12.6.1 Plot sampling illustration
I think that this section and the following one would benefit from some actual outputs illustrated - e.g., stand and stock tables. I show students (in excel) how to generate stand and stock tables from plot and point sampling data in Baker. Seeing the outputs would make the illustrations more clear. But maybe the code spits those out?
12.6.3 Stand and stock table estimates
I think it would be nice to show a stand and stock table generated from data here.
This approach is viable when tree height is easier to obtain than DBH.
When is that? I would say that we can sometimes eliminate the need to measure DBH, as in VBAR, and only count logs, instead of measuring both. I don't think there is any situation where measuring height is easier than DBH. Choice 1. Measure DBH and height on in trees. Choice 2. Measure height only and use VBAR as a ratio estimator.
TABLE 12.9: Stand 1 overstory point-level summary for inventory data shown in Figure 12.10.
Sig figs in the table for volume and TPA?
In such cases, either the mirage or walkthrough method introduced in Section 12.3.3 can be applied.
Is it worth showing an illustration of the mirage or walkthrough with point sampling?
ABLE 12.5: Stand 1 overstory total estimates along with associated confidence intervals (CI) for inventory data shown in Figure 12.7 and recorded in Table 12.2.
As above, three decimal places is likely overkill and the measurements aren't that precise.
TABLE 12.3: Stand 1 overstory plot-level summary for inventory data shown in Figure 12.7.
Maybe round the numbers in the data to realistic values for precision?
toy
is "toy" necessary. It's just a data set.
Consider the example in Figure 12.4.
I'd put double asterisks or a different mark on the walkthrough trees counted twice in the figure. Makes it easier to read and understand quickly.
point sampling data
Maybe say parenthetically "(introduced in Section 12..)"?
seedlings
add "only" before seedlings
used
delete this word
applied in many forestry applications
"is a common sampling method"
where sampling units are drawn from a continuous spatial surface rather than a fixed list of discrete units. This shift better reflects the realities of forest inventory and shapes how we define sampling frames, select units, and expand measurements
Maybe a little more insight into what this means in plain language?