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Not at all. When you have some data that was digitized at 1:100,000, it excluded smaller features, which were smaller than the Minimum Mappable Area. For example, suppose you are dealing with topographic data.At 1:100,000 you would exclude large streams and trees.These features are visible at 1:24,000, and should be included in such a map. If you just ...


I wouldn't say it's a hopeless task. After all, these aren't random points - you know they are going to form a linear feature. I spent about 10 minutes with FME - using a dataset of a trail sorted into a random order - and think the NeighborPairFinder transformer is your friend here. It works because for each point on the trail you find the two nearest ...

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