Results 1 to 10 of about 455 (106)
Poverty and inequality mapping in the Commonwealth of Dominica [PDF]
Estudios Económicos, 2009 Poverty and inequality maps - spatial descriptions of the distribution of poverty and inequality - are most useful to policy-makers and researchers when they are finely disaggregated, that is when they want to represent small geographic units, such as ...
Francesca Ballini +3 more
doaj +5 more sources
Quantifying and Mapping Global Data Poverty. [PDF]
PLoS ONE, 2015 Digital information technologies, such as the Internet, mobile phones and social media, provide vast amounts of data for decision-making and resource management.
Mathias Leidig, Richard M Teeuw
doaj +6 more sources
GIS MAPPING OF POVERTY IN RUSSIA [PDF]
InterCarto. InterGIS, 2015 The article deals with the specifics of geoinformation mapping of poverty and social bottom at different taxonomic levels (country, Federal District, the subject, regions, municipalities), the basic approaches and methods.
V. M. Eshrokov +2 more
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Exploring machine learning trends in poverty mapping: A review and meta-analysis
Science of Remote SensingMachine Learning (ML) has rapidly advanced as a transformative tool across numerous fields, offering new avenues for addressing poverty-related challenges.
Badri Raj Lamichhane +2 more
doaj +3 more sources
Journal of Computing Research and Innovation, 2021 Poverty is a fundamental problem that several districts and cities have, especially in West Java province. One important aspect to support the Poverty Reduction Strategy is the availability of poverty data that is accurate and on target with good ...
Agnia Dwi Khasanah +1 more
doaj +5 more sources
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data
Frontiers in Big Data, 2022 Ending poverty in all its forms everywhere is the number one Sustainable Development Goal of the UN 2030 Agenda. To monitor the progress toward such an ambitious target, reliable, up-to-date and fine-grained measurements of socioeconomic indicators are ...
Simone Piaggesi +10 more
doaj +1 more source
A Map of the Poor or a Poor Map?
Mathematics, 2021 This paper evaluates the performance of different small area estimation methods using model and design-based simulation experiments. Design-based simulation experiments are carried out using the Mexican Intra Censal survey as a census of roughly 3.9 ...
Paul Corral +3 more
doaj +1 more source
, 2022 Geographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally been measured by data on consumption, income, or assets.
Virginia Ziulu +3 more
openaire +3 more sources
Mapping the Poverty Rate of The South Sulawesi Region [PDF]
SHS Web of Conferences, 2022 This research purpose to presenting information on a smaller regional scale and comparing the conditions of each region. Researchers conducted a poverty mapping technique based on geospatial information.
Said Muh +3 more
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Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators
Survey Research Methods, 2012 There has been rising interest in research on poverty mapping over the last decade, with the European Union proposing a core of statistical indicators on poverty commonly known as Laeken Indicators. They include the incidence and the intensity of poverty
Caterina Giusti +3 more
doaj +1 more source