weecology / bbs-forecasting

Research on forecasting using Breeding Bird Survey data
MIT License
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final editors to do list #247

Closed sdtaylor closed 6 years ago

sdtaylor commented 6 years ago

line 265 Variance in species richness within sites 263 was lower than predicted by several common count models, such as the Poisson or 264 binomial (i.e. richness was underdispersed for individual sites), ~so these count models would have had difficulty fitting the data~ (cf. Calabrese et al. 2014)

editor suggests: so fitting the data is unlikely by these models.

The suggestion just sounds weird to me


elaborate on figure 3B results


line 557 (box entry 4)

Original: Investing time in identifying and acquiring better predictor variables may have at least as many benefits as using more sophisticated modeling techniques (Kent et al. 2014).

Editor suggests: Investing time in identifying and acquiring better predictor variables may often provide better results than simply using more sophisticated modeling techniques (Kent et al. 2014).

This rewording makes acquiring better predictors potentially better than what Kent says it is.

ethanwhite commented 6 years ago

I agree that both of the edits @sdtaylor doesn't like are questionable and change the meaning. I suggest that we don't make them.

davharris commented 6 years ago

Agreed. I was struggling a bit with the first one, so I'm glad I'm not the only one.

sdtaylor commented 6 years ago

published