Equal intervals is the most basic method. Practically, the default method in GIS software is Natural breaks, called also Jinks. the other intervals are on the right and left of the first interval. Then, the centre of the first interval is the median, and the width is equal to 1 standard deviation. First of all, the standard deviation is calculated. In a nutshell, the Natural Breaks method scans the data and detects value clusters in the data and assign it to an interval.įinally, the last method, Standard Deviation. This one is a little bit beyond the scope of this article but it is safe to say that mapping software like ArcGIS and QGIS calculate it automatically. The third classification method is Natural Breaks. a quantile is one-fifth of the number of data input we have, regardless of having equal-sized intervals.ĭo you want your maps to look brilliant and informative ? You might need to check this article about Topology. Consequently, this method will underperform when used in skewed data and would give the best representation when the data has a bell-shaped distribution. This one is the most generic and would simply divide the values on the X-axis into Equal intervals. Let’s go through each one separately.įirstly, Equal intervals. Consequently, each one of these methods will generate a relatively different map. ![]() The four most used classification methods are :Įqual Intervals Quantiles Natural breaks and Standard Deviation. ![]() Therefore, specifying these intervals will have a huge impact on your map and on the story you want to tell, and that’s where the classification method comes in handy. A choropleth map assigns a specific colour to a variable interval and assigns it to a delimited area. Share this post on: Data classification methods have a huge impact on your map and on the story you want to tell.ĭepending on the data at hand, a choropleth map can be generated.
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