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A Guidebook On Mapping Poverty Through Data Integration And Artificial Intelligence
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Book Synopsis A Guidebook on Mapping Poverty Through Data Integration and Artificial Intelligence by : Asian Development Bank
Download or read book A Guidebook on Mapping Poverty Through Data Integration and Artificial Intelligence written by Asian Development Bank and published by . This book was released on 2021-05-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guidebook identifies tools and resources that can help generate poverty statistics using satellite imagery, geospatial data, and machine-learning algorithms to augment conventional data collection and sample survey techniques. The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators to be estimated for different segments of a country's population. The guidebook was based on a feasibility study by ADB, in collaboration with the Philippine Statistics Authority, the National Statistical Office of Thailand, and the World Data Lab, that aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics. It also serves as an accompanying guide to the Key Indicators for Asia and the Pacific 2020 special supplement focusing on mapping poverty estimates.
Book Synopsis Mapping Poverty Through Data Integration and Artificial Intelligence by :
Download or read book Mapping Poverty Through Data Integration and Artificial Intelligence written by and published by . This book was released on 2020 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special supplement to the Key Indicators for Asia and the Pacific 2020 discusses how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery.
Book Synopsis Mapping Poverty Through Data Integration and Artificial Intelligence by : Asian Development Bank
Download or read book Mapping Poverty Through Data Integration and Artificial Intelligence written by Asian Development Bank and published by . This book was released on 2020-09 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special supplement to the Key Indicators for Asia and the Pacific 2020 discusses how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery. As part of a special ADB knowledge initiative, computer vision techniques and machine-learning algorithms were applied on datasets from the Philippines and Thailand to demonstrate increased granularity of poverty estimation using artificial intelligence. The report identifies practical considerations and technical requirements for this novel approach to mapping the spatial distribution of poverty. It also outlines the investments required by national statistics offices to fully capitalize on the benefits of incorporating innovative data sources into conventional work programs.
Book Synopsis Practical Guidebook on Data Disaggregation for the Sustainable Development Goals by : Asian Development Bank
Download or read book Practical Guidebook on Data Disaggregation for the Sustainable Development Goals written by Asian Development Bank and published by Asian Development Bank. This book was released on 2021-05-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "leave no one behind" principle espoused by the 2030 Agenda for Sustainable Development requires measures of progress for different segments of the population. This entails detailed disaggregated data to identify subgroups that might be falling behind, to ensure progress toward achieving the Sustainable Development Goals (SDGs). The Asian Development Bank and the Statistics Division of the United Nations Department of Economic and Social Affairs developed this practical guidebook with tools to collect, compile, analyze, and disseminate disaggregated data. It also provides materials on issues and experiences of countries regarding data disaggregation for the SDGs. This guidebook is for statisticians and analysts from planning and sector ministries involved in the production, analysis, and communication of disaggregated data.
Book Synopsis Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand by : Asian Development Bank
Download or read book Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand written by Asian Development Bank and published by Asian Development Bank. This book was released on 2021-04-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank (ADB), in collaboration with the National Statistical Office of Thailand and the Word Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand. This report documents the results of the study, providing insights on data collection requirements, advanced algorithmic techniques, and validation of poverty estimates using artificial intelligence to complement traditional data sources and conventional survey methods.
Book Synopsis Analysis of Poverty Data by Small Area Estimation by : Monica Pratesi
Download or read book Analysis of Poverty Data by Small Area Estimation written by Monica Pratesi and published by John Wiley & Sons. This book was released on 2016-02-23 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
Book Synopsis More Than a Pretty Picture by : Tara Bedi
Download or read book More Than a Pretty Picture written by Tara Bedi and published by World Bank Publications. This book was released on 2007 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The allocation of resources and the design of policies tailored to local-level conditions require highly disaggregated information. Data on poverty at the local level is typically not available because most household surveys are not representative past the regional level. This volume aims to promote the effective use of Small Area Estimation poverty maps in policy making. It presents the range of policies and interventions which have been informed by poverty maps, focusing on the political economy of poverty maps and the key elements to their effective use by policy makers. The volume also looks at the future of poverty maps in terms of new techniques and new areas of application.
Book Synopsis Choosing a Method for Poverty Mapping by : Benjamin Davis
Download or read book Choosing a Method for Poverty Mapping written by Benjamin Davis and published by Food & Agriculture Org.. This book was released on 2003 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents and compares a large selection of poverty and food-security mapping methodologies in use. The choice of a poverty-mapping methodology depends on a number of logical and legitimate considerations, such as the objectives of the poverty mapping exercise, philosophical views on poverty, limits on data and analytical capacity, and cost.
