Hello, I am trying to find a standard cell size and search radius within the Kernel Density Tool so I can use the same settings across all of my spatial data sets (1 Hour chunks of tree sway). The problem I'm having is that my tree sway data has varrying sizes based on wind (see attached pictures - different colors are different data chunks). I want to create density contours so the area of them can be compared across different time segments, but cannot think of how to do this because there is no one standard cell size and search radius that works creates nice density contours across all time periods. Any creative ideas or suggestions how else I may be able to do this so all settings are equal?
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Hello, I am a master's student working on tree sway analysis. I use ArcGIS to create point density contours of each tree's movement over time. I have points of a tree's location as it moves in the wind every 1/10th of a second for an hour, which I import as X and Y spatial data. I then use Spatial Analyst to create a point density contour of the tree's location. I have attached an image of an example of tree sway. I would like to be able to quantify the spatial distribution/pattern of the contours, but am unsure how. I can turn the outline of the outer contour into a polygon - however I am unsure how to get spatial information about the shape of sway. I would love to figure out a way to look at the symmetry of the shape, or perhaps the longest axis of symmetry (what direction the tree is swaying in) (perhaps by quadrant so I can quantify trees that sway in more than one primary direction). I also have the point data I used to create this contour which I could analyze for spatial patterns, etc. Any idea or suggestions is greatly appreciated! Thank you! Jenna
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