tools.PAINTMAPS.comCogo (Litoral) Map Cropping Samples
Cogo (Litoral) Map Cropping Samples-1
Cogo (Litoral) Map Cropping Samples-2
Cogo neighborhoods and villages map with 3D shadow effect
flag map of Cogo with 3D shadow effect
Cogo map with 3d shadow effect
Download outline map of Cogo (geojson format) : Cogo.geojson (**)
Download polygon array of Cogo map for "Google Maps" : Cogo.txt
Bounding Box for Cogo Map : ( 0.920536 , 9.343722343 , 1.40852909572 , 10.2615043804 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Cogo map
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Cogo)
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Cogo
Create Cogo neighborhoods and villages map.
Download polygon array of Cogo map for "Google Maps" : Cogo.txt
Bounding Box for Cogo Map : ( 0.920536 , 9.343722343 , 1.40852909572 , 10.2615043804 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Cogo map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](0.920536, 9.343722343, 1.40852909572, 10.2615043804);
);
out geom;
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](0.920536, 9.343722343, 1.40852909572, 10.2615043804);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Cogo)
[out:json];
(
rel["name"="Cogo"][type=boundary];
rel["name:en"="Cogo"][type=boundary];
);
out geom;
(
rel["name"="Cogo"][type=boundary];
rel["name:en"="Cogo"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Cogo
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Abenelang | 1.003550 , 9.984450 |
| Abenelang | 0.971740 , 9.982930 |
| Abengnam | 1.193100 , 9.616970 |
| Abennam | 1.084960 , 9.642290 |
| Abet | 1.097870 , 9.721430 |
| Abogocola | 1.136980 , 9.932620 |
| Acalayong | 1.091850 , 9.664030 |
| Acanabor | 1.070170 , 9.955250 |
| Acanabor | 1.040260 , 10.051930 |
| Acanabor | 1.120620 , 9.451930 |
| Achimilang | 1.016590 , 9.932420 |
| Acoga | 1.105270 , 9.630090 |
| Aconekie | 1.064160 , 9.646650 |
| Aconekie | 1.014030 , 10.193810 |
| Acurnam | 1.230800 , 10.148480 |
| Adyap | 1.162410 , 9.616460 |
| Adyap | 1.211090 , 9.874810 |
| Akelayong | 1.195130 , 9.887090 |
| Alar | 1.060960 , 10.076490 |
| Alen | 1.189920 , 9.833940 |
| Alongntang | 1.109820 , 9.743760 |
| Amyonga | 1.175410 , 9.486000 |
| Ansem | 1.087210 , 9.953040 |
| Ansem | 1.106080 , 10.158760 |
| Asamboa | 1.070110 , 9.600890 |
| Asobla | 0.965680 , 9.966130 |
| Asoguebenga | 1.016670 , 10.000000 |
| Asuiabe | 1.203240 , 9.627150 |
| Asuiabe | 1.108830 , 10.219180 |
| Asuiabe | 1.224410 , 9.824100 |
| Avelenam | 1.013850 , 9.932720 |
| Avelenam | 1.129180 , 9.953850 |
| Ayanesala | 1.198780 , 9.938810 |
| Ayanesala | 1.095540 , 9.640430 |
| Ayene | 1.101420 , 9.728010 |
| Balakeke | 1.131890 , 9.470850 |
