Pahmeyer Christoph, Schäfer David, Kuhn Till, Britz Wolfgang
Institute for Food and Resource Economics, University of Bonn, D-53115 Bonn, Germany.
Bioeconomy Science Center (BioSC), Forschungszentrum Jülich, D-52428 Jülich, Germany.
Data Brief. 2021 Mar 27;36:107007. doi: 10.1016/j.dib.2021.107007. eCollection 2021 Jun.
Farm-scale and agent-based models draw typically on detailed and preferably spatially explicit single farm data. Data protection standards however restrict or exclude their access, as for example in Germany. We provide data on a synthetic farm population of the German federal state of North Rhine-Westphalia, mainly based on the German Farm Structure Survey 2016 and plot specific crop data from 2019/2020. The population is derived from farm typology at administrative unit level to which the observed plots are allocated afterwards. The data contains 25,858 farms and covers 1.3 million ha of agricultural land, provided at plot scale in a geospatial vector and at farm scale in tabular format. For each plot, the managing farm (including the estimated farm's location), the number of livestock, the cultivated crop, as well as the corresponding administration units are indicated. Furthermore, spatial data such as yield information, soil characteristics, as well as monitoring data on environmental status are attached. The provided data allows for diverse analysis on the farm population in the federal state of North Rhine-Westphalia with farm, agent-based or different bio-physical models. Furthermore, it can serve as a test data set for models which require detailed and spatially explicit farm data.
农场规模模型和基于主体的模型通常依赖详细且最好具有空间明确性的单个农场数据。然而，数据保护标准限制或排除了对这些数据的访问，例如在德国。我们提供了德国北莱茵 - 威斯特法伦州一个合成农场群体的数据，主要基于2016年德国农场结构调查以及2019/2020年特定地块的作物数据。该群体数据源自行政单位层面的农场类型划分，之后将观测地块分配到相应类型中。数据包含25,858个农场，覆盖130万公顷农业用地，以地理空间矢量的地块尺度和表格形式的农场尺度提供。对于每个地块，都标明了管理农场（包括估计的农场位置）、牲畜数量、种植作物以及相应的行政单位。此外，还附加了诸如产量信息、土壤特征等空间数据以及环境状况监测数据。所提供的数据可用于使用农场模型、基于主体的模型或不同生物物理模型对北莱茵 - 威斯特法伦州的农场群体进行各种分析。此外，它还可以作为需要详细且具有空间明确性的农场数据的模型的测试数据集。
