Quoted from: https://link.springer.com/article/10.1007/s10980-009-9355-7 Verburg, P.H. and Overmars, K.P., 2009. Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landscape ecology, 24(9), p.1167.

The model is an adapted version of the CLUE-s model (Castella and Verburg 2007; Verburg et al. 2002) which is based on the spatial allocation of demands for different land use types to individual grid cells. The version presented in this paper (Dynamic Conversion of Land Use and its Effects model: Dyna-CLUE version 2.0) combines the top-down allocation of land use change to grid cells with a bottom-up determination of conversions for specific land use transitions. The analysis starts by grouping the land use types into two groups: those that are driven by demand at the regional level and those for which no aggregate demand at the regional level can be determined. In many applications, the demands can be specified for urban and agricultural land uses (including production forest) while no specific demand can be determined for the (semi-) natural land cover. The land cover types for which no demand can be specified are grouped into one, new, category for which the aggregate change in area results from the dynamics of the other land use types, i.e., the overall change in area of this new category corresponds to the net change in the demand-driven land use types (Fig. 1).

Overview of the inputs to the land allocation module of the Dyna-CLUE model