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This paper explores the challenge of defining the scope of a systems model, emphasising three aspects: boundary, granularity and conceptual scope. The significance of these is illustrated by reference to a model of land-use decisions made in villages bordering on the Mafungautsi forest in zimbabw...


Haggith, M.Prabhu, R.Mudavanhu, H.Matose, F.Mutimukuru, T.Nyirenda, R.Standa-Gunda, W.[The challenge of effective model scoping: a FLORES case study from the Mafungausti forest margins, Zimbabwe]The challenge of effective model scoping: a FLORES case study from the Mafungausti forest margins, Zimbabwe

FLORES (the Forest Land Oriented Resource Envisioning System) was initially constructred by 50 people during a multidisciplinary workshop in Bukittinggi, Sumatra, in 1999. It proved that a model of a complex system could be constructed in a participatory way by a diverse team; that it could be do...


Vanclay, J.K.Haggith, M.Colfer, C.J.P.[Participation and model-building: lessons learned from the Bukittinggi workshop]Participation and model-building: lessons learned from the Bukittinggi workshop

Zimbabwe Forest Land Oriented Resource Envisioning System (ZimFlores) version 4 is the outcome of a participatory modelling process and seeks to provide a shared factual basis for exploring land-use options for the communal lands surrounding the Mafungautsi forest. The ZimFlores experience unders...


Prabhu, R.Haggith, M.Mudavanhu, H.Muetzelfeldt, R.Standa-Gunda, W.Vanclay, J.K.[ZimFlores: a model to advice co-management of the Mafungautsi forest in zimbabwe]ZimFlores: a model to advice co-management of the Mafungautsi forest in zimbabwe

Idealisation is the process of finding simple representations of the real-world whilst conceptualising a model. There are three ways to limit complication in a model of a complex real-world: by focussing the scope of the modelling process onto a clearly defined issue; by idealising elements of th...


Haggith, M.Prabhu, R.[Unlocking complexity: the importance of idealisation in simulation modelling]Unlocking complexity: the importance of idealisation in simulation modelling

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