My idea is to simulate highly forested landscapes from 2010 to 2050. I have done spatio-temporal change analysis from 1973 to 2010. I want to model by accounting the change rate and project it to 2050.
Hi, (1) about the modelling of the landscape transition simulation, It depend of your conceptual approach: structural, systemic, etc. (2) conserning the extropolation of the forest change to 2050, you have some model made the USDA (http://www.fs.fed.us/fmsc/fvs/) or the University of Nice : AFFORSIM Simulation models depending of your approach and the analysis concepts that you are using.
Because you mention landscape transitions, I assume you are interested in high resolution transitions within a small region (country or so). To do this, one of the most widely used model is the CLUE-S model from Peter Verburg. Just Google it and the model is available publicly. However, this requires information on how socioeconomic and biophysical conditions change within the study region for the future period. If you just want to prorate based on rates of change, there are a separate set of models purely based on statistics.
The short answer is YES. There are a number of widely accepted models that are readily available.
1. As one of the developers of an earlier version of the model, I would also recommend the CLUE-s model. I am not 100% sure that a running version is still available, but that is easy to find out. CLUE can deal with most type of land use changes.
2. GEOMOD (part of the freely available IDRISI software) is a simpler, yet sometimes good enough model.
3. If your interest is specifically in deforestation models, DINAMICA (although I think it is called differently now) might be good. It is developed for Brazil and does a good job on particularly the influences of roads.
Hi, Bharath. I know one developed in Brazil, the DINAMIC EGO. It is a very friendly platform created for studies of land-use change in the Amazon but has been adopted in different approaches and in many places in the world. I'm using it now for a study about decision making, from a multi-agent system perspective. I recommend it. Here the link: http://csr.ufmg.br/dinamica/.