| Banapa | 1.086070 , 9.704030 |
| Bandondolo | 1.113220 , 9.629280 |
| Bangui | 1.249700 , 9.555490 |
| Basile | 1.183640 , 9.847460 |
| Belen | 1.007850 , 9.929480 |
| Bemvong | 1.182120 , 9.404870 |
| Berbere | 1.116290 , 9.972080 |
| Betimbe | 1.125220 , 9.450000 |
| Bidogo | 1.101830 , 10.134020 |
| Bilene | 1.123510 , 9.906480 |
| Bisobinam | 1.150460 , 9.619710 |
| Bisobinam | 1.018870 , 10.008220 |
| Bisobinam | 1.165960 , 9.401320 |
| Bitom | 1.117580 , 9.937440 |
| Bonche | 1.137060 , 9.484470 |
| Bonobono | 1.245360 , 9.619480 |
| Bonobono | 1.235690 , 9.624280 |
| Boo | 0.969940 , 9.898930 |
| Cabo San Juan | 1.182840 , 9.363360 |
| Camferec | 1.115350 , 9.438610 |
| Campo | 1.237190 , 9.818690 |
| Cang | 1.215250 , 9.515350 |
| Churu | 1.390260 , 10.035330 |
| Churu | 1.387720 , 10.051740 |
| Cogo | 1.150100 , 9.544220 |
| Cogo | 1.084250 , 9.693000 |
| Combo | 1.108550 , 9.413520 |
| Como | 1.149700 , 9.591450 |
| Cuma | 1.203350 , 9.377650 |
| Dyeng | 1.091170 , 10.112480 |
| Ebam | 1.089570 , 9.875120 |
| Ebolobur | 1.241440 , 9.816800 |
| Ebongle | 1.159670 , 9.890720 |
| Echam | 1.216970 , 9.848680 |
| Edolo | 1.200520 , 9.910940 |
| Edyuba | 1.000090 , 9.970690 |
| Efulan | 1.059590 , 10.248250 |
| Efule | 1.087310 , 9.568430 |
| Elonasi | 1.143690 , 9.550000 |
| Emvemve | 1.051930 , 10.246150 |
| Emvila | 1.024970 , 9.955550 |
| Endembe | 1.047870 , 9.609160 |
| Eningabe | 0.985540 , 9.966970 |
| Enuc | 1.035770 , 10.039800 |
| Espana | 1.032720 , 9.937740 |
| Esua | 1.171000 , 9.814990 |
| Etogo | 1.187790 , 9.675020 |
| Euonanam | 1.178770 , 9.423740 |
| Eves | 1.214330 , 9.962410 |
| Evina | 1.250000 , 10.000000 |
| Evor | 1.050610 , 9.579480 |
| Eyameyong | 0.998570 , 9.944810 |
| Ichime | 1.299590 , 9.757470 |
| Ichime | 1.314230 , 9.762940 |
| Idolo | 1.123520 , 9.622610 |
| King | 1.111120 , 9.915150 |
| Lisboa | 1.080290 , 9.696120 |
| Macoraete | 1.166590 , 9.840800 |
| Madrid | 1.087900 , 9.693400 |
| Madyamebe | 1.131430 , 9.773670 |
| Madyap | 1.258830 , 9.775200 |
| Malancha | 1.119000 , 9.450400 |
| Malen | 1.106930 , 9.739350 |
| Mangola | 1.218040 , 9.880440 |
| Mangola | 1.107040 , 9.748460 |
| Mangone | 1.141880 , 9.895640 |
| Mangone | 1.128160 , 9.986000 |
| Manumone | 1.099920 , 9.958990 |
| Masungmening | 1.193220 , 9.885080 |
| Mavo | 1.132270 , 9.799320 |
| Mavo | 1.226840 , 9.843810 |
| Mayang | 1.165150 , 9.939950 |
| Mayang | 1.146880 , 9.924970 |
| Mbabiyegue | 1.001820 , 9.932340 |
| Mbe | 1.208350 , 9.830390 |
| Mbenam | 1.019060 , 10.056290 |
| Mbinda | 1.150100 , 9.572750 |
| Mboete | 1.109210 , 9.968720 |
| Mbola | 1.083330 , 9.850000 |
| Melongmelong | 1.233130 , 9.440870 |
| Meseng | 1.001820 , 9.907460 |
