tools.PAINTMAPS.comChama (Northern) Map Cropping Samples
Chama (Northern) Map Cropping Samples-1
Chama (Northern) Map Cropping Samples-2
Chama neighborhoods and villages map with 3D shadow effect
flag map of Chama with 3D shadow effect
Chama map with 3d shadow effect
Download outline map of Chama (geojson format) : Chama.geojson (**)
Download polygon array of Chama map for "Google Maps" : Chama.txt
Bounding Box for Chama Map : ( -12.180229 , 32.220877 , -10.330821 , 33.698877 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Chama map
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Chama)
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Chama
Create Chama neighborhoods and villages map.
Download polygon array of Chama map for "Google Maps" : Chama.txt
Bounding Box for Chama Map : ( -12.180229 , 32.220877 , -10.330821 , 33.698877 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Chama map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-12.180229, 32.220877, -10.330821, 33.698877);
);
out geom;
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-12.180229, 32.220877, -10.330821, 33.698877);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Chama)
[out:json];
(
rel["name"="Chama"][type=boundary];
rel["name:en"="Chama"][type=boundary];
);
out geom;
(
rel["name"="Chama"][type=boundary];
rel["name:en"="Chama"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Chama
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Bira | -11.733330 , 33.116670 |
| Buli | -11.349980 , 33.082260 |
| Chadwa | -12.133330 , 32.566670 |
| Chalwe | -12.150000 , 32.583330 |
| Chama | -11.213040 , 33.152100 |
| Chankalamu | -11.783330 , 32.750000 |
| Chendunansehe | -10.466670 , 32.766670 |
| Chessia | -11.716670 , 32.816670 |
| Chibiza | -10.826440 , 33.173340 |
| Chibonda | -11.766670 , 32.700000 |
| Chibunda | -11.983330 , 32.533330 |
| Chifunda | -11.879520 , 32.588720 |
| Chifundufwe | -11.349540 , 33.049080 |
| Chikalanga | -11.216670 , 33.033330 |
| Chikonta | -10.716670 , 32.966670 |
| Chikonta | -10.583330 , 33.100000 |
| Chikuloni | -11.516670 , 33.016670 |
| Chikwa | -11.283330 , 32.250000 |
| Chikwa | -11.680340 , 32.774220 |
| Chileta | -11.533330 , 32.816670 |
| Chili | -11.066670 , 33.100000 |
| Chilokotwe | -11.171280 , 32.902770 |
| Chilunduwe | -11.516670 , 33.000000 |
| Chiluwaluwa | -11.500000 , 33.033330 |
| Chimbabantu | -10.819410 , 33.163020 |
| Chimbafe | -11.600000 , 33.116670 |
| Chimbavi | -11.666670 , 33.050000 |
| Chimetu | -11.716670 , 32.833330 |
| Chimpamba | -11.666670 , 32.733330 |
| Chimzinga | -11.666670 , 32.666670 |
| Chindube | -12.116670 , 32.583330 |
| Chinokotwe | -11.416670 , 32.400000 |
| Chinyondo | -12.150000 , 32.616670 |
| Chipamba | -11.508030 , 32.773910 |
| Chipangu | -10.622470 , 32.866980 |
| Chipondo | -11.683330 , 32.783330 |
| Chipwaila | -12.000000 , 32.550000 |
| Chirimunganda | -11.650000 , 32.833330 |
| Chisamba | -11.383330 , 33.100000 |
| Chisimba | -11.200000 , 33.133330 |
| Chisondi | -11.266670 , 33.116670 |
| Chiteba | -11.347230 , 32.880050 |
| Chitimbe | -11.352210 , 32.901700 |
