1990年至2018年的欧盟年度概率作物类型地图的数据集
Josef Baumert1, Thomas Heckelei1, Hugo Storm1
1Institute for Food and Resource Economics, University of Bonn, Meckenheimer Allee 174, 53115 Bonn, Germany.
Data in brief
|April 11, 2025
概括
我们为欧盟 (EU) 创建了1990-2018年期间的概率作物类型地图. 这些地图以1公里分辨率显示了25种作物份额,反映了农民的决定和环境建模的区域数据.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 地理空间分析的研究.
背景情况:
- 准确的作物分布数据对于环境和农业政策至关重要.
- 之前的方法缺乏空间细节和不确定性量化作物绘图.
- 了解长期农业生产变化需要高分辨率的历史数据.
研究的目的:
- 为欧洲联盟 (欧盟) 从1990年到2018年开发和提供概率作物类型地图.
- 将农民的作物选择与环境条件和区域面积数据联系起来.
- 在作物份额映射中量化和表示估计不确定性.
主要方法:
- 开发了一个数据生成过程模型,将田间水平的作物概率与区域统计数据联系起来.
- 综合环境条件和区域作物面积数据用于空间绘制.
- 每年/国家生成一组100张概率地图,以捕捉不确定性.
主要成果:
- 在欧盟范围内 (1990-2018) 为25种作物类型提供1公里分辨率的作物份额地图.
- 保证的作物份额估计与区域/国家农业统计数据一致.
- 提供了概率组合和点估计 (最可能的作物份额).
结论:
- 概率地图可以在环境和农业建模中进行可靠的不确定性分析.
- 该数据集支持对30年来对欧盟农业的政策,经济和环境影响的评估.
- 该资源有助于研究人员,政策制定者和利益相关者了解农业动态.
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