Script for re-creating the location of farms from non-spatial data

This data set contains files that are necessary for farm allocation method. They accompany the article “Re-creating the location of farms from non-spatial data: spatial allocation of single farm data” (authors: Sandra Uthes, Joachim Kiesel), submitted to the journal Agricultural Systems. The allocation methods was developed for modelling tasks requiring spatially-explicit farm locations, for example, to simulate land market decisions. Usually spatially-explicit farm data is not available for reasons of data protection and only farm typology data with aggregated spatial information (such as the share of arable land or the mean soil fertility of the farm) is at hand. Our method considers several landscape parameters for the allocation of farms, using a fine resolution (25m*25m) and introducing allocation quality indicators that allow for an assessment of the overall allocation result. The approach is implemented in the Geographical Information System (GIS) ArcInfo/ArcGIS by ESRI using the tools and script language (AML) offered by this software and operated on a BS Solares Unix Server.

本数据集包含农场布局方法所需的全部配套文件，与投稿至《农业系统（Agricultural Systems）》期刊的论文《Re-creating the location of farms from non-spatial data: spatial allocation of single farm data》（作者：Sandra Uthes、Joachim Kiesel）配套。该布局方法专为需要空间显式农场位置的建模任务开发，可用于模拟土地市场决策等场景。受数据保护法规限制，通常无法获取空间显式的农场数据，仅能获得带有聚合空间信息的农场类型学数据（例如耕地占比、农场平均土壤肥力等）。本方法在农场布局过程中纳入多项景观参数，采用25米×25米的高精度空间分辨率，并引入布局质量指标以评估整体布局效果。本方法依托ESRI公司推出的地理信息系统（Geographical Information System，GIS）ArcInfo/ArcGIS平台，利用该软件提供的工具与脚本语言AML实现，并部署于BS Solares Unix服务器运行。