Proportional odds model for identifying spatial inter-seasonal propagation of meteorological drought-Reference-Cited by-同舟云学术

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Proportional odds model for identifying spatial inter-seasonal propagation of meteorological drought

Published:2022-07-12 Issue:1 Volume:13 Page:1614-1639
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Niaz Rizwan¹,Raza Muhammad Ahmad¹²,Almazah Mohammed M. A.³⁴,Hussain Ijaz¹^ORCID,Al-Rezami A.Y.⁵⁶,Al-Shamiri Mohammed M. Ali³⁴

Affiliation:

1. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

2. Federal Urdu University of Arts, Science and Technology, Islamabad, Pakistan

3. Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Muhyil, Saudi Arabia

4. Department of Mathematics and Computer, College of Sciences, Ibb University, Ibb, Yemen

5. Mathematics Department, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Department of Statistics and Information, Sana'a University, Sana’a, Yemen

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2022.2095934

Reference98 articles.

1. Transcriptome Analysis of Drought-Resistant and Drought-Sensitive Sorghum (Sorghum bicolor) Genotypes in Response to PEG-Induced Drought Stress

2. Impacts of climate variability and change on seasonal drought characteristics of Pakistan

3. Determinants of households’ food insecurity with severity dimensions in Pakistan: Varying estimates using partial proportional odds model

4. Drought risk assessment: integrating meteorological, hydrological, agricultural and socio-economic factors using ensemble models and geospatial techniques

5. Appraising regional multi-category and multi-scalar drought monitoring using standardized moisture anomaly index (SZI): A water-energy balance approach

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1. A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought;Complexity;2023-12-11

2. Integration of three drought indices based on triple collocation and multi-scalar weighted amalgamated drought index;Stochastic Environmental Research and Risk Assessment;2023-12-10

3. A generalized framework for quantifying and monitoring the severity of meteorological drought;Geocarto International;2023-07-03

4. Bayesian logistic regression analysis for spatial patterns of inter-seasonal drought persistence;Geocarto International;2023-05-23

5. Identifying inter-seasonal drought characteristics using binary outcome panel data models;Geocarto International;2023-02-20

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