model_structure.Rmd
To structure and dimensions of SPAMc are defined by the combination of predefined number of crops and farming systems, and several parameters that are set by the user. Changing these parameters
The number of crops and farming systems are similar to those used by SPAM
SPAMc models 40 different crop (and crop groups) that together cover the full agricultural sector and are each identified by a four letter code (Table 1).1 The main reason for this classification is the limited availability of crop-specific biophysical suitability maps, which form a key element in the crop allocation process (see spatial data for more information). It would be relatively easy to add new crops by splitting them off from broader crop groups (e.g. tropical and temperate fruits, and vegetables) if appropriate agricultural statistics and suitability maps would be available. We plan to add an example on how to do this in future updates. The actual number of crops in the model is determined by the number of crops that are actually grown in the target country and identified by the availability of national statistics.
# Add 40 crop table
Year. Relevant to select matching spatial information that is available for multiple years, in particular cropland exent, population and travel time (see spatial data.
Solve = 0 and solve = 1
Wood-Sichra, Ulrike, Alison B. Joglekar, and Liangzhi You. 2016. “Spatial Producion Allocation Model (SPAM) 2005: Technical Documentation.” Harvest Choice Working Paper. Washington, D.C.: International Food Policy Research (IFPRI).
Global SPAM uses 42 different crops because it includes two types of millet and two types of coffee (Wood-Sichra, Joglekar, and You 2016). As this level of detail is not supported by most national statistics and FAOSTAT, the have been merged into millet and coffee, respectively.↩