Geographically weighted regression hybridized with kriging model for delineation of drought-prone areas

• Main Authors: Bahmani, Shadi, Naganna, Sujay Raghavendra, Ghorbani, Mohammad Ali, Shahabi, Mahmood, Asadi, Esmaeil, Shahid, Shamsuddin
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/97391/; http://dx.doi.org/10.1007/s10666-021-09789-z

Assessing spatial variability of drought-prone areas is important for disaster preparedness and impact management. This study applied state-of-the-art geographically weighted regression hybridized with kriging method (GWRKrig) to map the spatial variability of drought-prone areas in the northwest of...