Mapping poverty using mobile phone and satellite data

Journal of the Royal Society Interface

Volumn 14, Issue 127, 2017, Pages

  Steele, Jessica E ^a,b   Sundsøy, Pål Roe ^c   Pezzulo, Carla ^a   Alegana, Victor A ^a   Bird, Tomas J ^a   Blumenstock, Joshua ^d   Bjelland, Johannes ^c   Engø Monsen, Kenth ^c   De Montjoye, Yves Alexandre ^e   Iqbal, Asif M ^f   Hadiuzzaman, Khandakar N ^f   Lu, Xin ^b,g,h   Wetter, Erik ^b,i   Tatem, Andrew J ^a,b,j   Bengtsson, Linus ^b,g  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b FLOWMINDER FOUNDATION   (Sweden)

^c TELENOR RESEARCH   (Norway)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

^f Grameenphone BD Ltd   (Bangladesh)

^g KAROLINSKA INSTITUTE   (Sweden)

^h NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

ⁱ STOCKHOLM SCHOOL OF ECONOMICS   (Sweden)

^j NATIONAL INSTITUTES OF HEALTH   (United States)

more..

Author keywords

Bayesian geostatistical modelling; Mobile phone data; Poverty mapping; Remote sensing

Indexed keywords

CELLULAR TELEPHONES; MAPPING; MOBILE PHONES; POPULATION STATISTICS; SURVEYS; TELEPHONE SETS;

GEO-SPATIAL DATA; GEOSTATISTICAL MODELLING; HIGH SPATIAL RESOLUTION; LOW AND MIDDLE INCOME COUNTRIES; MOBILE PHONE DATUM; POVERTY MAPPINGS; TRADITIONAL APPROACHES; URBAN AND RURAL AREAS;

REMOTE SENSING;

ARTICLE; BANGLADESH; BAYES THEOREM; DATA COLLECTION METHOD; DATA PROCESSING; GEOSTATISTICAL ANALYSIS; HEALTH SURVEY; HOUSEHOLD INCOME; HUMAN; LOW INCOME COUNTRY; MIDDLE INCOME COUNTRY; MOBILE PHONE; POVERTY; REMOTE SENSING; RURAL AREA; SOCIAL NETWORK; SOCIAL STATUS; URBAN AREA; URBAN POPULATION; PREDICTIVE VALUE; TELECOMMUNICATION; THEORETICAL MODEL;

CELL PHONES; HUMANS; MODELS, THEORETICAL; POVERTY; PREDICTIVE VALUE OF TESTS; SATELLITE COMMUNICATIONS;

EID: 85015199087     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2016.0690     Document Type: Article

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