Some zoning tools in PCT Agcloud such as the k-Means Clustering tool and the Create Zones/Zone Locate tool, give you the option to generate sample points using either stratified random sampling with the 'Generate Random Sample Points' button or conditioned Latin hypercube sampling with the 'Generate LHC Sample Points' button.
For both options, you may select a buffer width to prevent sampling on the edges of fields or boundaries between zones.
The 'Generate Random Sample Points' option only utilizes the developed management zone layer and allocates the given number of samples randomly within each zone.
The 'Generate LHC Sample Points' option considers data in the input layers to optimize where the sampling sites are located. The samples are positioned so that they capture the maximum amount of variability in the input layers from the given number of sampling locations. This minimizes the correlation between sampling points and increases the overall efficiency of the sampling plan. LHC will not necessarily put an equal number of samples in each zone.
Once the points have been plotted, click the 'Save points' button at the bottom of the page. The points in the example below were created using the LHC option.
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