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A computational script that calculates the standarized precipitation index (spi) for latin america, using the climate hazards group infrared precipitation with station (chirps) data base and cossing the spi with two layers of spatial information: population density and land use

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dc.contributor.advisor Borbor Córdova, Mercy Julia
dc.contributor.author López Solórzano, Freddy Darwin
dc.creator Espol
dc.date.accessioned 2019-06-19T14:29:27Z
dc.date.available 2019-06-19T14:29:27Z
dc.date.issued 2019-06-19
dc.identifier.citation López Solórzano, Freddy Darwin (2018). A computational script that calculates the standarized precipitation index (spi) for latin america, using the climate hazards group infrared precipitation with station (chirps) data base and cossing the spi with two layers of spatial information: population density and land use. Trabajo final para la obtención del título: Ingeniero Oceánico Y Ambiental. Espol Facultad De Ingeniería Marítima Y Ciencias Del Mar, Guayaquil.
dc.identifier.uri http://www.dspace.espol.edu.ec/xmlui/handle/123456789/47049
dc.description This report is the culmination of a cooperative project with the Centro Internacional para la Investigación del fenomeno de “El Niño” (CIIFEN) in order to satisfy or, putting in other words, solve CIIFEN’s problem on developing the first drought tool for their Impact-based Forecast and Warning Services (IFWS) initiative for agriculture areas and population density. The problem was defined as follows: “The current CIIFEN’s drought tool, the Standardized Precipitation Index (SPI), has a spatial resolution of 1º by 1º that does not provide detail spatial information to develop an IFWS drought tools for agriculture areas and population density”.
dc.format application/pdf
dc.format.extent 34
dc.language.iso spa
dc.publisher Espol
dc.rights openAccess
dc.subject COMPUTATIONAL SCRIPT
dc.subject SPATIAL INFORMATION
dc.title A computational script that calculates the standarized precipitation index (spi) for latin america, using the climate hazards group infrared precipitation with station (chirps) data base and cossing the spi with two layers of spatial information: population density and land use
dc.type bachelorThesis
dc.identifier.codigoespol D-CD109375
dc.description.city Guayaquil
dc.description.degree Ingeniero Oceánico Y Ambiental.


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