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Jan 11, 2021 at 19:02 vote accept TernPloverLab
Jan 11, 2021 at 19:02 answer added TernPloverLab timeline score: 0
Jan 11, 2021 at 18:22 history edited TernPloverLab CC BY-SA 4.0
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Jan 11, 2021 at 17:45 answer added Spacedman timeline score: 3
Jan 11, 2021 at 15:59 comment added Spacedman 24,000 small point buffers created and merged should be quicker than that - can you edit your Q to show your R code you tried?
Jan 11, 2021 at 15:30 comment added TernPloverLab @Spacedman - The first image is a bunch of green dots (with a standard black outline). The is a point (dot) taken every 5 feet across this crop field so at the zoom level I took the screen shot it looks black. The green dots are just some points that must be positioned to where they actually show through, but they are the same as all the others. I will tried running the buffers on a single 24k point field and it ran for 10 minutes until I killed the program.
Jan 11, 2021 at 11:34 comment added Spacedman Are the black areas in the first image due to lots of overlapping point markers? What's all the green speckles near the edges? If it is overlapping markers then you could probably do a small circular buffer at each point and then dissolve to get something like the second image.
Jan 10, 2021 at 22:21 history edited TernPloverLab CC BY-SA 4.0
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Jan 10, 2021 at 22:02 history edited Kadir Şahbaz CC BY-SA 4.0
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Jan 10, 2021 at 21:51 comment added Timothy Dalton Starting from an arbitrary seed focus point you could try and find the nearest neighbors and connect the dots step by step. After connecting the nearest neighbor make it your next focus point and pop the last point from the queue of points. This won't work in all cases but it could give you a first spark? towardsdatascience.com/…
Jan 10, 2021 at 21:06 history edited TernPloverLab CC BY-SA 4.0
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Jan 10, 2021 at 21:00 history asked TernPloverLab CC BY-SA 4.0