Scale Optimization in Topographic and Hydrographic Feature Mapping Using Fractal Analysis

A new method for selecting optimal scales when mapping topographic or hydrographic features is introduced. The method employs rank-size partition of heavy-tailed distributions to detect nodes of rescaling invariance in the underlying hierarchy of the dataset. These nodes, known as head/tail breaks,...

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Bibliographic Details
Main Authors: Christos Karydas, Bin Jiang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/11/631