Sparse grids: a new predictive modelling method for the analysis of geographic data
We introduce in this paper a new predictive modelling method to analyse geographic data known as sparse grids. The sparse grids method has been developed for data-mining applications. It is a machine-learning approach to data analysis and has great applicability to the analysis and understanding of geographic data and processes. Sparse grids are a subset of grid-based predictive modelling approaches. The advantages they have over other grid-based methods are that they use fewer parameters and...[Show more]
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|Source:||International Journal of Geographical Information Science|
|01_Laffan_Sparse_grids:_a_new_predictive_2005.pdf||975.06 kB||Adobe PDF||Request a copy|
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