Applying the technique of image classification to climate science: the case of Andalusia (Spain) |
| |
| Authors: | José Gómez‐Zotano Jorge Alcántara‐Manzanares Emilio Martínez‐Ibarra José Antonio Olmedo‐Cobo |
| |
| Affiliation: | 1. Department of Regional Geographical Analysis and Physical Geography, University of Granada, Campus de Cartuja, Granada, Spain;2. Department of Botany, Ecology and Plant Physiology, University of Córdoba, Campus de Rabanales, Córdoba, Spain |
| |
| Abstract: | This paper proposes an empirical climate classification method based on the application of multivariate statistics. In this method, the technique of supervised and unsupervised image classification is used to classify the data and define climatic units. envi software is used to perform the image classification, specifically, the Iterative Self‐Organizing Data Analysis Technique algorithm. Supervised classification is also applied based on reference variables, fundamental parameters and a classifier. The obtained results display greater objectivity, reliability, operability, accessibility and reproducibility than previous climate classifications devised for the region of Andalusia (Spain), taking into account that these previous classifications were not based on quantitative criteria. |
| |
| Keywords: | Andalusia climate classification image classification multivariate statistics |
|
|