| Mfaman | 1.144280 , 9.425530 |
| Miang | 1.233330 , 10.000000 |
| Miang | 1.222550 , 10.018390 |
| Mibonde | 1.135160 , 9.805930 |
| Micha | 1.203850 , 9.858660 |
| Midyobo | 1.198480 , 10.099700 |
| Midyobo | 1.216060 , 10.122280 |
| Midyobo | 1.211650 , 10.113700 |
| Miguala | 1.095970 , 9.719480 |
| Milega | 1.197640 , 9.956390 |
| Minague | 1.003350 , 9.868800 |
| Minang | 1.153430 , 9.808980 |
| Minang | 1.150400 , 9.821230 |
| Minlom | 1.114690 , 10.241940 |
| Misegue | 1.165600 , 10.076030 |
| Misegue | 1.175350 , 10.085010 |
| Mitombo | 1.109630 , 9.776540 |
| Moconaman | 1.271840 , 9.598880 |
| Molomebe | 1.232620 , 9.819610 |
| Mosoc | 1.221460 , 10.124830 |
| Mveayong | 1.036070 , 10.242700 |
| Mveayong | 1.044140 , 10.244750 |
| Mvengayong | 1.047110 , 10.059970 |
| Mvomayoc | 1.128670 , 9.390260 |
| Mvomayoc | 1.125790 , 9.633740 |
| Nco | 1.229880 , 9.821740 |
| Ncogoekie | 1.001370 , 9.860810 |
| Ncolamvam | 1.134850 , 9.947340 |
| Ncolamvan | 1.179760 , 9.616130 |
| Ncolamvan | 1.172240 , 9.617580 |
| Ncumekie | 1.227450 , 9.835870 |
| Ndaga | 1.130820 , 9.926330 |
| Ndale | 1.000510 , 9.865640 |
| Ndyengayong | 1.163020 , 9.908830 |
| Ndyengmiang | 1.028010 , 10.047490 |
| Ndyengmiang | 1.148680 , 9.374000 |
| Ngamb | 0.966200 , 9.933570 |
| Ngonekie | 1.005550 , 9.925500 |
| Ngonekie | 1.005400 , 10.078470 |
| Nguelensoc | 1.076870 , 9.584470 |
| Nguelensoc | 1.023740 , 10.018190 |
| Noayong | 1.158900 , 9.833260 |
| Nono | 1.112410 , 9.426030 |
| Nosoc | 1.150530 , 9.457920 |
| Nsangnam | 1.134170 , 9.970390 |
| Nsangnam | 1.265750 , 9.600690 |
| Nsangnam | 1.063850 , 9.951440 |
| Nsangnan | 1.172240 , 9.464230 |
| Nsengamvoa | 1.114770 , 9.764160 |
| Nsengbeyem | 1.144980 , 9.810400 |
| Nsogobot | 1.005100 , 9.849470 |
| Ocola | 1.001520 , 9.893160 |
| Ocola | 1.141320 , 9.384250 |
| Ocula | 1.053880 , 9.960890 |
| Oduma | 1.108250 , 9.741580 |
| Oduma | 1.113630 , 9.435310 |
| Oguom | 1.088960 , 10.108750 |
| Okeva | 1.090710 , 10.118640 |
| Olop | 1.145940 , 9.561700 |
| Ondeng | 1.126170 , 9.795130 |
| Ononobere | 1.029780 , 10.025520 |
| Osonengo | 1.261600 , 9.570220 |
| Oveng | 1.150000 , 10.000000 |
| Oveng | 1.002810 , 9.913170 |
| Oyan | 1.153120 , 9.375270 |
| Oyem | 1.011820 , 10.053540 |
| Pume | 1.113400 , 9.422070 |
| Punta Yeke | 1.042780 , 9.580290 |
| San Carlos | 1.156160 , 9.409370 |
| Santa Maria | 1.188910 , 9.865960 |
| Toledo | 1.197060 , 9.620450 |
| Toledo | 1.082720 , 9.701750 |
| Vabe | 1.123510 , 9.767350 |
| Victoria | 1.095060 , 9.636370 |
| Yose | 1.165960 , 9.774610 |
Notes:
- You can download geometry data for Cogo 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 Cogo 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.