Estimating the Potential Value of Variable Rate Nitrogen Applications: A Comparison of Spatial Econometric and Geostatistical Models

Autor:	Terrance M. Hurley, Kikuo Oishi, Gary L. Malzer
Jazyk:	angličtina
Rok vydání:	2005
Předmět:	geostatistics precision agriculture site-specific crop response functions spatial autoregressive error variable rate nitrogen application Agriculture
Zdroj:	Journal of Agricultural and Resource Economics, Vol 30, Iss 2, Pp 231-249 (2005)
Druh dokumentu:	article
ISSN:	1068-5502 2327-8285
DOI:	10.22004/ag.econ.31210
Popis:	Site-specific crop response functions (SSCRFs) are useful for estimating the value of variable rate nitrogen applications (VRA), but appropriate statistical models are necessary. Problems estimating SSCRFs using experimental field data include region, spatial, treatment, and strip dependent heteroskedasticity and correlation. We develop a spatial autoregressive error (SARE) model for dealing with these problems and compare results with previous analysis based on a geostatistical (GEO) model. VRA value estimates for the two models differ notably for 1995 data from Southern Minnesota. Furthermore, findings show that the results of a comparison of model performance are location specific.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/3023b3ff2a99483aac1400a997d36a44 Zobrazit plný text záznamu View record in DOAJ