tools.PAINTMAPS.comChake Chake (Pemba South) Map Cropping Samples
Chake Chake (Pemba South) Map Cropping Samples-1
Chake Chake (Pemba South) Map Cropping Samples-2
Chake Chake neighborhoods and villages map with 3D shadow effect
flag map of Chake Chake with 3D shadow effect
Chake Chake map with 3d shadow effect
Download outline map of Chake Chake (geojson format) : Chake Chake.geojson (**)
Download polygon array of Chake Chake map for "Google Maps" : Chake Chake.txt
Bounding Box for Chake Chake Map : ( -5.335593 , 39.647472 , -5.15853 , 39.855784 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Chake Chake map
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Chake Chake)
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Chake Chake
Create Chake Chake neighborhoods and villages map.
Download polygon array of Chake Chake map for "Google Maps" : Chake Chake.txt
Bounding Box for Chake Chake Map : ( -5.335593 , 39.647472 , -5.15853 , 39.855784 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Chake Chake map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-5.335593, 39.647472, -5.15853, 39.855784);
);
out geom;
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-5.335593, 39.647472, -5.15853, 39.855784);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Chake Chake)
[out:json];
(
rel["name"="Chake Chake"][type=boundary];
rel["name:en"="Chake Chake"][type=boundary];
);
out geom;
(
rel["name"="Chake Chake"][type=boundary];
rel["name:en"="Chake Chake"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Chake Chake
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Banani | -5.250000 , 39.733330 |
| Barawa | -5.166670 , 39.766670 |
| Barawa | -5.216670 , 39.766670 |
| Birikau | -5.216670 , 39.750000 |
| Boma | -5.250000 , 39.766670 |
| Chake Chake | -5.242953 , 39.773337 |
| Changani | -5.200000 , 39.816670 |
| Chanjaani | -5.283330 , 39.750000 |
| Chanjani | -5.283330 , 39.783330 |
| Chanjani | -5.250000 , 39.783330 |
| Chanoni | -5.283330 , 39.733330 |
| Chombeo | -5.300000 , 39.750000 |
| Chonga | -5.300000 , 39.750000 |
| Chumbuni | -5.183330 , 39.766670 |
| Chumvini | -5.300000 , 39.800000 |
| Chununi | -5.266670 , 39.766670 |
| Daya | -5.216670 , 39.750000 |
| Domokaya | -5.300000 , 39.800000 |
| Dongoni | -5.250000 , 39.733330 |
| Finyeuso | -5.250000 , 39.733330 |
| Foraha | -5.250000 , 39.816670 |
| Fungatumbo | -5.166670 , 39.783330 |
| Hurumuzi | -5.250000 , 39.833330 |
| Jamvini | -5.250000 , 39.733330 |
| Jamvini | -5.216670 , 39.816670 |
| Jifunge | -5.166670 , 39.783330 |
| Jitenge | -5.183330 , 39.783330 |
| Jojo | -5.300000 , 39.783330 |
| Kaole | -5.233330 , 39.750000 |
| Kibokoni | -5.250000 , 39.833330 |
| Kiburunzi | -5.233330 , 39.766670 |
| Kibuyuni | -5.200000 , 39.766670 |
| Kichange | -5.250000 , 39.733330 |
| Kichungwani | -5.200000 , 39.750000 |
| Kichuwani | -5.200000 , 39.750000 |
| Kidemeni | -5.200000 , 39.766670 |
| Kigomasha | -5.266670 , 39.750000 |
| Kigongoni | -5.266670 , 39.700000 |
| Kigongoni | -5.183330 , 39.750000 |
| Kigope | -5.216670 , 39.766670 |
| Kijangani | -5.283330 , 39.766670 |
| Kikongwe | -5.216670 , 39.766670 |
| Kikongwe | -5.216670 , 39.750000 |
| Kikowke | -5.183330 , 39.766670 |
| Kilewajuni | -5.300000 , 39.783330 |
| Kilimani | -5.283330 , 39.716670 |
| Kilindi | -5.266670 , 39.716670 |
| Kilulu | -5.250000 , 39.733330 |
| Kilwa | -5.166670 , 39.766670 |
| Kinyasini | -5.200000 , 39.766670 |
| Kipange | -5.200000 , 39.816670 |
| Kisiwani | -5.233330 , 39.750000 |
| Kitambuni | -5.300000 , 39.733330 |
| Kitutui | -5.216670 , 39.750000 |
| Kiwaa | -5.283330 , 39.816670 |
| Kiwaa | -5.216670 , 39.816670 |
| Kiwapwa | -5.166670 , 39.766670 |
| Komboni | -5.200000 , 39.833330 |
| Kopole | -5.250000 , 39.766670 |
| Koveni | -5.300000 , 39.800000 |
| Kulilia | -5.250000 , 39.783330 |
| Kungeni | -5.283330 , 39.716670 |
| Kunguni | -5.216670 , 39.716670 |
| Limanda | -5.283330 , 39.816670 |
| Limani | -5.283330 , 39.783330 |
| Limbolimboni | -5.283330 , 39.816670 |
| Mabaoni | -5.250000 , 39.800000 |
| Maboyoni | -5.216670 , 39.816670 |
