Data Scarcity or low Representativeness?: What hinders accuracy and precision of spatial interpolation of climate data?
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Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/98487
comunitat-uji-handle4:
AGILEMetadatos
Título
Data Scarcity or low Representativeness?: What hinders accuracy and precision of spatial interpolation of climate data?Otras autorías
Huerta Guijarro, Joaquín; Schade, Sven; Granell Canut, CarlosFecha de Publicación
2014-06Resumen
Data scarcity is a major scientific challenge for accuracy and precision of spatial interpolation of climatic fields, especially in climatestressed
developing countries. Methodologies have been suggested for coping ... [+]
Data scarcity is a major scientific challenge for accuracy and precision of spatial interpolation of climatic fields, especially in climatestressed
developing countries. Methodologies have been suggested for coping up with data scarcity but data have rarely been checked for
their representativeness of corresponding climatic fields. Here, influences of number and representativeness of climate data on accuracy and
precision of their spatial interpolation were investigated and compared. Two precipitation and temperature indices were computed for a long
time series in Bangladesh, which is a data scarce region. The representativeness was quantified by dispersion in the data and the accuracy
and precision of spatial interpolation were computed by four commonly used error statistics derived through cross-validation. The
precipitation data showed very little and sometimes null representativeness whereas the temperature data showed very high
representativeness of the corresponding fields. Consequently, interpolated precipitation surfaces showed little accuracy and precision
whereas temperature surfaces showed high accuracy and precision despite the scarce data. The results indicate that representativeness of
climate data, i.e. variability of climate phenomenon, is more crucial than the number of data for accuracy and precision of spatial
interpolation and should be treated with higher importance. [-]
Descripción
Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science
"Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 ... [+]
Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science
"Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014. [-]
Palabras clave / Materias
Publicado en
Huerta, Schade, Granell (Eds): Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science, Castellón, June, 3-6, 2014. ISBN: 978-90-816960-4-3ISBN
9789081696043Tipo de documento
info:eu-repo/semantics/bookPartEditor
AGILE Digital EditionsDerechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess