000 , 39.766670 |
| Kikalacha | -5.033330 , 39.716670 |
| Kikungeni | -5.116670 , 39.716670 |
| Kikunjuni | -5.166670 , 39.800000 |
| Kilimandege | -5.050000 , 39.716670 |
| Kilimni | -5.083330 , 39.783330 |
| Kimango | -5.050000 , 39.816670 |
| Kinyasini | -5.116670 , 39.750000 |
| Kinyekani | -5.116670 , 39.783330 |
| Kipangani | -5.050000 , 39.733330 |
| Kipange | -5.183330 , 39.816670 |
| Kiroeka | -5.050000 , 39.733330 |
| Kirwa | -5.016670 , 39.716670 |
| Kisaoni | -5.050000 , 39.716670 |
| Kisimanyando | -5.183330 , 39.816670 |
| Kisitu | -5.066670 , 39.816670 |
| Kisiwani | -5.150000 , 39.750000 |
| Kitambuuni | -5.150000 , 39.733330 |
| Kitambuuni | -5.100000 , 39.750000 |
| Kitango | -5.133330 , 39.783330 |
| Kitundwini | -5.100000 , 39.700000 |
| Kitutia | -5.050000 , 39.716670 |
| Kiungani | -5.150000 , 39.750000 |
| Kiuyu | -5.150000 , 39.833330 |
| Kivumoni | -5.033330 , 39.683330 |
| Kiwaleni | -5.150000 , 39.750000 |
| Kiwani | -5.100000 , 39.816670 |
| Kiwavu | -5.133330 , 39.700000 |
| Kizimbani | -5.050000 , 39.733330 |
| Kizimbani | -5.116670 , 39.733330 |
| Kiziwamaji | -5.183330 , 39.816670 |
| Kizombwa | -5.166670 , 39.816670 |
| Kombani | -5.116670 , 39.800000 |
| Kungani | -5.116670 , 39.766670 |
| Kunguni | -5.050000 , 39.650000 |
| Kwabado | -5.050000 , 39.783330 |
| Kwachui | -5.183330 , 39.800000 |
| Kwajoto | -5.183330 , 39.800000 |
| Kwale | -5.050000 , 39.750000 |
| Kyoni | -5.050000 , 39.816670 |
| Lafuu | -5.066670 , 39.733330 |
| Letetungu | -5.166670 , 39.750000 |
| Limani | -5.100000 , 39.733330 |
| Limbani | -5.066670 , 39.733330 |
| Magogoni | -5.100000 , 39.716670 |
| Magogoni | -4.983330 , 39.700000 |
| Magombani | -5.100000 , 39.783330 |
| Makaoni | -5.133330 , 39.733330 |
| Makaoni | -5.050000 , 39.700000 |
| Makongeni | -5.116670 , 39.766670 |
| Makongeni | -5.150000 , 39.716670 |
| Mamoja | -5.100000 , 39.766670 |
| Mashugu | -5.150000 , 39.783330 |
| Masikati | -5.133330 , 39.750000 |
| Masota | -5.083330 , 39.816670 |
| Matetewa | -5.150000 , 39.766670 |
| Matumbwe | -5.200000 , 39.800000 |
| Matuuni | -5.100000 , 39.750000 |
| Maziwani | -5.083330 , 39.800000 |
| Mbuyuni | -5.183330 , 39.816670 |
| Mbuyuni | -5.116670 , 39.750000 |
| Mbuzini | -5.150000 , 39.716670 |
| Mchangamdogo | -5.116670 , 39.800000 |
| Mchanganenda | -5.100000 , 39.716670 |
| Mchangani | -5.183330 , 39.816670 |
| Mchangani | -5.166670 , 39.750000 |
| Mchangani | -5.133330 , 39.733330 |
| Mchangani | -5.133330 , 39.800000 |
| Mchangani | -5.183330 , 39.800000 |
| Mchangani | -5.116670 , 39.816670 |
| Mchangani | -5.133330 , 39.766670 |
| Mchochani | -5.150000 , 39.766670 |
| Mduuni | -4.983330 , 39.683330 |
| Mgogo | -5.150000 , 39.716670 |
