Описание: This report presents the results of a feasibility study on generating high-quality poverty statistics in the Philippines using satellite imagery, geospatial data, and powerful machine-learning algorithms.
The Òleave no one behindÓ principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a countryÕs population. Conducted by ADB in collaboration with the Philippine Statistics Authority and the World Data Lab, the study aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines.
Описание: 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.
Автор: Brunsdon Chris Название: Introduction to R for Spatial Analysis and Mapping ISBN: 1526428504 ISBN-13(EAN): 9781526428509 Издательство: Sage Publications Рейтинг: Цена: 7126.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a new edition of the accessible and student-friendly `how to` for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.
Автор: Kakwani, Nanak (visiting Professor Of Economics, Visiting Professor Of Economics, China Institute For Income Distribution At Beijing Normal University Название: Economic inequality and poverty ISBN: 0198852843 ISBN-13(EAN): 9780198852841 Издательство: Oxford Academ Рейтинг: Цена: 9187.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Economic Inequality and Poverty examines how methods for measuring inequality and poverty have evolved. Kakwani and Son draw on household surveys to demonstate a framework based on economic variables that can be applied to draw up evidence-based policies.
Автор: Sumner Andy Название: Global Poverty ISBN: 019870352X ISBN-13(EAN): 9780198703525 Издательство: Oxford Academ Рейтинг: Цена: 6255.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An in-depth analysis of the global poverty `problem` and how it is framed and understood. The volume questions existing theories of the causes of global poverty and argues that global poverty is gradually becoming a question of national distribution.
Автор: Little, Daniel Название: The Paradox Of Wealth And Poverty ISBN: 0813316421 ISBN-13(EAN): 9780813316420 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Chris Brunsdon, Lex Comber Название: An Introduction to R for Spatial Analysis and Mapping ISBN: 1526428490 ISBN-13(EAN): 9781526428493 Издательство: Sage Publications Рейтинг: Цена: 19800.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a new edition of the accessible and student-friendly `how to` for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.
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