I have a 3D TIN which shows an avocado sizes in Z-values. The 3D visualization is perfect, however, is not our needs because it requires too much interpretation from our end users perspective.
How can we create continuous surfaces with the same output, while we want to avoid using the interpolation toolbox?
The image below is the TIN surface clipped to a farm boundary. The lighter green is indicative of size 48 fruits, which are the largest. Ideally, I would like to create a continuous raster with similar output, such that interpolating the surface will not create an equal distribution across the farm.
Best Answer
Why not try Interpolation rather than a TIN?
If you use a Inverse Distance Weighted algorithm, you can play with the parameters to manage smoothness.
If you have the license then run Kriging. Again, play with parameters until it looks nice.
To break your question down a bit, do you need to interpolate? Do avocado sizes vary in a way that displays spatial auto-correlation? Should you be plotting them as circles of varying sizes and showing other attributes underneath, like min/max/average temperature, slope, aspect, average insolation. If you're just visualising avocado sizes, maybe plotting avocado pictures of different sizes would work better (though it does sound a little absurd!)