Book Synopsis Poverty Mapping in the Age of Machine Learning by : Corral
Download or read book Poverty Mapping in the Age of Machine Learning written by Corral and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Where are the Poor? by : Norbert Henninger
Download or read book Where are the Poor? written by Norbert Henninger and published by . This book was released on 2002 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publ. in association with UNEP/GRID-Arendal, Norway.
Download or read book Where the Poor are written by and published by . This book was released on 2006 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since Charles Booth produced his remarkably detailed maps depicting inequality in Victorian London, poverty maps have been used to inform policy. But not until recently have high-resolution maps become available, making it possible to interpret and apply poverty maps in creative new ways to better understand poverty and improve policy making on behalf of the poor. Where the Poor Are: An Atlas of Poverty brings together a diverse collection of maps from different continents and countries, depicting small area estimates of vital development indicators at unprecedented levels of spatial detail. The atlas is a product of the CIESIN Global Poverty Mapping Project, begun in 2004, which was made possible by support from the Japan Policy and Human Resource Development Fund, in collaboration with The World Bank. The atlas of 21 full-page poverty maps reveals possible causal patterns and provides practical examples of how the data and tools have been used, and may be used, in applied decisions and poverty interventions.
Download or read book Poverty Mapping written by Virginia Ziuli and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. However, recent advances in computing power and the emergence of new methods has made it increasingly feasible to produce reliable, cost-effective, and timely poverty maps by extracting features from novel data sources such as satellite imagery, call detail records, and internet connectivity indicators. This paper explores the methodological implications of using both traditional and novel data sources to generate poverty maps. Specifically, it examines the applications of (i) survey and census data; (ii) Global System for Mobile Communications, smartphone, and Wi-Fi indicators; (iii) call detail records; (iv) daytime and nighttime remote sensing imagery; and (v) the Survey of Well-being via Instant and Frequent Tracking for poverty mapping. Each section provides a brief overview of the data requirements, methodology, and applicability considerations of the data source under consideration. In addition, the paper discusses the usefulness and limitations of each approach in the field of evaluation, providing concrete examples of poverty maps created from each of the listed data sources.
Book Synopsis Asset-based Measures for Machine-learning Poverty Maps by : Peizan Sheng
Download or read book Asset-based Measures for Machine-learning Poverty Maps written by Peizan Sheng and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a machine learning approach to estimate internationally-and-intertemporally comparable, decomposable, structural asset poverty measures. These measures are founded in theory, link directly to official poverty lines, and are amenable to ML-based prediction using Earth Observation data. Using household survey data from Tanzania, Uganda, and Malawi, we model the relationship between household consumption expenditures and productive assets, directly linking flow-based poverty measures with asset-based structural poverty measures. The poverty measures we construct can serve as new, improved dependent variables for ML poverty prediction. We also assess whether our poverty estimates vary from readily available poverty estimates and whether this difference in poverty measures matters.
Book Synopsis Going Beyond Income Measures in Mapping Poverty by : Exaltacion E. Lamberte
Download or read book Going Beyond Income Measures in Mapping Poverty written by Exaltacion E. Lamberte and published by . This book was released on 2003 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Poverty Mapping with Aggregate Census Data by : Nicholas Minot
Download or read book Poverty Mapping with Aggregate Census Data written by Nicholas Minot and published by . This book was released on 2004 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High-Resolution Rural Poverty Mapping in Pakistan With Ensemble Deep Learning by : Felix Agyemang
Download or read book High-Resolution Rural Poverty Mapping in Pakistan With Ensemble Deep Learning written by Felix Agyemang and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: High resolution poverty mapping supports evidence-based policy and research, yet about half of countries lack the requisite survey data to generate useful poverty maps. To overcome this challenge, new non-traditional data sources and deep learning techniques are increasingly used to create small-area estimates of poverty in low- and middle-income countries (LMICs). Convolutional Neural Networks (CNN) trained on satellite imagery are one of the most popular and effective approaches in this literature. However, the spatial resolution of poverty estimates has remained quite coarse, particularly in rural areas which are critical for governments to support. To resolve this, we use an ensemble transfer learning approach involving three CNN models to predict chronic poverty at a finer 1 km2 scale in rural Sindh, Pakistan. We train the model with spatially noisy georeferenced household survey containing poverty scores for 1.9 million anonymized households in Sindh Province using publicly available inputs, including daytime and nighttime satellite imagery and accessibility data. Results from rigorous cross-validation and ground truthing of predictions with an original survey suggest the model performs well in identifying the chronic poor in both arid and non-arid regions, outperforming previous studies in key accuracy metrics. Our inexpensive and scalable approach could be used to improve poverty targeting in low- and middle-income countries.
Book Synopsis Dorset Poverty Mapping by : Dorset Poverty Mapping Group
Download or read book Dorset Poverty Mapping written by Dorset Poverty Mapping Group and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
