Synthetic farm population of the German Federal State of North Rhine-Westphalia

We provide data on a synthetic farm population of the German Federal State of North Rhine-Westphalia, mainly relying on the German Farm Structure Survey 2016 and plot specific crop data from 2019/2020. The dataset is provided at plot scale in a geospatial vector as well as at farm scale in tabular format. For each plot in the state, the belonging farm (including the estimated farm’s location), animal stock, cultivated crop, as well as the corresponding administration units are indicated. The geospatial vector data is combined with further spatial data such as yield information, soil characteristics, or monitoring data on environmental status. The provided data enables to run diverse analysis on the farm population in the Federal state of North Rhine Westphalia with farm and agent-based models. Furthermore, it can serve as a case study application for testing model developments which require detailed and spatially explicit farm data.

本数据集面向德国联邦州北莱茵-威斯特伐利亚（North Rhine-Westphalia）的合成农场群体，主要基于2016年德国农场结构调查（German Farm Structure Survey 2016）与2019/2020年的地块级作物数据构建。数据集提供两类数据格式：地块级地理空间矢量数据，以及农场级表格格式数据。针对该州内的每一块地块，数据集均标注了其所属农场（含估算的农场位置）、牲畜存栏量、种植作物类型以及对应的行政单元信息。地理空间矢量数据还融合了产量信息、土壤特性、环境状态监测数据等多类空间辅助数据。依托本数据集，可结合农场模型与基于智能体的模型，针对北莱茵-威斯特伐利亚州的农场群体开展多样化分析研究。此外，该数据集可作为案例研究载体，用于测试需要精细空间显式农场数据的模型开发工作。