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,...
| Published in: | ISPRS International Journal of Geo-Information |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/11/631 |