Abstract
The proliferation and dissemination of digital spatial databases, coupled with the ever wider use of Geographic Information Systems [GIS] and Remote Sensing [RS] data, is stimulating increasing interest in spatial analysis from outside the spatial sciences. The recognition of the spatial dimension in social science research sometimes yields different and more meaningful results than analysis that ignores it.
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© 2001 Springer-Verlag Berlin Heidelberg
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Fischer, M.M. (2001). Computational Neural Networks — Tools for Spatial Data Analysis. In: Fischer, M.M., Leung, Y. (eds) GeoComputational Modelling. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04637-1_2
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DOI: https://doi.org/10.1007/978-3-662-04637-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07549-0
Online ISBN: 978-3-662-04637-1
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