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Near Table: This table shows the qochas and the distance of the nearest qocha to each one.  Note the outliers at the top of the table, which is sorted in descending order.  These qochas were excluded from the later analysis based on search radius, which was extended to a distance of two standard radii from the mean.
 

 
Density of points, without a population field.
 

 
Density of points, with a population field, set as shape area.  The lightest points represent areas with the largest qochas. Note the one point in the center of a darker area, that does not show up on the raster without considering population.  This is the location of the largest qocha.
 
It wwas interesting to note the differences between density with population and without.  Obviously, these two measures are useful in different cases.  The density without population shows the true density of qochas.  The density with population seems to be more of a measure of areas where there are concentrations of qochas with large areas.  Therefore, single qochas with massive areas can show up as especially dense, when there is only one.  A single, isolated qocha would not show up in a density map without considering a population field.

This is the desnity map of qochas produced using the kernel feature, with no population input.

 This is the desnity map of qochas produced using the kernel feature, with a population input as shape area.

Note the slight differences between the kernel-produced maps and the point density maps.

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