tools.PAINTMAPS.comKazungula (Southern) Map Cropping Samples
Kazungula (Southern) Map Cropping Samples-1
Kazungula (Southern) Map Cropping Samples-2
Kazungula neighborhoods and villages map with 3D shadow effect
flag map of Kazungula with 3D shadow effect
Kazungula map with 3d shadow effect
Download outline map of Kazungula (geojson format) : Kazungula.geojson (**)
Download polygon array of Kazungula map for "Google Maps" : Kazungula.txt
Bounding Box for Kazungula Map : ( -18.002367 , 24.9525419113 , -16.0976545907 , 26.3813337407 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Kazungula map
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Kazungula)
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Kazungula
Create Kazungula neighborhoods and villages map.
Download polygon array of Kazungula map for "Google Maps" : Kazungula.txt
Bounding Box for Kazungula Map : ( -18.002367 , 24.9525419113 , -16.0976545907 , 26.3813337407 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Kazungula map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-18.002367, 24.9525419113, -16.0976545907, 26.3813337407);
);
out geom;
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-18.002367, 24.9525419113, -16.0976545907, 26.3813337407);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Kazungula)
[out:json];
(
rel["name"="Kazungula"][type=boundary];
rel["name:en"="Kazungula"][type=boundary];
);
out geom;
(
rel["name"="Kazungula"][type=boundary];
rel["name:en"="Kazungula"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Kazungula
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Belemu | -17.424520 , 25.549240 |
| Belemu | -17.308850 , 25.914590 |
| Bovu | -17.701420 , 25.545750 |
| Cabalanda | -17.423920 , 25.516000 |
| Chibila | -16.900000 , 26.050000 |
| Chigali | -16.883330 , 26.050000 |
| Chileya | -17.409240 , 25.642020 |
| Chilimbana | -17.766670 , 25.500000 |
| Cumwicumwi | -17.350000 , 25.900000 |
| Garampande | -17.683330 , 26.216670 |
| Gunzwe | -17.533330 , 25.616670 |
| Inonge | -17.466670 , 25.933330 |
| Jenga Jenga | -17.533330 , 26.016670 |
| Kakamba | -17.316670 , 25.966670 |
| Kalenga | -17.064800 , 26.163850 |
| Kalondwani | -17.430990 , 25.525550 |
| Kaminyane | -17.012310 , 25.273850 |
| Kamujoma | -17.416670 , 25.483330 |
| Kancele | -17.413010 , 25.648620 |
| Kancele | -17.110690 , 26.157820 |
| Kanimbwa | -17.130150 , 25.701350 |
| Kantamba | -17.266670 , 25.950000 |
| Kantumbi | -17.382020 , 25.613930 |
| Kapule | -17.216670 , 25.916670 |
| Kataba | -17.018300 , 25.587610 |
| Katanda | -16.913430 , 26.061380 |
| Katapasi | -17.616670 , 26.000000 |
| Katapazi | -17.758290 , 26.045520 |
| Katombora | -17.835290 , 25.395020 |
| Katwamzila | -17.312570 , 25.710250 |
| Kauwe | -17.056720 , 26.152970 |
| Kayama | -17.844770 , 25.533320 |
| Kazala | -17.500000 , 25.633330 |
| Kazungula | -17.793560 , 25.274730 |
| Kolondo | -17.216670 , 25.950000 |
| Koma | -17.716670 , 25.550000 |
| Komanyana | -17.833330 , 25.616670 |
| Koolwe | -17.090180 , 26.165690 |
| Kushwamarena | -17.733330 , 25.183330 |
| Libonda | -17.380950 , 25.578110 |
| Likubangwa | -17.378860 , 25.657820 |
| Liluli | -17.300000 , 25.783330 |
| Lizazi | -17.764310 , 25.515260 |
| Lubango | -17.664740 , 25.623540 |
| Mabevu | -17.850000 , 25.516670 |
| Mabwa | -17.087700 , 25.928750 |
| Maibwe | -17.666670 , 25.583330 |
| Makri | -17.533330 , 25.633330 |
| Makunka | -17.534100 , 25.650190 |
| Makwindi | -17.533330 , 25.600000 |
| Malamani | -16.716670 , 25.250000 |
| Malimba | -17.332220 , 25.935880 |
| Maliye | -17.533330 , 25.633330 |
| Mambova | -17.726150 , 25.197370 |
| Mandiya | -17.833330 , 25.550000 |
| Mangwto | -16.933330 , 26.050000 |
| Mankodi | -17.417390 , 25.707730 |
| Mapanda | -17.663590 , 25.572590 |
| Mapena | -17.833330 , 25.566670 |
| Mapolyomoka | -17.375480 , 25.601900 |
| Masole | -17.443230 , 25.675700 |
| Masongozi | -17.466670 , 25.966670 |
| Masuba | -17.445830 , 25.690070 |
| Matongo | -17.023860 , 25.576070 |
