[HTML][HTML] Climate zonation in Puerto Rico based on principal components analysis and an artificial neural network
BA Malmgren, A Winter - Journal of climate, 1999 - journals.ametsoc.org
Journal of climate, 1999•journals.ametsoc.org
… We analyzed 31-yr means (1960–90) of seasonal precipitation, and maximum, mean,
and minimum temperature data at each of these stations in order to determine whether any
distinct geographic zones marked by climatically similar conditions may be identified in
Puerto Rico during this interval of time. We employed R-mode principal components
analysis with varimax rotation together with an artificial neural network algorithm (a self-organizing
map) to assess the existence of natural clusters in these data. Several recent studies have …
and minimum temperature data at each of these stations in order to determine whether any
distinct geographic zones marked by climatically similar conditions may be identified in
Puerto Rico during this interval of time. We employed R-mode principal components
analysis with varimax rotation together with an artificial neural network algorithm (a self-organizing
map) to assess the existence of natural clusters in these data. Several recent studies have …
Baldwin, JL, DN Otte, and CL Wheatley, 1989: Computer emulation of human mental process: Application of neural network simulations to problems in well log interpretation. SPEJ, Soc. Pet. Eng. J., 19619, 481–493.
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