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...chive a higher [[accuracy and precision|precision]] with the same [[sample size]]. Beside statistical issues there are further arguments for stratification ...lue are used as stratification criteria. In large managed forest areas age classes or forest types might be for example good stratification criteria if the es

... of different diameter classes are included in sub-plots of different area size (smaller trees in small plots, large trees in large plots)! ...ibe how [[Sampling intensity vs. sample size|sampling intensity and sample size]] are affecting [[accuracy and precision|precision]])

...2 classes: hardwood dominated and softwood dominated) and the age class (4 classes) is determined; by that, a total of 8 strata is defined. The stratification ...ina, the health status of trees should be estimated. A stratification into classes of different crown cover was deemed to be an efficient sampling approach. B

Line intercept sampling is used to estimate the cover of defined classes in the landscape, for example forest or forest types. Line samples are rand ...ndard procedure when determining probabilities: we must try and define the size of the total population of needles and then identify that part of the popul

...right|thumb|300px|'''Figure 1''' Illustration of inclusion proportional to size (basal area) in Bitterlich sampling (Kleinn 2007<ref name="kleinn2007">Klei ...ed to have a balanced number of [[Tree Definition|trees]] in all dimension classes; that is, we wanted to assign a higher probability of selection to the larg

...-axis and ''dbh'' (cm) as X-axis showing unequal variance across ''dbh'' classes (Kleinn 2007<ref name="kleinn2007">Kleinn, C. 2007. Lecture Notes fo ...to adjust to changing ''dbh''-height relationships as they occur in medium size<br>forest inventories such as [[forest enterprise inventories]] or [[forest

... small plots, again the cost will be much higher; the decision on [[Sample size]] is again a compromise between practical (cost) criteria and statistical ( ...ircular plots, the inclusion zone that is centered about each tree has the size and shape of the plot, that is circular. All trees, therefore, have the sam

...ver bias). A systematic error cannot be compensated by increasing [[sample size]]. :sample plots with defined area size.

...mply counted how many points fall into forest; if, out of the total sample size ''n'' there are <math>n_f</math> forest points, then the forest cover propo ...The map is given in Figure 1, up; it has a side length of 10000 units. The size of the dot grids used for area estimation is measured in these units.

For research into and modelling of all three classes of [[edge effects]], the determination of edge lengths in a given study reg ...ourse, we are referring here to plots to which a clearly defined shape and size can be attributed. Then, by simply counting the intersecting cluster plots,

*[[age classes]]; ...errors that occur in forest inventories; these can be categorized into two classes: [[systematic errors]] and [[random errors]]:

...ximate the true [[parametric value]] of a [[population]] when the [[sample size]] is more and more increased. It is eventually not the estimate that is bia ...is used, the bias is not reduced nor eliminated by increasing the [[sample size]].

...ssessment we need an additional independent reference data set. The sample size should be large enough to divide the reference data into training and test ...es.pdf'' from the [[Course data|course data]] for a reference of landscape classes.

* Set the {{button|text=Number of classes}} to {{typed|text=20}} * Check the {{button|text=Training set size}} to {{typed|text=10000}}

* Adjust the size of the Globe viewer to the same size as the map canvas. * For Classes choose {{typed|text=3}}.

...mes also techniques like [[adaptive cluster sampling]] are applied to rare classes. ...influenced in different ways. The sampling design, especially the [[sample size]], has a strong influence on the resulting precision of estimates that is q

...ations on the data type (8 bit), dimensions (4000 x 4000 pixel), and pixel size on the ground (0.25x0.25m). ...17_col''). With the "Identify Feature" tool the integer numbers of the AK5 classes are shown as result. Mark the AK5 layer in the Layers window, {{mitem|text

bins <- seq(from=0, to=100, by=2) # define bin wiedth (here, 2 cm classes) (rl <- sqrt(750/pi)) # radius of a plot of size 750 square meters

... of ROIs can be useful in order to account for the spectral variability of classes. Here we will use the automatic region growing algorithm. * Repeat this step for all C_ID classes.

* Set the {{button|text=Number of classes}} to {{typed|text=20}} * Check the {{button|text=Training set size}} to {{typed|text=10000}}