| Mazala | -16.433330 , 25.983330 |
| Mbanga | -17.700000 , 25.100000 |
| Momba | -16.469790 , 25.583690 |
| Mpakani | -17.439240 , 25.596350 |
| Muduli | -17.500000 , 25.683330 |
| Mufaka | -17.666670 , 25.566670 |
| Mufana | -17.827730 , 25.556620 |
| Muhongo | -17.381380 , 25.660440 |
| Mujalanyana | -17.441670 , 25.510030 |
| Mukobela | -17.450000 , 25.800000 |
| Mukuni | -17.901520 , 25.938920 |
| Mulele | -17.800000 , 25.533330 |
| Mulele | -17.350000 , 25.933330 |
| Mulemi | -17.850000 , 25.516670 |
| Mulwani | -17.410590 , 25.735880 |
| Munilomba | -17.433330 , 25.916670 |
| Muntanga | -17.216670 , 25.816670 |
| Muruma | -17.033330 , 25.166670 |
| Musiya | -17.686730 , 25.552400 |
| Musokotwane | -17.614220 , 25.889740 |
| Musozia | -17.150000 , 25.883330 |
| Musozia | -17.395030 , 25.652640 |
| Mutabakomu | -17.433330 , 25.766670 |
| Mutepwele | -17.307290 , 25.712020 |
| Mutoka | -17.416670 , 25.950000 |
| Mutubulana | -17.327490 , 25.701990 |
| Mutwanjili | -17.430700 , 25.510730 |
| Muzabwe | -17.066860 , 26.157250 |
| Mweele | -17.533330 , 25.666670 |
| Mwinamo | -17.833330 , 25.566670 |
| Mwindila | -17.483330 , 25.900000 |
| Nakanda | -16.916670 , 26.050000 |
| Nalungwana | -17.650000 , 25.633330 |
| Namadula | -17.379490 , 25.618110 |
| Nasilele | -17.550000 , 25.633330 |
| Ndangalazana | -17.550000 , 25.616670 |
| Nikisi | -17.492670 , 25.611620 |
| Nkobola | -17.283330 , 25.766670 |
| Nkomponi | -17.386260 , 25.682550 |
| Nyambe | -17.554390 , 25.648860 |
| Nyambe | -17.550000 , 25.633330 |
| Nyawa | -17.183420 , 25.892330 |
| Nzunge | -17.366670 , 25.916670 |
| Palata | -16.500000 , 25.050000 |
| Pora | -17.616670 , 26.050000 |
| Sakanoto | -16.978670 , 25.166990 |
| Samate | -17.833330 , 25.600000 |
| Sandavu | -17.833330 , 25.583330 |
| Sheleni | -17.430530 , 25.711240 |
| Shindu | -17.056840 , 26.160490 |
| Siabalengu | -17.438350 , 25.629730 |
| Siabanyama | -17.300000 , 25.916670 |
| Siabene | -17.466670 , 25.883330 |
| Siacaampu | -17.315560 , 25.824810 |
| Siachuma | -17.516670 , 25.666670 |
| Siakabale | -17.100000 , 25.916670 |
| Siakabali | -16.966670 , 26.100000 |
| Siakalima | -17.433330 , 25.866670 |
| Sialungalala | -17.433330 , 25.900000 |
| Sialwindi | -17.491730 , 25.701140 |
| Siamaiba | -17.433330 , 25.916670 |
| Siamani | -17.135600 , 25.882110 |
| Siamate | -17.533330 , 25.616670 |
| Siampono | -17.433330 , 25.900000 |
| Siamugololo | -17.200000 , 25.916670 |
| Siamukubi | -17.533330 , 25.700000 |
| Siamundele | -17.180330 , 25.823040 |
| Siamuntu | -17.217950 , 25.862530 |
| Siamutete | -17.350780 , 25.671780 |
| Siamutoloki | -17.283330 , 25.850000 |
| Siamwaba | -17.500000 , 25.650000 |
| Siankumba | -17.471560 , 25.885750 |
| Sianziba | -16.733330 , 26.050000 |
| Siaruiarala | -17.533330 , 26.016670 |
| Siasimufulila | -17.533330 , 25.716670 |
| Siatubi | -17.391220 , 25.867480 |
| Siatuwa | -17.401510 , 25.721620 |
| Siazilombo | -17.300000 , 25.933330 |
| Sibaluboyi | -17.666670 , 25.483330 |
| Sibangani | -17.566670 , 25.666670 |
| Sibanzi | -16.416670 , 25.100000 |
| Sichange | -17.461300 , 25.987270 |
| Sichonda | -17.026900 , 25.572460 |
| Siciyako | -17.428910 , 25.519030 |
| Sihumbwa | -17.489520 , 25.742990 |
| Sikoci | -17.450000 , 25.816670 |
| Siluyasila | -17.356430 , 25.857850 |
| Simacembele | -17.166670 , 25.850000 |
| Simakalanga | -17.366670 , 25.883330 |
| Simamba | -16.683330 , 25.633330 |
| Simango | -17.429810 , 25.897470 |
| Simasiku | -17.666670 , 25.150000 |
| Simbundu | -16.466670 , 25.066670 |
| Simukali | -17.466670 , 25.950000 |
| Simupingula | -16.750000 , 26.133330 |
| Sinambwani | -17.428010 , 25.558890 |
| Singanga | -17.832180 , 25.589910 |
| Sinyungwe | -17.216670 , 25.883330 |
| Sipwapwa | -17.816670 , 25.433330 |
| Siyakaslpa | -17.548840 , 25.931320 |
| Tomu | -17.283330 , 25.966670 |
Notes:
- You can download geometry data for Kazungula 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 Kazungula 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.