| Magogoni | -5.216670 , 39.750000 |
| Magome | -5.216670 , 39.800000 |
| Magonini | -5.200000 , 39.783330 |
| Maji Meusi | -5.183330 , 39.750000 |
| Majinoni | -5.283330 , 39.783330 |
| Majoka | -5.183330 , 39.766670 |
| Makaange | -5.216670 , 39.750000 |
| Makaani | -5.300000 , 39.816670 |
| Makafara | -5.266670 , 39.700000 |
| Mambomsije | -5.166670 , 39.766670 |
| Mambosasa | -5.200000 , 39.783330 |
| Manamancha | -5.216670 , 39.800000 |
| Mangweni | -5.266670 , 39.733330 |
| Manyaga | -5.283330 , 39.800000 |
| Matetewa | -5.166670 , 39.783330 |
| Mavungwa | -5.183330 , 39.783330 |
| Mbaleni | -5.216670 , 39.733330 |
| Mbuzini | -5.200000 , 39.783330 |
| Mchache | -5.183330 , 39.750000 |
| Mchanga | -5.200000 , 39.766670 |
| Mchangani | -5.183330 , 39.766670 |
| Mchangani | -5.233330 , 39.766670 |
| Mchangani | -5.166670 , 39.766670 |
| Mchekeni | -5.266670 , 39.766670 |
| Mfikiwa | -5.266670 , 39.816670 |
| Mgogoni | -5.266670 , 39.783330 |
| Miburani | -5.200000 , 39.766670 |
| Michakaini | -5.233330 , 39.766670 |
| Michingani | -5.216670 , 39.833330 |
| Mifuni | -5.216670 , 39.750000 |
| Mikongweni | -5.216670 , 39.766670 |
| Minazini | -5.233330 , 39.766670 |
| Misherefonkongwe | -5.200000 , 39.833330 |
| Misherefu | -5.216670 , 39.833330 |
| Misooni | -5.266670 , 39.750000 |
| Misufini | -5.250000 , 39.783330 |
| Mitamani | -5.283330 , 39.783330 |
| Miulani | -5.316670 , 39.783330 |
| Miungoni | -5.216670 , 39.733330 |
| Mjananza | -5.200000 , 39.816670 |
| Mjananza | -5.250000 , 39.783330 |
| Mjananza | -5.200000 , 39.783330 |
| Mkanjuni | -5.233330 , 39.783330 |
| Mkonga | -5.200000 , 39.766670 |
| Mkonobagi | -5.233330 , 39.833330 |
| Mkunazini | -5.183330 , 39.766670 |
| Mnonyge | -5.200000 , 39.783330 |
| Mombakau | -5.266670 , 39.750000 |
| Msalabani | -5.250000 , 39.733330 |
| Msuka | -5.316670 , 39.800000 |
| Mtafika | -5.216670 , 39.750000 |
| Mtafika | -5.216670 , 39.766670 |
| Mtakahoja | -5.183330 , 39.783330 |
| Mtakata | -5.233330 , 39.800000 |
| Mtemani | -5.183330 , 39.766670 |
| Mtemani | -5.216670 , 39.766670 |
| Mtemani | -5.233330 , 39.766670 |
| Mtemani | -5.250000 , 39.733330 |
| Mtemani | -5.166670 , 39.766670 |
| Mteteni | -5.166670 , 39.766670 |
| Muali | -5.166670 , 39.766670 |
| Muhamidiwa | -5.200000 , 39.766670 |
| Mustarehe | -5.216670 , 39.766670 |
| Mvumoni | -5.266670 , 39.816670 |
| Mwembeduka | -5.250000 , 39.766670 |
| Ndagoni | -5.216670 , 39.716670 |
| Ngambwa | -5.216670 , 39.783330 |
| Ngelema | -5.283330 , 39.716670 |
| Ngoma Kazingwa | -5.233330 , 39.766670 |
| Niapi | -5.200000 , 39.766670 |
| Njanyanza | -5.216670 , 39.833330 |
| Njuguni | -5.283330 , 39.783330 |
| Nyali | -5.266670 , 39.733330 |
| Nyanjale | -5.283330 , 39.816670 |
| Pagali | -5.216670 , 39.766670 |
| Papani | -5.266670 , 39.716670 |
| Pembeni | -5.183330 , 39.750000 |
| Pondeani | -5.216670 , 39.766670 |
| Pujini | -5.300000 , 39.800000 |
| Pwana | -5.250000 , 39.766670 |
| Sembekesa | -5.183330 , 39.766670 |
| Semewani | -5.183330 , 39.783330 |
| Shigiwana | -5.233330 , 39.800000 |
| Shungi | -5.266670 , 39.750000 |
| Sifala | -5.166670 , 39.783330 |
| Sikandaria | -5.166670 , 39.766670 |
| Sitarani | -5.216670 , 39.766670 |
| Siwamoja | -5.216670 , 39.783330 |
| Taandani | -5.266670 , 39.700000 |
| Tondooni | -5.300000 , 39.800000 |
| Tondooni | -5.250000 , 39.800000 |
| Turisanani | -5.216670 , 39.766670 |
| Uchangani | -5.216670 , 39.716670 |
| Ujinga | -5.233330 , 39.783330 |
| Uleni | -5.283330 , 39.750000 |
| Umungani | -5.233330 , 39.816670 |
| Utaani | -5.216670 , 39.783330 |
| Utaani | -5.250000 , 39.783330 |
| Uvumbi | -5.250000 , 39.766670 |
| Uwani | -5.233330 , 39.783330 |
| Vitongoji | -5.231050 , 39.820550 |
| Vumba | -5.233330 , 39.833330 |
| Wawi | -5.250000 , 39.800000 |
| Welene | -5.266670 , 39.800000 |
| Wesha | -5.233330 , 39.733330 |
| Ziwani | -5.166670 , 39.766670 |
| Ziwani | -5.216670 , 39.833330 |
Notes:
- You can download geometry data for Chake Chake 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 Chake Chake 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.