Geographic Information Systems Asked by lefeast on February 21, 2021
I have a dataset of point features with photo attachments of street signs from volunteers through the Survey123 app. The app records their location which ultimately creates the point feature.
Part of the project involves identifying and removing photo submissions of the same signs, which I think can be accomplished by identifying the points that overlap each other or are near each other – this would indicate that a photo was taken at the same location which means the chance of the same sign being photographed is higher and could be manually reviewed.
The select by location tool doesn’t seem to work properly as any configuration just selects all the records.
Is there a tool that could accomplish what I’m trying to do?
Finding nearest points can be either a geometric or geometric-attribution problem which could need weights. Pure Geometric is usually an O(n^2) solution which depending on the size of your dateset can be time consuming. I’d recursively .pop() your point container til bool([]) meaning every point has either found a nearest point or you’re left with a remainder (which is a result of not finding a neighbor) to manually review. The data and parameters are very important to consider. This is a greedy algorithm.
Answered by MonsieurCowboy on February 21, 2021
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