Weather Indicators and Crop Yields Analysis with Wavelets

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/13143 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/13143 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/13143 archive 351 disk0/00/00/84/19 2016-01-15 08:40:27 2021-08-27 17:20:09 2016-01-15 08:40:27 monograph show 2 Kozlowski B. 8182 Weather Indicators and Crop Yields Analysis with Wavelets pub iis_cli iis_fag iis_mod prog_ime Trend analysis; Seasonality identification; Forecasting; Impact; Crop yields; Weather factors; Wavelet transform; Haar basic wavelet function This paper presents a case study and methods for trend and periodicity identification and for forecasting which are useful for determining the impact of weather factors to crop yields. These methods combine standard approaches with wavelet analysis in order to improve the results. Hence, a brief introduction to wavelet theory is included. All analyses provided in this research are conducted on United States weather and crop yields data. Where applicable, the results obtained with the use of standard methods are compared with those which are enforced by application of the wavelet transform, illustrated with examples, and evaluated. 2007-12 published IR-07-038 IR-07-038 1389 public interim_report IIASA, Laxenburg, Austria 29 FALSE info:eu-repo/semantics/book