GEOB 270 Lecture Notes - Lecture 6: Standard Deviation, Arcgis, The Algorithm
14 Sep 2018
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Document Summary
There are 4 different ways to classify data. Natural breaks: looks for natural groupings in the histogram of the data. They take the data and plot into a histogram, then groups clumps of similar data together (the most similarities are grouped within a class) The break is identified by the most differences in particular classes. The algorithm that determines where the natural breaks are is made by jenks optimization. The goal was to determine the homogeneity within classes and hereteogenity between classes. You go through the iterations until optimization is achieved. Measure the optimization and then find the goodness of variance fit. You look at errors and find the average. Equal interval: if you have percentage data that goes from 0-100, there. Equal interval: if you have percentage data that goes from 0-100, there are equal intervals (so i. e. 20 each since there are 5 classes = 100 / 5 classes = 20)
