Identifying inter-seasonal drought characteristics using binary outcome panel data models

Identifying inter-seasonal drought characteristics using binary outcome panel data models

This study mainly focuses on spatiotemporal and inter-seasonal meteorological drought characteristics. Random Effect Logistic Regression Model (RELRM) and Conditional Fixed Effect Logistic Regression Model (CFELRM) are used to identify the spatiotemporal and inter-seasonal characteristics of meteoro...

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Bibliographic Details
Main Authors: Rizwan Niaz, Anwar Hussain, Mohammed M. A. Almazah, Ijaz Hussain, Zulfiqar Ali, A. Y. Al-Rezami
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
standardized drought indices
meteorological drought
drought persistence
conditional fixed effect logistic regression model
random effect logistics model
Online Access:http://dx.doi.org/10.1080/10106049.2023.2178527

Internet

http://dx.doi.org/10.1080/10106049.2023.2178527

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