| Chitowa | -10.566670 , 33.100000 |
| Chitukula | -11.616670 , 32.983330 |
| Chitukulu | -11.449140 , 33.038230 |
| Chiulo | -11.800000 , 32.733330 |
| Chiwale | -10.550000 , 32.783330 |
| Chiwali | -11.983330 , 32.516670 |
| Chizizi | -11.766670 , 32.850000 |
| Chomo | -11.383330 , 33.116670 |
| Chuka | -10.800000 , 33.366670 |
| Chumanganga | -11.716670 , 32.883330 |
| Chunga | -10.566570 , 33.072230 |
| Chutawalenga | -11.833330 , 32.583330 |
| Chuulunga | -11.833330 , 32.550000 |
| Dotoba | -11.783330 , 32.683330 |
| Fulaza | -11.483330 , 32.450000 |
| Fulaza | -11.933330 , 32.433330 |
| Fulaza | -11.750000 , 32.550000 |
| Gwiningi | -11.933330 , 32.583330 |
| Jungu | -10.866670 , 33.216670 |
| Kabanda | -11.200000 , 33.150000 |
| Kachilikila | -10.416670 , 33.033330 |
| Kachirikira | -10.433330 , 33.066670 |
| Kafuandbu | -11.533330 , 32.816670 |
| Kafyanda | -11.050000 , 32.450000 |
| Kajumba | -10.889680 , 33.158880 |
| Kakombe | -11.668280 , 32.656750 |
| Kakuni | -11.538750 , 32.891240 |
| Kalimbila | -10.533330 , 32.916670 |
| Kalinku | -11.085960 , 33.098860 |
| Kalumba | -11.033330 , 33.133330 |
| Kalyanankondo | -11.698580 , 32.751020 |
| Kambombo | -11.100000 , 33.183330 |
| Kamburi | -11.283330 , 33.133330 |
| Kampata | -11.500000 , 33.016670 |
| Kampere | -10.883330 , 33.216670 |
| Kampimpa | -10.516670 , 32.533330 |
| Kampuzunga | -11.450000 , 33.066670 |
| Kanaweza | -11.766670 , 32.683330 |
| Kanayere | -10.850000 , 33.200000 |
| Kangusu | -11.816670 , 32.533330 |
| Kankomba | -11.668210 , 32.656750 |
| Kanokoloka | -10.733330 , 32.650000 |
| Kapachila | -11.637930 , 32.911230 |
| Kapandansalu | -11.250000 , 32.233330 |
| Kaparakonje | -11.883330 , 32.600000 |
| Kaparakonje | -11.183330 , 33.083330 |
| Kapembe | -11.083330 , 32.950000 |
| Kapichida | -11.566670 , 32.916670 |
| Kapihibilila | -10.933330 , 32.533330 |
| Kapotwe | -11.683330 , 32.683330 |
| Kapuzama | -11.650000 , 32.716670 |
| Kasambo | -11.283330 , 33.100000 |
| Kasampanama | -10.583330 , 32.433330 |
| Kasembe | -11.110850 , 33.115960 |
| Kasera | -12.050000 , 32.683330 |
| Katambala | -11.166670 , 32.300000 |
| Katangalika | -11.171600 , 32.897860 |
| Katangalika | -10.500000 , 33.000000 |
| Katumbi | -10.950000 , 33.233330 |
| Kaunku | -11.200000 , 33.000000 |
| Kavicheche | -10.916670 , 32.416670 |
| Kawandu | -11.366670 , 33.116670 |
| Kayula | -10.536530 , 32.872650 |
| Kazilonda | -11.412690 , 32.849940 |
| Kosakwenda | -11.741000 , 32.830390 |
| Kumbombo | -11.233330 , 33.066670 |
| Kungwe | -11.783330 , 32.833330 |
| Longwe | -10.850000 , 33.183330 |
| Lunchenga | -11.666670 , 32.800000 |
| Lundu | -10.931640 , 32.478070 |
| Maimbe | -10.583330 , 32.650000 |
| Makondola | -11.683330 , 32.733330 |
| Malabi | -10.550000 , 32.900000 |
| Malama | -11.250000 , 33.150000 |
| Malondolo | -11.366670 , 32.883330 |
| Malumbu | -11.183330 , 32.883330 |
| Malunga | -11.453680 , 32.930150 |
| Manga | -11.783330 , 32.866670 |
| Masandiko | -11.372590 , 32.856890 |
| Matanda | -11.516670 , 32.783330 |
| Matonda | -11.933330 , 32.733330 |
| Mbangandwe | -11.166670 , 32.966670 |
