Economic Commission for Latin America and The

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Economic Commission for Latin America and The

110 100 90 80 ° ° ° ° ECONOMIC COMMISSION FOR UNITED STATES OF AMERICA LATIN AMERICA AND THE CARIBBEAN 30° 30° Nassau Gulf of Mexico BAHAMAS La Habana Turks and ATLANTIC OCEAN CUBA Caicos Is. DOMINICAN co MEXICO i Is. REPUBLIC R gin to ir rgin I Cayman Is. r V Vi s. e S ish HAITI u it Mexico Kingston P U r P B 20 20° S ANTIGUA AND ° o a r JAMAICA t n BARBUDA BELIZE - SAINT KITTS a to Montserrat Belmopan u AND NEVIS D -P o Guadeloupe r m HONDURAS Caribbean Sea in in DOMINICA Martinique Guatemala ce go Tegucigalpa SAINT LUCIA GUATEMALA Netherlands BARBADOS NICARAGUA Aruba Antilles R r GRENADA SAINT VINCENT AND o Managua O d THE GRENADINES D a VA lv Port of Spain L a TRINIDAD AND SA n S San José EL Sa PANAMA Caracas TOBAGO COSTA RICA 10 Panamá town 10 ° rge ° VENEZUELA eo Medellín G G SURINAME Santa Fé U Paramaribo de Bogotá Y French Guiana A Cayenne N COLOMBIA A Equator Quito 0 ECUADOR 0 ° Galapagos Is. ° Guayaquil Manaus Belém PERU Recife BRAZIL 10° Lima 10° PACIFIC OCEAN La Paz Brasília BOLIVIA Sucre P 20 AR 20 ° A ° G U São Paulo A Rio de Janeiro Y Isla San Félix Asunción 100° 90° Isla San Ambrosio Members: Antigua and Barbuda Honduras Argentina Italy 30° Bahamas Jamaica Barbados Mexico Islas 30° Belize Netherlands Juan Fernãndez A Santiago N URUGUAY Bolivia Nicaragua ECLAC HQ I Brazil Panama T Buenos Aires Montevideo Canada Paraguay N Chile Peru E Colombia Portugal E G Costa Rica Saint Kitts and Nevis R L Cuba Saint Lucia 40° I A Dominica Saint Vincent and the Dominican Republic Grenadines H 40 Ecuador Spain ° C El Salvador Suriname 40 30 50 France Trinidad and Tobago ° ° ° Grenada United Kingdom l Capital city Guatemala United States of America The boundaries and names shown and the designations used Guyana Uruguay on this map do not imply official endorsement or acceptance Haiti Venezuela by the United Nations. 50 Falkland Islands ° (Islas Malvinas) Associate members: 0 500 1000 1500 2000 km Aruba Netherlands Antilles British Virgin Islands Puerto Rico Montserrat United States Virgin Islands 0 500 1000 mi 80 70 60 50 ° ° ° ° Map No. 3977 Rev. 3 UNITED NATIONS Department of Peacekeeping Operations July 2004 Cartographic Section.

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Analysing the Influence of African Dust Storms on the Prevalence of Coral Disease in the Caribbean Sea Using Remote Sensing and Association Rule Data Mining
International Journal of Remote Sensing ISSN: 0143-1161 (Print) 1366-5901 (Online) Journal homepage: http://www.tandfonline.com/loi/tres20 Analysing the influence of African dust storms on the prevalence of coral disease in the Caribbean Sea using remote sensing and association rule data mining Heather Hunter & Guido Cervone To cite this article: Heather Hunter & Guido Cervone (2017) Analysing the influence of African dust storms on the prevalence of coral disease in the Caribbean Sea using remote sensing and association rule data mining, International Journal of Remote Sensing, 38:6, 1494-1521 To link to this article: http://dx.doi.org/10.1080/01431161.2016.1277279 Published online: 31 Jan 2017. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tres20 Download by: [Pennsylvania State University] Date: 31 January 2017, At: 12:46 INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017 VOL. 38, NO. 6, 1494–1521 http://dx.doi.org/10.1080/01431161.2016.1277279 Analysing the inﬂuence of African dust storms on the prevalence of coral disease in the Caribbean Sea using remote sensing and association rule data mining Heather Hunter a and Guido Cervone b,c aDepartment of Applied Marine Physics, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, USA; bDepartment of Geography and Institute for CyberScience, Pennsylvania State University, University Park, PA, USA; cLamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA ABSTRACT ARTICLE HISTORY The application of an association rule data mining algorithm is Received 29 July 2016 described to combine remote sensing and in-situ geophysical data Accepted 22 December 2016 to show a relationship between African dust storms, Caribbean climate, and Caribbean coral disease.
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