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A more robust (but complicated way) would be to query the experiments and experiments_sites tables. But we will leave that for later.
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A more robust (but complicated way) would be to query the experiments and experiments_sites tables. But we will leave that as an exercise for the ambitious user.
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### Plot Season 2 plots
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@@ -78,7 +78,7 @@ leaflet() %>%
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```{r}
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## Time series of canopy cover, height, NDVI
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#First look up variables by name. Let's look for measurements related to canopy size:
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First look up variables by name. Let's look for measurements related to canopy size:
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