Abstract
Spatial data classification has long been a major field of research in geographical analysis. Regardless of whether we are classifying statistical data into socioeconomic patterns or remotely sensed data into land covers, our classification task is to group high dimensional data into separate clusters which represent distinguishable spatial features or patterns.
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Leung, Y. (1997). Feedforward Neural Network Models for Spatial Data Classification and Rule Learning. In: Fischer, M.M., Getis, A. (eds) Recent Developments in Spatial Analysis. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03499-6_17
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DOI: https://doi.org/10.1007/978-3-662-03499-6_17
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