| Mbotya | -11.483330 , 32.783330 |
| Mchenche | -11.409480 , 33.059810 |
| Mchenche | -11.566670 , 33.000000 |
| Mgonde | -12.150000 , 32.583330 |
| Minande | -11.100000 , 32.900000 |
| Minechipeta | -11.084070 , 32.390520 |
| Mnavyavya | -10.616670 , 33.600000 |
| Molaza | -11.833330 , 32.800000 |
| Mpeta | -10.650000 , 33.133330 |
| Mpianakunda | -11.228450 , 32.803490 |
| Msitu | -11.350000 , 32.466670 |
| Mtembalibwe | -10.750000 , 33.166670 |
| Mtoka | -11.166670 , 33.016670 |
| Mufwa | -11.533330 , 32.833330 |
| Muimba | -11.116670 , 33.066670 |
| Mukumba | -10.566670 , 32.466670 |
| Mulata | -11.616670 , 32.650000 |
| Mulilo | -10.583330 , 33.033330 |
| Mulombwa | -10.716670 , 32.450000 |
| Mulopwe | -11.189960 , 32.847450 |
| Mulosya | -10.564460 , 33.095160 |
| Mundalanga | -11.273910 , 33.096230 |
| Mungulube | -11.166130 , 32.920520 |
| Mungumbe | -11.316670 , 32.900000 |
| Mungwiara | -11.283330 , 33.150000 |
| Muntasheta | -11.350000 , 32.266670 |
| Mupeta | -10.809020 , 33.169570 |
| Mupeto | -10.650000 , 33.133330 |
| Musala | -10.533330 , 32.866670 |
| Musamba | -10.466670 , 32.683330 |
| Musukwa | -11.066670 , 32.333330 |
| Musunga | -11.083330 , 32.400000 |
| Mutonya | -11.706580 , 32.876480 |
| Muwonda | -11.516670 , 32.933330 |
| Mwakana | -11.059240 , 32.573860 |
| Mwami | -11.383330 , 32.866670 |
| Mwanjawira | -12.113860 , 32.468080 |
| Mwanje | -10.593900 , 32.872580 |
| Mwashilinda | -10.550000 , 32.900000 |
| Mwila | -11.383330 , 32.383330 |
| Mwimba | -10.924620 , 33.106850 |
| Mwinechipeta | -11.083330 , 32.400000 |
| Mwinimkonde | -10.977400 , 33.039780 |
| Mwinimutondo | -11.983330 , 32.666670 |
| Nango | -10.583330 , 32.466670 |
| Nanjo | -11.450000 , 32.916670 |
| Ndakhara Chavinda | -11.575500 , 33.275100 |
| Nganga | -11.033330 , 33.016670 |
| Nganja | -11.200000 , 32.966670 |
| Nganjo | -11.550000 , 32.883330 |
| Nganjo | -10.582720 , 33.064300 |
| Nkanka | -10.494120 , 32.794370 |
| Nsindama | -10.866670 , 33.116670 |
| Ntawere | -10.850000 , 33.200000 |
| Ntembazani | -11.616670 , 32.850000 |
| Nusala | -10.383330 , 32.983330 |
| Nyanjo | -10.633330 , 32.900000 |
| Nyembe | -10.522480 , 32.884430 |
| Pipa | -11.000000 , 33.050000 |
| Pogoloni | -11.650000 , 32.716670 |
| Pondo | -11.566670 , 32.650000 |
| Sambangombe | -11.524940 , 32.781010 |
| Sefu | -10.466670 , 32.783330 |
| Shambole | -11.783330 , 32.866670 |
| Shikalinga | -11.225970 , 32.780700 |
| Sikalinga | -11.058270 , 32.918540 |
| Simuzanda | -11.216670 , 32.916670 |
| Sitwe | -10.833330 , 33.200000 |
| Tangalika | -11.450000 , 32.816670 |
| Tembwe | -11.137560 , 32.876210 |
| Tembwe Virizi | -11.266670 , 32.816670 |
| Tundawuwe | -10.700000 , 32.650000 |
| Wuyoyo | -11.700640 , 32.798130 |
| Yembwe | -11.150000 , 32.916670 |
| Yoram | -10.350000 , 32.983330 |
| Zaweli | -11.239010 , 32.882300 |
| Zawongo | -11.294950 , 32.849050 |
| Zowale | -11.566670 , 32.983330 |
| Zowole | -11.666670 , 32.800000 |
Notes:
- You can download geometry data for Chama 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 Chama 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.