Advanced statistics are calculated per zone, containing the attributes: minimum and maximum values of the vegetation index (or other attributes), median, average, standard deviation, and the sum of all the values in the zone. The median is the middle value of a dataset that has been numerically ordered, as opposed to the average. This relates to the standard deviation, which reflects how the data is arranged around the average value. A low standard deviation suggests that the data in a given zone is grouped closely around the average, whereas a high standard deviation indicates that the zone data is spread out more widely around the average. The sum attribute is simply the total sum of all pixel values in that zone. Before any stats are calculated for your zones, all the outliers or anomalous data points are removed to prevent the creation of misleading statistics that do not accurately reflect your zone data.
After the manual amendments of zones through the Merge/Split tool, zone statistics are recalculated based on the new zone geometries. This allows for a refined and accurate understanding of data distribution inside and across zones.
As always, GeoPard values transparency throughout all aspects of the platform. During the aggregation of classified data into zones, all details are smoothed and hidden without metrics to show what happened, so the results of the data aggregation are provided through statistics. It is also always possible to backpedal and extract the original values from your zones to recheck them or to utilize them in your own models. You never need to worry about losing your original data in GeoPard. Statistics are of high value in determining map accuracy and are calculated for zones based on any data layer of your choice, including yield, ground sensors, satellite, topography, and multi-layer.
GeoPard presents zone statistics in a highly readable and straightforward manner, which can be seen in the example images below. At GeoPard we want to make it easy for you to be confident in the decisions you are making about your fields by providing you with the best and most comprehensive access to statistical calculations we can.