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Geographically weighted regression estimation of the linear response and plateau function
Precision Agriculture ( IF 5.4 ) Pub Date : 2021-09-07 , DOI: 10.1007/s11119-021-09841-8
Dayton M. Lambert 1 , Whoi Cho 1
Affiliation  

The objective of this paper is to modify the linear geographically weighted regression (GWR) estimator to accommodate the discontinuous join point, or “knot”, of the linear response with plateau (LRP). This is the first application to estimate a LRP site-specific crop response function (SSCRF) model with GWR. The data used in this heuristic application are from a variable rate nitrogen (VRN) trial for corn. Results from a partial budget comparison of uniform and VRN management are sensitive with respect to the choice of kernel used to weight yield observations. Challenges remain with respect to the availability and cost of equipment required to implement precision fertilizer recommendations based on spatially varying SSCRF. Ex post spatial cluster analysis of site-specific fertilizer prescriptions may be one approach for simplifying complex application maps into larger management units.



中文翻译:

线性响应和平台函数的地理加权回归估计

本文的目的是修改线性地理加权回归 (GWR) 估计量,以适应​​具有平台的线性响应 (LRP) 的不连续连接点或“结”。这是第一个使用 GWR 估计 LRP 站点特定作物响应函数 (SSCRF) 模型的应用程序。此启发式应用程序中使用的数据来自玉米的可变速率氮 (VRN) 试验。统一管理和 VRN 管理的部分预算比较结果对于用于加权产量观察的内核选择很敏感。实施基于空间变化 SSCRF 的精确施肥建议所需设备的可用性和成本方面仍然存在挑战。

更新日期:2021-09-08
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