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Interpolation techniques for climate variables

Autor: Hartkamp, A.D.
Autor: De Beurs, K.
Autor: Stein, A.
Autor: White, J.W.
Año: 1999
ISSN: 1405-7484
URI: http://hdl.handle.net/10883/988
Descripción: Agriculture
Descripción: Resource management
Descripción: Statistical methods
Descripción: Climatic factors
Descripción: Meteorological observations
Descripción: Research
Descripción: Jalisco
Descripción: Weather data
Descripción: Precipitation
Descripción: Climatic change
Descripción: Mexico
Descripción: Natural resources
Resumen: This paper examines statistical approaches for interpolating climatic data over large regions., providing a brief introduction to interpolation techniques for climate variables of use in agricultural research, as well as general recommendations for future research to assess interpolation techniques. Three approaches 1) inverse distance weighted averaging (IDWA), 2)thin plate smoothing splines and 3) co-kriging were evaluated for a 2,000 km2 square area covering the state of Jalisco, México. Taking into account valued error prediction, data assumptions, and computational simplicity, we recommend use of thin-plate smoothing splines for interpolating climate variables.
Lenguaje: English
Editor: CIMMYT
Nombre de la Serie: CIMMYT NRG-GIS Series
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the sutable license for that purpose.
Tipo: Books and monographs
Lugar: Mexico, DF (Mexico)
Paginas: 26 pags
Serie número: No. 99-01


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