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There are numerous books on the subject, some very specialized, some very general, and some just examples. One I used in a cartography class, that I would highly recommend for general foundation, is Dent's Cartography: Thematic Map Design.


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You will have to create your own map canvas item, calculating aggregate statistics and exposing them in a cusom widget. You can refer to this answer for some how-to-get-started reference concerning the widget.


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I've not seen a way of doing exactly what you are looking for, but in the Vector -> Research menu you will find a "Basic Statistics" and "List Unique Values" tools that allow you to extract highlight information from a layer and then paste it into a programme that will do this (a spreadsheet programme for instance).


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If I understand it correctly you are looking for something like the grass command "v_vect.stats" (which is not available in the modeler of QGIS2.2). But to solve your problem you could use the "Count points in polygon" geoalgorithm in the modeler. You can multiply the number of points per polygon with the mean value per polygon to get the sum of all points ...


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I would just do something like this: field = "AveragePrice" values = [row[0] for row in arcpy.da.SearchCursor(fc, field)] top_three = sorted(values)[-3:] query = "\"{0}\" in {1}".format(field, tuple(top_three)) arcpy.MakeFeatureLayer_management(fc, "top_3_layer", query)


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Using the JS API, you have several different options: if the 'SHAPE.Area' field is exposed by the service you are working with, values can be retrieved as attributes of a graphic of interest. https://developers.arcgis.com/javascript/jsapi/graphic-amd.html#attributes the API also provides a utility method to calculate the geodesic area of an input ...


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There are already many plugins which use the Python module matplotlib. (Midvatten here) If you know Python, it is not very difficult to use the Python console or a Python script in the Processing Toolbox. In the same way, you can use a R script in the Processing Toolbox.


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Based on intuition I would say that the statistics probably represent the following. count is the number of pixels within the "zone", so for instance within the polygons you're aggregating to or something similar. sum is their combined total value. And mean the average for the zone/polygon: sum/count



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