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A Clipped Gaussian Geo-Classification model for poverty mapping · Peerford

Article · Journal · 2020

A Clipped Gaussian Geo-Classification model for poverty mapping

Richard Puurbalanta

Journal of Applied Statistics

Open access · Green

Read it 10.1080/02664763.2020.1779191

Citations: 5from other works
Field-weighted impact: 0.751.00 is the world average for its field and year
Among its field: 84th percentileby citations, against works of its field and year
Authors: 1from 1 institution

Authors

1 author

Richard PuurbalantaFirst authorCorresponding
- University of Technology and Applied Sciences (GH)

Development goals

1No poverty

Country

Ghana

Fields

A work can sit in several, each with a score

Spatial and Panel Data AnalysisTopic
Economic and Environmental ValuationTopic
Land Use and Ecosystem ServicesTopic