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When there is a space in the path, it is recommended to use the r"D:\etc" notation, so that the whole path is understood as one single string. See also the help topic Setting paths to data in Python.


I posted multiple times on this Q, e.g here. It seems though I did poor explaining of how my method of grouping works, because so many users are struggling to understand it. This is another attempt based on the most basic of all examples I can come up with. Let's put 6 points on straight line: and try to create 3 groups with equal count of memebers in ...


Not really an answer, but important: An SRID like EPSG:4326 or EPSG:3857 is just a reference number to access a commonly used projected coordinate reference system (CRS). A projected CRS consists of a geographic CRS (geodetic datum, ellipsoid/spheroid, prime meridian), a projection method and parameters, linear unit, and (optionally, for the ...


SRIDs are used as a means to distinguish between the many different coordinate systems. Often there are several coordinate systems that will be suitable for the task you are trying to achieve. The first decision you need to make is whether to use a geographic (latitude/longitude) coordinate system or a projected (x/y) coordinate system. If you are working ...


Assuming you have multiple independent polygon shapefiles of fires for a specific area, you can use the following workflow: Merge your shapefiles into one Use the Count Overlapping Polygons script tool The resulting polygon shapefile will have a count associated with the shapefile, which you can then use in your symbology.


If you want to emphasize areas where the old people live, only display their dots. Mayne use a setup with layers for different age groups or a small multiples approach. If you want to show a ratio, for example "this place has more old than young people", use any kind of choropleth map. Hexbinning or another kind of same shapes is one way, if you want to use ...


try hex binning. https://github.com/minus34/postgis-scripts/tree/master/hex-grid here is some code for creating hex grids over Australia at varying levels put together by @Minus34. It's very useful for being able to show the large amount of point data into useful and spatially identical areas.

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