| Mgogoni | -5.150000 , 39.766670 |
| Mgogoni | -5.100000 , 39.700000 |
| Mgojeni | -5.200000 , 39.800000 |
| Mgoli | -5.116670 , 39.750000 |
| Mgoli | -5.100000 , 39.716670 |
| Miburani | -5.100000 , 39.783330 |
| Miburani | -5.066670 , 39.800000 |
| Michenzani | -5.066670 , 39.800000 |
| Michikichini | -5.016670 , 39.716670 |
| Mihogoni | -5.083330 , 39.783330 |
| Mikarofuuni | -5.000000 , 39.716670 |
| Mikidadi | -5.066670 , 39.766670 |
| Mikindani | -5.116670 , 39.783330 |
| Mikindani | -5.066670 , 39.750000 |
| Minyehyeni | -5.050000 , 39.716670 |
| Mipopo | -5.050000 , 39.650000 |
| Mipoponi | -5.050000 , 39.750000 |
| Mitambwini | -5.083330 , 39.733330 |
| Mitondoni | -5.133330 , 39.783330 |
| Miwaleni | -5.100000 , 39.766670 |
| Miwani | -5.133330 , 39.766670 |
| Mji-wa-geni | -5.083330 , 39.750000 |
| Mjimkuu | -5.083330 , 39.800000 |
| Mkadini | -5.183330 , 39.816670 |
| Mkanjuni | -5.033330 , 39.716670 |
| Mkanjuni | -5.150000 , 39.783330 |
| Mkanyageni | -5.100000 , 39.750000 |
| Mkindani | -5.116670 , 39.750000 |
| Mkote | -5.016670 , 39.716670 |
| Mkwaju | -5.050000 , 39.816670 |
| Mkwajuni | -5.116670 , 39.716670 |
| Mlima Kiwani | -5.133330 , 39.716670 |
| Mlindo | -5.050000 , 39.783330 |
| Mnalani | -5.133330 , 39.733330 |
| Mnazimmoja | -5.033330 , 39.700000 |
| Mpakanjia | -5.100000 , 39.700000 |
| Mpigangoma | -5.050000 , 39.650000 |
| Mpona | -5.050000 , 39.750000 |
| Msalani | -5.166670 , 39.750000 |
| Msalani | -5.133330 , 39.800000 |
| Msalani | -5.133330 , 39.766670 |
| Msikimwe | -5.150000 , 39.783330 |
| Msumbiji | -5.133330 , 39.700000 |
| Mtandashi | -5.133330 , 39.766670 |
| Mtekofi | -5.133330 , 39.700000 |
| Mtemani | -5.050000 , 39.733330 |
| Mtemani | -5.133330 , 39.750000 |
| Mtemani | -5.100000 , 39.783330 |
| Mtemani | -5.116670 , 39.750000 |
| Mtemani | -5.183330 , 39.816670 |
| Mtemani | -5.150000 , 39.783330 |
| Mtimkuu | -5.066670 , 39.783330 |
| Mtomkuu | -5.133330 , 39.766670 |
| Mvimbe | -5.066670 , 39.783330 |
| Mvumoni | -5.183330 , 39.833330 |
| Mwaleni | -5.166670 , 39.800000 |
| Mwane | -5.100000 , 39.800000 |
| Mwembeni | -4.983330 , 39.700000 |
| Mwembeni | -5.133330 , 39.750000 |
| Mweneza | -5.116670 , 39.800000 |
| Mwine | -5.066670 , 39.783330 |
| Mzambarauni | -5.083330 , 39.766670 |
| Mzingani | -5.116670 , 39.716670 |
| Nafasitele | -5.050000 , 39.783330 |
| Namunga | -5.150000 , 39.783330 |
| Ndagoni | -5.116670 , 39.800000 |
| Ndovu | -5.066670 , 39.733330 |
| Nyali | -5.083330 , 39.716670 |
| Nyanjale | -5.150000 , 39.783330 |
| Ole | -5.183330 , 39.816670 |
| Pandani | -5.050000 , 39.766670 |
| Pangashi | -5.116670 , 39.783330 |
| Pangeni | -5.100000 , 39.766670 |
| Pasi | -5.083330 , 39.716670 |
