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4

Well, you are pretty skinny on details (eg, should this be automated, what class object do you need, do you need attributes associated with the point, ...). The most straight forward answer is for you to use SpatialPoints to create an sp class point with no attributes. If you need attributes look at SpatialPointsDataFrame. library(sp) library(raster) # ...


3

Try this: Install R, and if you want a (slightly) more GUI style R-Studio Open R (Studio) and run this script (modify to your need) (there is an option to run it step-by-step, if you prefer): # install dbscan package install.packages("fpc") # load library library(fpc) # set plots bg-color par(bg="grey80") # import your point data data = ...


3

You can clean up the scan in Gimp first and make processing a lot easier: Use the 'select by colour' tool and select the map background, adjusting the threshold to give a nice clean selection. Invert the selection, so the lines and points are now selected. Now 'shrink' the selection down Select > Shrink... by enough pixels so that just you points ...


3

First create your raster with the correct cell size and origin, the values don't matter at this point so a tool like Create Random Raster would be fine, if you have a boundary you can use Polygon to Raster or you can use another existing raster lying around with the right cell size and origin.. Convert the raster to points and perform Near against your ...


2

You can delete all duplicate points from a las, laz or ascii file using lasduplicate in LAStools. Finds and removes all duplicate points from a LAS/LAZ/ASCII file. In the default mode those are xy-duplicate points that have identical x and y coordinates. The first point survives, all subsequent duplicates are removed. It is also possible to keep ...


1

One method would be to split your point file (via a select and export or some other method) into to new files - points within buffers and points that are not. From there you can use a Spatial Join (which doesn't require an Advanced License if you don't have one) to join the points outside the buffers to those inside. With the settings of that tool you can ...


1

Try using the Near (analysis) tool. The resulting table will show which point is closest by whatever OBJECTID you specify. Then perform a join and field calculate the values into your previous points.


1

No workaround should be needed. What you did in the first place is the right way. Take this GML as input: <?xml version="1.0" encoding="utf-8" ?> <ogr:FeatureCollection xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://ogr.maptools.org/ mixed_points.xsd" xmlns:ogr="http://ogr.maptools.org/" ...


1

You could try a matrix regression to derive the temporal correlations (ie., Partial Mantel Test on two pairwise-distance matrices or Mantel Test on single, cross-distance matrix) or you could apply Dutilleul's (1993) modified t-test. Sorry, I just can't think of an "out-of-box" solution available in ArcGIS or GME. You may want to take a look at the "Spatial ...


1

I'd suggest setAttributes() which takes the list of attribute values, for example feat.setAttributes([id,x,y]) You can find more examples in the Vector section of the PyQGIS Developer Cookbook. It's true that the C++ Api doc can be difficult to interpret that's why the PyQGIS Cookbook is important and any outdated code snippets should be reported on the ...



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