Download outline map of Nakaseke (geojson format) :
Nakaseke.geojson (**)
Download polygon array of Nakaseke map for "Google Maps" :
Nakaseke.txt
Bounding Box for Nakaseke Map : ( 0.537061 , 31.821762 , 1.470917 , 32.499465 )
Wikipedia ID for Nakaseke : Q432438
Wikipedia SPARQL Query for Nakaseke (population,elevation,area,lat,long, postal code,licence plate) :
SELECT ?population ?elevation ?area ?latitude ?longitude ?postal_code ?license_plate
WHERE {
OPTIONAL { wd:Q432438 wdt:P1082 ?population. }
OPTIONAL { wd:Q432438 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q432438 wdt:P2046 ?area. }
OPTIONAL { wd:Q432438 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q432438 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q432438 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 Nakaseke map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](0.537061, 31.821762, 1.470917, 32.499465);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Nakaseke)
[out:json];
(
rel["name"="Nakaseke"][type=boundary];
rel["name:en"="Nakaseke"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Nakaseke
Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
Bale | 1.433330 , 32.033330 |
Bawalakata | 0.866670 , 32.333330 |
Bendegere | 0.733330 , 32.316670 |
Budzi | 1.257640 , 31.968450 |
Bugalama | 1.016670 , 32.016670 |
Bugoye | 1.166670 , 32.333330 |
Bujugwa | 1.150000 , 32.033330 |
Bukatira | 0.600000 , 32.283330 |
Bukoki | 1.033330 , 32.166670 |
Bukolwa | 0.733330 , 32.483330 |
Bukuku | 0.566670 , 32.266670 |
Bulembwe | 1.050000 , 32.300000 |
Bulungi | 1.144100 , 31.967330 |
Bumomi | 1.350000 , 32.050000 |
Buwana | 1.166670 , 32.200000 |
Buwanku | 1.231730 , 31.925490 |
Gangu | 0.700000 , 32.316670 |
Gomero | 1.216670 , 32.033330 |
Iringita | 1.066670 , 32.233330 |
Junda | 1.116670 , 32.016670 |
Kadunda | 0.633330 , 32.233330 |
Kakinzi | 0.883330 , 32.300000 |
Kalagala | 0.966670 , 32.350000 |
Kalege | 0.600000 , 32.266670 |
Kalyanda | 0.983330 , 32.183330 |
Kamuli | 0.800000 , 32.400000 |
Kamunkwale | 1.366670 , 32.116670 |
Kamusenene | 1.183330 , 32.133330 |
Kansiri | 0.716670 , 32.200000 |
Kapeka | 0.691110 , 32.235560 |
Kasambya | 0.769440 , 32.321940 |
Kasangombe | 0.750000 , 32.466670 |
Kaswa | 1.198280 , 31.970890 |
Katabanda | 1.283330 , 32.200000 |
Katale | 0.772220 , 32.225000 |
Katambogo | 1.033330 , 32.233330 |
Katoma | 1.000000 , 32.116670 |
Kaweweta | 1.250000 , 32.150000 |
Kayina | 0.950000 , 32.133330 |
Kibale | 0.766670 , 32.416670 |
Kifunfugu | 0.666670 , 32.433330 |
Kigege | 0.766670 , 32.383330 |
Kigweri | 1.093330 , 32.043330 |
Kijumbi | 1.033330 , 32.033330 |
Kikamulo | 0.833330 , 32.366670 |
Kikondo | 1.016670 , 32.250000 |
Kikubampanga | 0.566670 , 32.300000 |
Kikubanimba | 0.850000 , 32.416670 |
Kileku | 0.633330 , 32.250000 |
Kilinda | 0.950000 , 32.183330 |
Kilinya | 0.683330 , 32.366670 |
Kisalizi | 1.083330 , 32.083330 |
Kisendwe | 0.966670 , 32.033330 |
Kisozi | 1.380170 , 31.890370 |
Kisubi | 0.933330 , 32.300000 |
Kitantalo | 1.216670 , 32.333330 |
Kiwaguzi | 1.000000 , 32.050000 |
Kiwoga | 1.116670 , 32.116670 |
Kiwoko | 0.846390 , 32.353060 |
Kiyotosi | 1.333330 , 32.133330 |
Kyabagoye | 1.033330 , 32.116670 |
Kyajinja | 0.583330 , 32.266670 |
Kyakachumu | 1.333330 , 32.050000 |
Kyamayigale | 1.050000 , 32.033330 |
Kyampisi | 0.700000 , 32.266670 |
Kyampuga | 1.050000 , 32.000000 |
Kyamungu | 1.183330 , 32.183330 |
Kyamutakasa | 0.707780 , 32.353890 |
Kyanamuwanga | 1.100000 , 32.166670 |
Kyantama | 1.100000 , 32.266670 |
Kyawole | 1.083330 , 32.216670 |
Kyengeza | 1.283440 , 31.966300 |
Kyensongaza | 1.083330 , 32.316670 |
Lukumbi | 0.583330 , 32.250000 |
Lukumbi | 0.850000 , 32.233330 |
Lule | 0.666670 , 32.316670 |
Lulenge | 1.421560 , 31.933070 |
Lutete | 0.833330 , 32.416670 |
Lwamangu | 0.991940 , 32.314440 |
Lwamaungu | 0.998610 , 32.310280 |
Lwamaungu | 1.033330 , 32.300000 |
Lwebikere | 1.342470 , 31.918810 |
Mabale | 0.883330 , 32.350000 |
Mazigo | 0.650000 , 32.300000 |
Mbaja | 1.266670 , 32.100000 |
Mbiridzi | 0.950000 , 32.100000 |
Migingye | 0.666670 , 32.350000 |
Mitiyomere | 0.916670 , 32.283330 |
Nabitayo | 1.066670 , 32.250000 |
Nagela | 0.966670 , 32.133330 |
Nakabimba | 1.066670 , 32.000000 |
Nakabiso | 1.033330 , 32.150000 |
Nakalama | 1.322820 , 31.896840 |
Nakasejere | 1.000000 , 32.183330 |
Nakaseke | 0.751670 , 32.385000 |
Nakawungu | 0.666670 , 32.383330 |
Namasuba | 0.689440 , 32.421390 |
Namazzi | 0.733330 , 32.200000 |
Nambeya | 0.650000 , 32.350000 |
Namusale | 0.700000 , 32.300000 |
Ndalagi | 1.250000 , 32.066670 |
Ndede | 1.336720 , 31.850620 |
Ngoma | 1.160830 , 32.022780 |
Nkuzongire | 0.633330 , 32.333330 |
Nsonyira | 1.250000 , 32.100000 |
Nvunano | 0.600000 , 32.233330 |
Semuto | 0.627220 , 32.313330 |
Sigogwesere | 1.016670 , 32.216670 |
Tweyanze | 1.300000 , 32.083330 |
Wakyato | 0.874440 , 32.204720 |
Notes:
- You can download geometry data for Nakaseke 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.