Download outline map of Seles (geojson format) :
Seles.geojson (**)
Download polygon array of Seles map for "Google Maps" :
Seles.txt
Bounding Box for Seles Map : ( -11.720268 , 14.024908 , -11.153088 , 14.943653 )
Wikipedia ID for Seles : Q2572141
Wikipedia SPARQL Query for Seles (population,elevation,area,lat,long, postal code,licence plate) :
SELECT ?population ?elevation ?area ?latitude ?longitude ?postal_code ?license_plate
WHERE {
OPTIONAL { wd:Q2572141 wdt:P1082 ?population. }
OPTIONAL { wd:Q2572141 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q2572141 wdt:P2046 ?area. }
OPTIONAL { wd:Q2572141 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q2572141 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q2572141 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
Get Boundaries from overpass-turbo (OSM) with boundary box of Seles map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-11.720268, 14.024908, -11.153088, 14.943653);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Seles)
[out:json];
(
rel["name"="Seles"][type=boundary];
rel["name:en"="Seles"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Seles
Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
A. Marques | -11.529290 , 14.733640 |
Aengue | -11.448720 , 14.460940 |
Aguepa | -11.468990 , 14.471350 |
Alhoaio do Ngalo | -11.373010 , 14.333040 |
Ambande | -11.371350 , 14.252260 |
Amboiva | -11.529290 , 14.733640 |
Amboiva | -11.540710 , 14.727260 |
Anda | -11.383330 , 14.200000 |
Aquepa | -11.483330 , 14.450000 |
Assango | -11.533330 , 14.483330 |
Ave Moma | -11.421720 , 14.416880 |
Balaca | -11.308090 , 14.829640 |
Bango | -11.700000 , 14.500000 |
Bango | -11.351520 , 14.222590 |
Boa Vida | -11.460670 , 14.212590 |
Bondje | -11.450000 , 14.750000 |
Botera | -11.616670 , 14.266670 |
Buanga | -11.566670 , 14.200000 |
Bulo | -11.316670 , 14.200000 |
Caacata | -11.450000 , 14.800000 |
Caacata | -11.433330 , 14.800000 |
Caboqueiro | -11.257410 , 14.793930 |
Cacomba | -11.516670 , 14.216670 |
Cacomba | -11.500000 , 14.233330 |
Caelundo | -11.412520 , 14.627020 |
Caiala | -11.616670 , 14.266670 |
Caiba | -11.466670 , 14.433330 |
Caiba-Iba | -11.465490 , 14.425680 |
Cainja | -11.439540 , 14.232070 |
Cainja | -11.429950 , 14.243780 |
Caiombo | -11.411450 , 14.525050 |
Caita | -11.550000 , 14.266670 |
Calala | -11.300000 , 14.300000 |
Calele | -11.343090 , 14.212500 |
Calila | -11.316670 , 14.900000 |
Caluango | -11.583330 , 14.666670 |
Camba | -11.600000 , 14.233330 |
Cambimbe | -11.408910 , 14.612270 |
Cambota | -11.401360 , 14.289550 |
Candel | -11.550000 , 14.166670 |
Cane | -11.507400 , 14.514910 |
Canga | -11.312680 , 14.271680 |
Cangala | -11.376800 , 14.286160 |
Cangongo | -11.445510 , 14.832610 |
Canjundo | -11.264380 , 14.845520 |
Capanga | -11.478930 , 14.237370 |
Capeio | -11.533330 , 14.700000 |
Capeio | -11.425260 , 14.876580 |
Capolo | -11.576210 , 14.847720 |
