October 01, 2018 article Open access Comparison of spatial interpolation methods to create high-resolution poverty maps for low- and middle-income countries Journal of The Royal Society Interface DOI: 10.1098/rsif.2018.0252 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 15 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access From data to dignity: Understanding and predicting fuel poverty in the United Kingdom with machine learning 2025 Energy Research & Social Science article Environmental Science Energy and Environment Impacts Open access 4 citations Algorithm-Enhanced Fuel Poverty Prediction Using Household Characteristics, Socio-Economic Factors, and Clustering Analysis 2025 SSRN Electronic Journal preprint Environmental Science Energy and Environment Impacts Open access 9 citations 2 results References 0