| 张华琼.安徽省县域粮食产量及生产投入要素的空间差异分析[J].安徽建筑大学学报,2022,30(): |
| 安徽省县域粮食产量及生产投入要素的空间差异分析 |
| Spatial Difference Analysis of Grain Production and Input Factors at County Level in Anhui Province: Empirical Analysis Based on GWR Model |
| 投稿时间：2021-03-06 修订日期：2021-03-29 |
| DOI： |
| 中文关键词: 空间自相关 地理加权回归 粮食产量 |
| 英文关键词: spatial auto-correlation geographical weighted regression grain yield |
| 基金项目:国家自然科学基金资助项目(71571002)；安徽建筑大学科研项目(2016QD118) |
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| 中文摘要: |
| 基于2017年安徽省县域粮食产量和生产投入要素的数据,在OLS分析基础上,运用空间自相关分析和GWR模型,探讨了研究区域内粮食产量及其影响因素的空间分布特征。结果表明：①粮食产量存在显著的空间正自相关性。②农业机械总动力、有效灌溉面积和粮食作物面积对粮食产量的影响均呈现显著的空间非平稳性,表现为同一因素对粮食产量的影响在不同县域有明显差异。③GWR模型能有效解决OLS模型中的残差的空间自相关问题,其各项评价指标均优于OLS模型。 |
| 英文摘要: |
| Based on the data of grain yield and production input factors of Anhui county in 2017 and based on OLS analysis, the spatial auto-correlation and GWR model were used to discuss the spatial distribution characteristics of grain yield and its influencing factors in the study area. The results showed that there was significant spatial positive auto-correlation in grain yield. The effects of total power of agricultural machinery, effective irrigation area and grain crop area on grain yield showed significant spatial non-stationarity. GWR model can effectively solve the problem of spatial auto-correlation of residuals in OLS model, and its evaluation indexes are better than those of OLS model. |
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