Capunda | -11.170430 , 14.838920 |
Caquissi | -11.490270 , 14.769530 |
Cassoce | -11.466670 , 14.733330 |
Catanda | -11.409000 , 14.217620 |
Catanda | -11.700000 , 14.466670 |
Catanda | -11.716670 , 14.450000 |
Catete | -11.406610 , 14.311440 |
Catete Massango | -11.327760 , 14.894600 |
Catolala | -11.616670 , 14.233330 |
Caue | -11.441440 , 14.522470 |
Cavinda | -11.533330 , 14.200000 |
Chenje | -11.458260 , 14.378670 |
Cheoculo | -11.566670 , 14.850000 |
Chiaca | -11.484170 , 14.238290 |
Chiaca | -11.666670 , 14.383330 |
Chiacra | -11.221580 , 14.898580 |
Chicanda | -11.450020 , 14.213620 |
Chicunda | -11.433330 , 14.900000 |
Chieve | -11.307690 , 14.347260 |
Chilengues | -11.566670 , 14.850000 |
Chimbingo | -11.291880 , 14.156690 |
Chimbuengue | -11.377360 , 14.555440 |
Chindamba | -11.360790 , 14.185240 |
Chindembe | -11.416670 , 14.783330 |
Chindula | -11.360790 , 14.356440 |
Chinendele | -11.416440 , 14.479760 |
Chingombe | -11.583330 , 14.233330 |
Chingungo | -11.382380 , 14.304290 |
Chiongo | -11.483330 , 14.333330 |
Chipanga | -11.494380 , 14.280300 |
Chipindo | -11.314670 , 14.430360 |
Chipombo | -11.473700 , 14.223820 |
Chipuca | -11.600000 , 14.183330 |
Chiriva | -11.458430 , 14.227880 |
Chiriva Panga | -11.439450 , 14.402440 |
Chitende | -11.633330 , 14.300000 |
Chitongo | -11.300000 , 14.400000 |
Chivangulula | -11.393720 , 14.487270 |
Chivangulula | -11.409120 , 14.448560 |
Chivolica | -11.382140 , 14.879700 |
Congolua | -11.509310 , 14.739270 |
Cotunho | -11.364100 , 14.751490 |
Cuchem | -11.383330 , 14.900000 |
Cumbila | -11.444270 , 14.212050 |
Cunenga | -11.583330 , 14.250000 |
Cunga | -11.350000 , 14.216670 |
Cutemba | -11.350000 , 14.183330 |
Cutomba | -11.433720 , 14.475490 |
Dumbo | -11.451790 , 14.259470 |
Dundo | -11.345330 , 14.770410 |
Equele | -11.383330 , 14.883330 |
Galileia | -11.329960 , 14.363440 |
Galileia | -11.392770 , 14.506980 |
Gange | -11.616670 , 14.500000 |
Ginga | -11.401120 , 14.448050 |
Ginga da Lua | -11.433330 , 14.300000 |
Gumba | -11.450000 , 14.500000 |
Gungue | -11.300000 , 14.266670 |
Gunja | -11.600000 , 14.350000 |
Gunjo | -11.481910 , 14.734520 |
Guto | -11.283330 , 14.250000 |
Hanha | -11.516670 , 14.816670 |
Hombo | -11.444830 , 14.812340 |
Hombo | -11.400000 , 14.216670 |
Hombo | -11.407190 , 14.349670 |
Hongo | -11.450000 , 14.766670 |
Hote | -11.392230 , 14.090000 |
Humanho | -11.343340 , 14.472930 |
Iai | -11.266670 , 14.350000 |
Inconcom | -11.410820 , 14.284860 |
Ingandola | -11.391660 , 14.308750 |
Ingongolo | -11.358010 , 14.277100 |
Ipela do Ngalo | -11.343620 , 14.319700 |
Itumbo | -11.292950 , 14.374970 |
Jamba | -11.566670 , 14.200000 |
Jamba | -11.471920 , 14.512120 |
Jambi | -11.388080 , 14.773110 |
Jimbo | -11.516670 , 14.233330 |
Jimbo | -11.533330 , 14.233330 |
Kissengue | -11.366670 , 14.900000 |
Langanda | -11.435530 , 14.106780 |
Lobito | -11.516670 , 14.533330 |
