Interpolation techniques for climate variables
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TextLanguage: English Series: CIMMYT NRG-GIS Series ; 99-01Publication details: Mexico : CIMMYT, 1999.Description: 26 pagesSubject(s): Online resources: Summary: 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|---|
| Book | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Publications Collection | CIMMYT NRG-GIS / No. 99-01 (Browse shelf(Opens below)) | 1 | Available | Look under series title | 628967 | |||
| Book | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Publications Collection | CIMMYT NRG-GIS / No. 99-01 (Browse shelf(Opens below)) | 2 | Available | Look under series title | 642199 |
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| CIMMYT NRG-GIS / No. 03-01 C.2 Modeling temperature response in wheat and maize | CIMMYT NRG-GIS / No. 98-01. An agroclimatological overview of wheat production regions of Bolivia | CIMMYT NRG-GIS / No. 98-01. An agroclimatological overview of wheat production regions of Bolivia | CIMMYT NRG-GIS / No. 99-01 Interpolation techniques for climate variables | CIMMYT NRG-GIS / No. 99-01 Interpolation techniques for climate variables | CIMMYT NRG-GIS / No. 99-02. Analysis of maize production in Honduras : linking census data to environment variables through geographic information systems | CIMMYT NRG-GIS / No. 99-02. Analysis of maize production in Honduras : linking census data to environment variables through geographic information systems |
Open Access
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.
Text in English
LSLinks|9912|AGRIS 0001|R99-00CIMPU|EE|DSpace 1
CIMMYT Publications Collection
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