kml toolbox tests

kml.plot

plot test

plot3 test

kml.point

kml.poly

Aba[Nigeria]

Abidjan[Ivory Coast]

Abuja[Nigeria]

Accra[Ghana]

Addis Abeba[Ethiopia]

Agra[India]

Ahmadabad[India]

al-Basrah[Iraq]

Aleppo[Syria]

Alexandria[Egypt]

Algiers[Algeria]

al-Mawsil[Iraq]

Ankara[Turkey]

Antananarivo[Madagascar]

Bagdad[Iraq]

Bamako[Mali]

Bandung[Indonesia]

Bangalore[India]

Bangkok[Thailand]

Barcelona[Spain]

Bayrut[Lebanon]

Bekasi[Indonesia]

Belo Horizonte[Brazil]

Benin[Nigeria]

Berlin[Germany]

Bhopal[India]

Bogotá[Colombia]

Bombay[India]

Brasília[Brazil]

Brazzaville[Congo]

Brisbane[Australia]

Bucharest[Romania]

Budapest[Hungary]

Buenos Aires[Argentina]

Bursa[Turkey]

Cairo[Egypt]

Calcutta[India]

Cali[Colombia]

Cape Town[South Africa]

Caracas[Venezuela]

Casablanca[Morocco]

Changchun[China]

Changsha[China]

Chattagam[Bangladesh]

Chengdu[China]

Chicago[United States of America]

Chongqing[China]

Ciudad de México[Mexico]

Conakry[Guinea]

Curitiba[Brazil]

Dakar[Senegal]

Dalian[China]

Damascus[Syria]

Dar es Salaam[Tanzania]

Davao[Philippines]

Delhi[India]

Depok[Indonesia]

Dhaka[Bangladesh]

Douala[Cameroon]

Dubai[United Arab Emirates]

Durban[South Africa]

Ecatepec de Morelos[Mexico]

Esfahan[Iran]

Faisalabad[Pakistan]

Faridabad[India]

Fortaleza[Brazil]

Ghaziabad[India]

Gizeh[Egypt]

Guangzhou[China]

Guayaquil[Ecuador]

Hamburg[Germany]

Hangzhou[China]

Harare[Zimbabwe]

Harbin[China]

Havanna[Cuba]

Ho Chi Minh City[Vietnam]

Houston[United States of America]

Hyderabad[India]

Ibadan[Nigeria]

Inchon[Korea (South)]

Indore[India]

Istanbul[Turkey]

Izmir[Turkey]

Jaipur[India]

Jakarta[Indonesia]

Jiddah[Saudi Arabia]

Jilin[China]

Jinan[China]

Jiulong[China]

Johannesburg[South Africa]

Kabul[Afghanistan]

Kaduna[Nigeria]

Kampala[Uganda]

Kano[Nigeria]

Kanpur[India]

Karachi[Pakistan]

Karaj[Iran]

Khartoum[Sudan]

Kiev[Ukraine]

Kinshasa[Congo (Dem. Rep.)]

Kobe[Japan]

Kuala Lumpur[Malaysia]

Kumasi[Ghana]

Lagos[Nigeria]

Lahore[Pakistan]

Lakhnau[India]

Lima[Peru]

Lomé[Togo]

London[United Kingdom]

Los Angeles[United States of America]

Luanda[Angola]

Lubumbashi[Congo (Dem. Rep.)]

Ludhiana[India]

Madras[India]

Madrid[Spain]

Manaus[Brazil]

Mandalay[Myanmar]

Manila[Philippines]

Maracaibo[Venezuela]

Mashhad[Iran]

Mbuji-Mayi[Congo (Dem. Rep.)]

Medan[Indonesia]

Medellín[Colombia]

Melbourne[Australia]

Minsk[Belarus]

Montreal[Canada]

Moscow[Russia]

Muqdisho[Somalia]

Nagoya[Japan]

Nagpur[India]

Nairobi[Kenya]

Nanchang[China]

Nanjing[China]

Narayanganj[Bangladesh]

Nashik[India]

New York[United States of America]

Osaka[Japan]

Ouagadougou[Burkina Faso]

Paris[France]

Patna[India]

Peking[China]

Pimpri[India]

Port Harcourt[Nigeria]

Pretoria[South Africa]

Pune[India]

Pusan[Korea (South)]

Pyongyang[Korea (North)]

Qingdao[China]

Quito[Ecuador]

Rabat[Morocco]

Rajkot[India]

Rangoon[Myanmar]

Recife[Brazil]

Rio de Janeiro[Brazil]

Riyadh[Saudi Arabia]

Rome[Italy]

Rongcheng[China]

Saint Petersburg[Russia]

Salvador[Brazil]

San'a[Yemen]

Santa Cruz[Bolivia]

Santiago[Chile]

Santo Domingo[Dominican Republic]

São Paulo[Brazil]

Sapporo[Japan]

Semarang[Indonesia]

Shanghai[China]

Shenyang[China]

Shijiazhuang[China]

Singapore[Singapore]

Soul[Korea (South)]

Soweto[South Africa]

Surabaya[Indonesia]

Surat[India]

Suzhou[China]

Sydney[Australia]

Taegu[Korea (South)]

Táibei[Taiwan]

Taiyuan[China]

Tangerang[Indonesia]

Tangshan[China]

Tashkent[Uzbekistan]

Tehran[Iran]

Thana[India]

Tianjin[China]

Tokyo[Japan]

Toronto[Canada]

Umm Durman[Sudan]

Urumqi[China]

Vadodara[India]

Valencia[Venezuela]

Vancouver[Canada]

Vienna[Austria]

Warsaw[Poland]

Wuhan[China]

Xian[China]

Xinyang[China]

Yaoundé[Cameroon]

Yokohama[Japan]

Zhengzhou[China]

kml.scatter

kml.text

Lat -80° Long 0°

Lat -80° Long 20°

Lat -80° Long 40°

Lat 0° Long -180°

Lat 0° Long -160°

Lat 0° Long -140°

Lat 0° Long 0°

Lat 0° Long 20°

Lat 0° Long 40°

kml.model

kml.overlay

oldest little Eddins

MTW dog 1

MTW dog 2

Hilbert matrix

MTW old logo

the number

a Siamese magic square

youngest little Eddins

Melancolia, by Albrecht Durer

8-bits still rules

... on the art of MATLAB

Wilkinson, Givens & Forsythe

and the big Eddins

the original was always there

o porco amarelo, mas não o do CAASO

kml.transfer