In this lab, we compare natural break (Jenks) and head/tail break.You can easily find out that head/taill breaks method reflects a relatively real phenomenon. In other words, the distribution of point using head/tail breaks is much more natural than Jenks natural breaks,where small things are much more than big ones.

Task1

In the first task,we use a long tailed distribution data to stimulate what things are in natural world.We set the data as some point and give them random coordinate.By classify the data with natural break and head/tail break,we can intuitively see the difference between this two metods.Head/tail break takes into account the spatial distribution of the data points rather than just the values of the data. Head/tail breaks divide the data into two groups based on the distribution of values, with the "head" representing the higher values and the "tail" representing the lower values.

Task2

In the second task,we use DEM data to see the difference between natural classification and head/tail break one.However, existing classification methods (e.g.equal interval, natural breaks) have inadequacies in capturing such key characteristics. In this respect, head/tail breaks (Jiang 2013) as a new classification scheme for data with a heavy-tailed distribution can be used for uncovering the underlying scaling pattern of DEM data.