| Patini | -5.100000 , 39.766670 |
| Patungu | -5.116670 , 39.733330 |
| Pemba Unguja | -5.150000 , 39.766670 |
| Pigogoo | -5.116670 , 39.766670 |
| Piki | -5.116670 , 39.766670 |
| Rango | -5.066670 , 39.800000 |
| Rasini | -5.033330 , 39.700000 |
| Sanaa | -5.133330 , 39.783330 |
| Shamiani | -5.183330 , 39.816670 |
| Shanga | -5.183330 , 39.816670 |
| Shangafu | -5.133330 , 39.783330 |
| Shea | -5.183330 , 39.800000 |
| Shenejuu | -5.133330 , 39.800000 |
| Shengejuu | -5.100000 , 39.750000 |
| Shengejuu | -5.066670 , 39.816670 |
| Shirikani | -5.100000 , 39.800000 |
| Shoshani | -5.033330 , 39.700000 |
| Silasi | -5.116670 , 39.750000 |
| Sinawe | -4.983330 , 39.700000 |
| Sitani | -5.133330 , 39.816670 |
| Stambuli | -5.050000 , 39.716670 |
| Stambuli | -5.150000 , 39.766670 |
| Sumbuka | -5.166670 , 39.800000 |
| Takao | -5.100000 , 39.766670 |
| Tandavili | -5.100000 , 39.766670 |
| Tele | -5.116670 , 39.800000 |
| Tondoni | -5.100000 , 39.783330 |
| Tondoni | -5.116670 , 39.783330 |
| Tondoni | -5.150000 , 39.716670 |
| Tondoni | -5.150000 , 39.800000 |
| Tondooni | -5.066670 , 39.766670 |
| Tuliani | -5.000000 , 39.700000 |
| Tunda | -5.133330 , 39.783330 |
| Tundwa | -5.133330 , 39.766670 |
| Tungamaa | -5.066670 , 39.750000 |
| Ukando | -5.150000 , 39.783330 |
| Ukutani | -5.016670 , 39.700000 |
| Ukutani | -5.083330 , 39.766670 |
| Urangi | -5.166670 , 39.716670 |
| Uribe | -5.166670 , 39.800000 |
| Uta wa Limani | -5.100000 , 39.733330 |
| Utaani | -4.983330 , 39.700000 |
| Utaani | -5.133330 , 39.716670 |
| Utaani | -5.066670 , 39.733330 |
| Utaani | -5.083330 , 39.716670 |
| Utaani | -5.066670 , 39.783330 |
| Utaani | -5.150000 , 39.733330 |
| Utaani | -5.050000 , 39.750000 |
| Utaani | -5.100000 , 39.700000 |
| Utembe | -5.183330 , 39.800000 |
| Uwondwe | -5.083330 , 39.716670 |
| Vikongoni | -5.200000 , 39.800000 |
| Vumba | -5.116670 , 39.800000 |
| Wageni | -5.150000 , 39.766670 |
| Weani | -5.066670 , 39.783330 |
| Wete | -5.055890 , 39.729380 |
| Ziwani | -5.066670 , 39.816670 |
| Ziwani | -5.116670 , 39.816670 |
Notes:
- You can download geometry data for Wete in various formats (Geojson,KML,GPX,raw OSM data) by clicking export button on the overpass-turbo
- You can freely use the jpeg type map images you created on the "map cropping" page or downloaded from the "samples" pages.
- (**) Terms of Use for downloaded geojson files.
- You can download geometry data for Wete in various formats (Geojson,KML,GPX,raw OSM data) by clicking export button on the overpass-turbo
- You can freely use the jpeg type map images you created on the "map cropping" page or downloaded from the "samples" pages.
- (**) Terms of Use for downloaded geojson files.