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3

Assuming that your points are in order, and that this works at 10.0 (I'm using 10.2): Field Calculator Expression: dist( !Shape! ) Field Calculator Code Block: count = 0 def dist(shape): global prev global count point = arcpy.PointGeometry(shape.getPart(0)) if count > 0: distance = point.distanceTo(prev) else: ...


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Achieving this goal is somewhat a basic task in GIS, however the method in QGIS might not be trivial. Your best chance is to use GRASS's r.walk function, which creates an anisotropic cost surface (dem+slope+other factors). First, you have to create a friction surface as an input to r.walk. In your case it can be a single-valued raster (1.0) matching the ...


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I am the developer of FlowMapper plugin. Hope you find it useful. Regarding your question: FlowMapper offers two types of flow length caculations: (i) for cartesian coordinates (e.g. UTM x y) (ii) for geographic coordinates (e.g. WGS84 easting northing) User must properly choose either CARTESIAN or GEOGRAPHIC calculation depending on the type of ...


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I get the solution of the problem directly from the developer of the plugin, I'll post here the answer I get: FlowMapper offers two options for distance caculation: (i) cartesian coordinates (e.g. UTM x y) (ii) geographic coordinates (e.g. WGS84 easting northing) As far as I can see, you are using geographic coordinates (x-y). Please check ...


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One way to merge your lines is to use the "integrate" tools. Be carefull when you use this tool because it modifies the input data. If you want to detect those lines, you could use integrate on a copy of your original data, the you run "intersect" between the original and the integrated data : the result will only include the lines that were not moved by ...


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Both answers from @HåvardTveite and @mapBaker should help you get your results. What I normally do is first use the Distance to nearest hub tool and then Join the resulting layer with the polygon layer. This is a late answer but anyway, I created 2 simple layers (polygon and point) with the following attributes: I then ran the Distance to nearest hub via ...


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Other way to measure this, it is using Qchainage (QGis plugin) to produce nodes equallly spaced from line. Then, you may use Distance to nearest hub (QGis plugin) to calculate distance among points.



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