I have a polygon shapefile which has population attributes pop90,pop91 and so on for 10 years. They have different minimum and maximum value for each of the years. Now I need to do classification for each attribute(pop90,pop91) but with the same number of classes and the range for each class should be same. Same number of classes is fine but I am not sure on how can I use the same class range for each of the attribute. Any idea how can this be done. Thank You.
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Create a layer file (*.lyr) with the symbology ranges that you want, then when you add a new file, import the symbology from this layer file to classify the other file using a common range. Also, see the many other Related threads on the side bar to this post. |
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I think the best way to solve this problem is to choose a reference attribute (for example pop91) and to add new field for attributes which have inadequate number of classes. And for values in a new field you must do interpolation or extrapolation. |
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