![]() This first example finds the number of features to sample for each group layer shown below given a sampling percentage of 20. The variables used in the examples are as follows: VariableĮxample 1: Sampling layers with a consistent number of features The first one uses the same number of features in each feature layer, and the other uses different numbers of features in each layer. The weights are used to determine how many features from each layer are included as part of the sample.īelow are two examples that calculate the sample for a percentage of features in the dataset. This means that out of all the features in the grid or extent, a specific percentage is selected for the sample. With the Sampling check, you can choose to generate a sample based on a percentage of all the features in the map. A percentage of all features in the extent or database When you specify a number of features to be included in the sample, the weights assigned to each layer are used to determine the number of features that are going to be included in the sample. A polygon grid that is loaded in the map or from a geodatabaseĪll the calculation methods use the weight values to determine the number of features that are going to be included as part of the sample.A number derived from a calculation based on the confidence level, margin of error, and acceptance level.A percentage of all the features in the specified extent.The sample is calculated based on one of the following methods: There are several methods that can be used to calculate the size of the sample and determine which feature layers are going to be included in the sample. The Sampling check included with Data Reviewer allows you toĬreate a sample set of features that are randomly selected from one or more layers. A polygon grid in the map or loaded from a geodatabase.A calculation based on the confidence level, margin of error and acceptance level.A percentage of all features in the extent or database.
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