Lopito | -11.326170 , 14.289000 |
Luaio | -11.366670 , 14.333330 |
Luengue | -11.533330 , 14.266670 |
Lueu | -11.450000 , 14.233330 |
Lupupa | -11.566670 , 14.883330 |
Maera | -11.566670 , 14.700000 |
Malua | -11.412660 , 14.773620 |
Mande | -11.491470 , 14.546170 |
Mangue | -11.271100 , 14.789710 |
Massango | -11.350000 , 14.900000 |
Meme | -11.308700 , 14.397860 |
Moma | -11.533330 , 14.416670 |
Moma da Banze | -11.391840 , 14.433330 |
Mondumbo | -11.400000 , 14.916670 |
Mondumbo | -11.400000 , 14.900000 |
Monte Alto | -11.357070 , 14.732190 |
Muca | -11.444540 , 14.468620 |
Nazare | -11.389160 , 14.415790 |
Nazare | -11.449650 , 14.234870 |
Ndevi | -11.420660 , 14.330960 |
Ngalo | -11.361460 , 14.337480 |
Nganja | -11.281850 , 14.340560 |
Nganja do Ngalo | -11.291830 , 14.341070 |
Nguendela | -11.418210 , 14.304500 |
Ngulunga | -11.427280 , 14.759910 |
Ngunga | -11.373470 , 14.293960 |
Ngungue | -11.477290 , 14.312260 |
Nhanha | -11.465000 , 14.407790 |
Nhendjo | -11.350000 , 14.766670 |
Nhime | -11.616670 , 14.200000 |
Nune | -11.480760 , 14.456980 |
Obra | -11.397980 , 14.307930 |
Obra | -11.398720 , 14.070760 |
Palanca | -11.666670 , 14.483330 |
Pande | -11.199610 , 14.863190 |
Panga | -11.431960 , 14.359690 |
Panga | -11.459370 , 14.359080 |
Puipuila | -11.650000 , 14.416670 |
Punda | -11.533330 , 14.250000 |
Quibala | -11.376150 , 14.221190 |
Quibanga | -11.383120 , 14.362800 |
Quicalabala | -11.315550 , 14.893430 |
Quicoto | -11.271470 , 14.349200 |
Quilenda | -11.466670 , 14.133330 |
Quilungo | -11.219720 , 14.881800 |
Quimbala | -11.400000 , 14.216670 |
Quimbanja | -11.370700 , 14.239150 |
Quimbundo | -11.450000 , 14.433330 |
Quipito | -11.259180 , 14.157200 |
Quirimba | -11.216670 , 14.816670 |
Quiteque | -11.316670 , 14.400000 |
Rianguira | -11.583330 , 14.383330 |
Rianguira | -11.600000 , 14.383330 |
Roca Caiala | -11.450000 , 14.183330 |
Roca Chipindo | -11.433330 , 14.200000 |
Roca Hala | -11.600000 , 14.200000 |
Roca Rianguila | -11.583330 , 14.750000 |
Sadul | -11.468070 , 14.605070 |
Saienque | -11.450000 , 14.916670 |
Sandaanga | -11.484130 , 14.857740 |
Sanje | -11.250350 , 14.820550 |
Santa Isabel | -11.399710 , 14.297350 |
Sao Tome | -11.425370 , 14.312670 |
Sapanga | -11.455550 , 14.658800 |
Save | -11.483330 , 14.516670 |
Sete | -11.395020 , 14.377940 |
Singualele | -11.600000 , 14.366670 |
Sivinda Hote | -11.341330 , 14.139440 |
Sungo | -11.326370 , 14.364060 |
Tangane | -11.533330 , 14.433330 |
Techilulo | -11.466670 , 14.766670 |
Tende | -11.348160 , 14.282170 |
Tumba Primeiro | -11.286240 , 14.907760 |
Tumba Segundo | -11.265050 , 14.899510 |
Tunda | -11.383330 , 14.516670 |
Ualo | -11.466290 , 14.478010 |
Ucu Seles | -11.412370 , 14.306630 |
Uia | -11.407950 , 14.082280 |
Umbreia | -11.382140 , 14.879700 |
Utende | -11.317970 , 14.158400 |
Notes:
- You can download geometry data for Seles 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.