Isolating Spatial Autocorrelation, Aggregation Bias, and Distributional Violations in Ecological Inference: Comment on Anselin and Cho

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Isolating Spatial Autocorrelation, Aggregation Bias, and Distributional Violations in Ecological Inference: Comment on Anselin and Cho

Few better ways of checking and improving statistical methods exist than having other researchers go over your results, and so I especially appreciate the efforts in Anselin and Cho (2002), hereinafter AC. In this note, I make two main points. First, AC’s numerical findings from its empirical example and simulations contradict no prior research. The article’s one empirical example violates EI’s...

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Comment on ‘‘Methods to account for spatial autocorrelation in the analysis of species distributional data: a review’’

M. G. Betts ([email protected]), L. M. Ganio, M. M. P. Huso and N. A. Som, Dept of Forest Ecosystems and Society, Oregon State Univ., Corvallis, OR 97331, USA. F. Huettmann, Biology and Wildlife Dept, Inst. of Arctic Biology, Univ. of Alaska-Fairbanks, Fairbanks, AK 99775-7000, USA. J. Bowman, Ontario Ministry of Natural Resources, Wildlife Research and Development Section, 2140 Eas...

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Response to Comment on ‘‘Methods to account for spatial autocorrelation in the analysis of species distributional data: a review’’

I was amused to read, in a criticism of another publication, that the criticised authors did not adhere to the ‘‘principles of ecological niche modelling’’ (McNyset and Blackburn 2006, p. 782). There aren’t any such ‘‘principles’’. Ecological niche modelling really is statistics on species distribution data. All methods employed need to be statistically consistent, i.e. meet the assumptions mad...

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ژورنال

عنوان ژورنال: Political Analysis

سال: 2002

ISSN: 1047-1987,1476-4989

DOI: 10.1093/pan/10.3.298