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A Comparison of Index‐Based and Pixel‐Based Neighborhood Simulations of Forest Growth
Author(s) -
Armstrong Robert A.
Publication year - 1993
Publication title -
ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.144
H-Index - 294
eISSN - 1939-9170
pISSN - 0012-9658
DOI - 10.2307/1939929
Subject(s) - implementation , pixel , index (typography) , computer science , crowding , ecology , econometrics , artificial intelligence , mathematics , biology , neuroscience , world wide web , programming language
In simulations, the computational method chosen to implement a model can critically affect quantitative results. Here I show that two reasonable implementations of a neighborhood model of plant growth produce predictions that differ quantitatively in several important respects. I conclude that for modelling forest canopies, pixel—based implementations should prove superior to implementations that are based on indices of neighborhood crowding.