Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica

By J. Cornell, C. Hall. 2001

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Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools (2012, methodology): “In the second phase, we use the aggregate amounts and simulate their spatial distribution using a spatially explicit grid-based landchange model (44), which uses slope, distance to roads, population density, and land cover as the primary drivers of land change.”
Spatial autocorrelation in multi-scale land use models (2003, methodology): “Examples of statistical approaches in gridded spatial data are CLUE (Veldkamp et al., 2001; Verburg et al., 2002) and GEOMOD ( Pontius et al., 2001 ).”
Agricultural land abandonment and natural forest re-growth in the Swiss mountains: A spatially explicit economic analysis (2007, background): “The characteristics of the locations where land-use changes have occurred are typically referred to as the ‘‘spatial pattern of land-use change’’ (Pontius et al., 2001).”
Land use change modelling: current practice and research priorities (2004, methodology): “Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica.”
Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China (2015, methodology): “The Kappa statistic, which can reflect the simulation accuracy of the model, was used as the validation method to evaluate the ability of the model to simulate the spatial pattern of land use [39].”