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Ecoregion Classification

Chapter

Abstract

After a brief introduction, in this chapter, the spatial interpolation methods and regression models for main climate variables for the Lhasa area at the central Tibetan Plateau are developed. Subsequently, based on the comprehensive analysis on regional environmental characteristics and climatic conditions in the study area, seven key variables from topography and climate are selected as main indicators affecting ecological region, and then ecoregion classification is implemented based on these indicators using principal component analysis (PCA) and artificial neural networks (ANN) techniques, and main results are presented. The chapter ends with conclusion and discussion.

Keywords

Spatial interpolation Climate variables Ecoregion classification PCA ANN Central Tibetan Plateau 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Duo Chu
    • 1
  1. 1.Tibet Institute of Plateau Atmospheric and Environmental SciencesTibet Meteorological BureauLhasaChina

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