Revert "Copyedit c14" #357
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Sorry if I jumped the gun. All the changes looked good. This PR seems to revert good changes. |
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that's fine, the changes will be added again when I am done adding all changes, no worries |
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will add all changes within the next hour and will let you know when I am done |
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Just to explain, I stopped working on the chapter because I needed to take care of my Katharina as she is ill. Therefore, the impression arose that I might be done with the chapter when in fact I was only taking a break, sorry! |
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Ok, finally I am done. Just one more thing, I also wrote it into #334: |
14-eco.Rmd
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| Additionally, the relationships might be highly non-linear. | ||
| In our use case, the relationship between response and predictors are pretty clear, there is only a slight amount of non-linearity and the number of observations and predictors is low. | ||
| Hence, it might be worth to try a linear model. | ||
| Hence, it might be worth it to try a linear model. |
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@Robinlovelace Could you pls check this sentence, is it really it might be worth it?
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The new version is definitely better. However, I would suggest this, which is shorter and clearer:
Hence, it might be worth trying a linear model.
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perfect, thank, Robin!
@jannes-m please add those kinds of issues to #334. We will need to work on them later. |
14-eco.Rmd
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| Ordinations are a popular tool in vegetation science to extract the main information, frequently corresponding to ecological gradients, from large species-plot matrices mostly filled with 0s. | ||
| However, they are also used in remote sensing, the soil sciences, geomarketing and many other fields. | ||
| If you are unfamiliar with ordination techniques or in need of a refresher, have a look at Michael W. Palmers [webpage](http://ordination.okstate.edu/overview.htm) for a short introduction to popular ordination techniques in ecology and at @borcard_numerical_2011 for a deeper look on how to apply these techniques in R. | ||
| If you are unfamiliar with ordination techniques or in need of a refresher, have a look at Michael W. Palmer' s [web page](http://ordination.okstate.edu/overview.htm) for a short introduction to popular ordination techniques in ecology and at @borcard_numerical_2011 for a deeper look on how to apply these techniques in R. |
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@jannes-m good to merge? |
Robinlovelace
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I'm happy with these changes. We can fix minor issues, like https://github.com/Robinlovelace/geocompr/pull/357/files#r243570787 , post merge.
14-eco.Rmd
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| Additionally, the relationships might be highly non-linear. | ||
| In our use case, the relationship between response and predictors are pretty clear, there is only a slight amount of non-linearity and the number of observations and predictors is low. | ||
| Hence, it might be worth to try a linear model. | ||
| Hence, it might be worth it to try a linear model. |
There was a problem hiding this comment.
The new version is definitely better. However, I would suggest this, which is shorter and clearer:
Hence, it might be worth trying a linear model.
Reverts #356
I still have to do some updates, i.e., I haven't finished yet.