A Clipped Gaussian Geo-Classification model for poverty mapping
Work
Year: 2020
Type: article
Abstract: The importance of discrete spatial models cannot be overemphasized, especially when measuring living standards. The battery of measurements is generally categorical with nearer geo-referenced observat... more
Source: Journal of Applied Statistics
Author Richard Puurbalanta
Cites: 18
Cited by: 4
Related to: 10
FWCI: 0.379
Citation percentile (by year/subfield): 81.15
Subfield: Economics and Econometrics
Domain: Social Sciences
Sustainable Development Goal No poverty
Open Access status: green