Continuous
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Binning is the process of classifying a body of data into discrete breakpoints, or bins, to more easily understand and digest the data. Many online maps utilize unclassified scales -- continuous color gradients -- but we prefer and provide tools for a robust set of binning strategies.
You can specify binning strategy and number of bins for each of your variables in map-config.js
by setting the binning
and numberOfBins
parameters. For a more in-depth look at binning strategies, refer to .
Here are the different binning modes available in WebGeoDa:
This non-linear algorithm identifies natural groupings of values that highlight more intuitive breakpoints.
Quantile breaks create bins based on an equal number of entries in numerical order based on the given number of bins.
Percentile breaks identify bins at the 1% lowest percentile, 10th percentile, 50th percentile (median), 90th percentile, and 99% highest perceentile.
Standard deviations are calculated from your given variable based on .... Standard Deviation breaks fall on less than -2 standard deviations, -1 to -2 standard deviations, 0 to -1 standard deviations, 0 to +1 standard deviations, +1 to +2 standard deviations and greater than +2 standard deviations.
15/30
If you want to provide a custom or fixed binning scale for your data, such as a particular equal interval (eg. 5, 10, 15, 20, 25, etc.), you can provide a fixedScale
parameter in your variable: