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If you look at the plugin code, you will see that the plugin first generates a canvas raster with opacity values corresponding to the values of each cell. The opacity is then transformed into colour. Maybe you could rewrite specific parts of the plugin, so that for every layer the opacity value = (Value)/(number of layers). Then you could add the different ...


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You can use the heatmap option from the layer property. Just double click on the layers' name then on the dialog box select Style--->Heatmap This is my result:


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What you actually want to perform is an interpolation. Heat maps are used to estimate point density between observed points. When you check "Use weights from field", you are expressing that each point has a count other than 1, but the method is still estimating a point density. Interpolation, on the other hand, estimates values at unknown points between ...


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You might try creating an unweighted heat map raster then use the raster calculator to divide the weighted raster by the unweighted one and see if that gives you what you're looking for


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You could use a query like: WITH aux AS ( SELECT max(pntcnt) AS m FROM table_name ) SELECT t.*, (100.0*pntcnt)/aux.m AS norm_pntcnt FROM table_name t, aux to have a norm_pntcnt column with 0-100 values. Then in the CartoCSS, you could use something like: /** torque_heat visualization */ Map { -torque-frame-count:1; ...


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The Torque value variable range is limited from 0 to 255 at the moment, and your data seem to contain values much higher than this threshold. You might want to normalize the data in the aggregation function or divide it by some quantity so that this value gets smaller (sum(pntcnt)/100). Depending on the nature of your data, just play with it and make sure ...


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Thanks to the comment above from DPSSpatial, I have found that the heatmap style in QGIS 2.14 style properties works great for this purpose. I can edit the color ramp so that it is transparent on one end and weight the heatmap based on the pressure value to create the heatmap I'm looking for. Many thanks all.



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