Calibrating and validating the Land Use Scanner algorithms
نویسندگان
چکیده
The Land Use Scanner is a spatial model that simulates future land use. Since its development in 1997 it has been applied in many policy-related land use projects. In 2005 a completely revised version became available. In this version land use can be modelled at a more detailed 100 meter resolution as opposed to the original 500 meter resolution. Furthermore the new version offers the possibility to model homogenous cells that offer a discrete description of land use, in stead of the original continuous description that listed the fraction claimed by different types of land use in each cell. In this paper we describe the calibration and validation of the two modelling approaches available in the Land Use Scanner model. We used multinomial logistic regression methods to obtain the suitability values for the different land-use types. The resulting simulations are then compared to the observed land use in the base year (calibration) and a future year (validation).
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