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Creating a synthetic landscape: Spatial allocation of non-spatial single farm data

Sandra Uthes and Joachim Kiesel

Agricultural Systems, 2020, vol. 177, issue C

Abstract: Spatially explicit farm data are often not available for farm level studies and models, limiting the accuracy of simulating environmental impacts and posing limitations to agent-based models that simulate spatial decisions under explicit consideration of neighborhood effects (e.g. as on a land market). For large regions, such as the whole EU, different approaches have been developed to address this problem, e.g. by downscaling economic model results to lower-level administrative regions or by spatially allocating farm types to homogenous spatial entities. For smaller regions and if interactions between farms have to be considered, these approaches are too coarse.

Keywords: Spatial allocation; IACS; FADN; Bio-economic farm modeling; Agent-based modeling (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:177:y:2020:i:c:s0308521x19303105

DOI: 10.1016/j.agsy.2019.102740

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