A Solution to Treat Mixed-Type Human Datasets from Socio-Ecological Systems
Coupled human and natural systems (CHANS) are frequently represented by large datasets with varied data including continuous, ordinal, and categorical variables. Conventional multivariate analyses cannot handle these mixed data types. In this paper, our goal was to show how a clustering method that...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Szeged
2020-11-01
|
| Series: | Journal of Environmental Geography |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/jengeo-2020-0012 |