Charles Booth's London Poverty Maps

Charles Booth's London Poverty Maps PDF Author: Iain Sinclair
Publisher: Thames & Hudson
ISBN: 9780500022290
Category : SOCIAL SCIENCE
Languages : en
Pages : 0

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Book Description
This insightful, evocative, and sumptuous volume brings Charles Booth's landmark survey of late nineteenth-century London to a new audience.

Charles Booth's London Poverty Maps

Charles Booth's London Poverty Maps PDF Author: Iain Sinclair
Publisher: Thames & Hudson
ISBN: 9780500022290
Category : SOCIAL SCIENCE
Languages : en
Pages : 0

Get Book Here

Book Description
This insightful, evocative, and sumptuous volume brings Charles Booth's landmark survey of late nineteenth-century London to a new audience.

Choosing a Method for Poverty Mapping

Choosing a Method for Poverty Mapping PDF Author: Benjamin Davis
Publisher: Food & Agriculture Org.
ISBN: 9789251049204
Category : Business & Economics
Languages : en
Pages : 64

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Book Description
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.

More Than a Pretty Picture

More Than a Pretty Picture PDF Author: Tara Bedi
Publisher: World Bank Publications
ISBN: 0821369326
Category : Social Science
Languages : en
Pages : 308

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Book Description
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.

Where are the Poor?

Where are the Poor? PDF Author: Norbert Henninger
Publisher:
ISBN:
Category : Poverty
Languages : en
Pages : 80

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Book Description
Publ. in association with UNEP/GRID-Arendal, Norway.

Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand

Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand PDF Author: Asian Development Bank
Publisher: Asian Development Bank
ISBN: 9292627694
Category : Business & Economics
Languages : en
Pages : 141

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Book Description
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.

Mapping Poverty and Livestock in the Developing World

Mapping Poverty and Livestock in the Developing World PDF Author:
Publisher: ILRI (aka ILCA and ILRAD)
ISBN: 9789291461097
Category : Livestock
Languages : en
Pages : 128

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Book Description


Poverty Maps of Bangladesh 2010

Poverty Maps of Bangladesh 2010 PDF Author: World Bank
Publisher: World Bank Publications
ISBN:
Category :
Languages : en
Pages : 20

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Book Description
"Poverty maps are powerful visuals that enable government, civil society, and development partners to identify poorer areas with greater accuracy. In Bangladesh, there is considerable demand from policy makers, planners, and researchers for more disaggregated poverty estimates to better understand the geographical variations and spatial inequality in growth and poverty. Responding to this demand, the Bangladesh Bureau of Statistics initiated the poverty mapping exercise in September 2012. The World Bank and the World Food Programme (WFP) are pleased to have had the opportunity to contribute to this updating exercise. With strong commitment, sound policies, and effective government, Bangladesh has enormous potential to offer its people a better, brighter future. We look forward to furthering our partnership with the Government of Bangladesh and development partners to jointly tackle development challenges faced by the people of Bangladesh - to end poverty and boost shared prosperity in the country. "

Analysis of Poverty Data by Small Area Estimation

Analysis of Poverty Data by Small Area Estimation PDF Author: Monica Pratesi
Publisher: John Wiley & Sons
ISBN: 1118815017
Category : Mathematics
Languages : en
Pages : 485

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Book Description
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.

Creating a Poverty Map for Azerbaijan

Creating a Poverty Map for Azerbaijan PDF Author: Angela Baschieri
Publisher: World Bank Publications
ISBN: 0051208164
Category : Azerbaijan
Languages : en
Pages : 72

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Book Description
Abstract: ""Poverty maps"--That is, graphic representations of spatially disaggregated estimates of welfare-are being increasingly used to geographically target scarce resources. But the development of detailed poverty maps in many low resource settings is hampered because of data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the census to produce estimates of income or expenditure for small areas or at developing alternative welfare rankings, such as asset indices, using existing census data. This paper develops a set of poverty maps for Azerbaijan that can be used by different users. Two alternative approaches to the measurement and mapping of welfare are adopted. First, a map is derived using imputed household consumption. This involves combining information from the 2002 Household Budget Survey (HBS) with 1999 census data. Second, an alternative map is constructed using an asset index based on data from the 1999 census to produce estimates of welfare at the rayon level. This provides a unique opportunity to compare the welfare rankings obtained at the regional level under the two alternative approaches. In order to visually present the spatially disgaggregated estimates of welfare in Azerbaijan, this paper has also produced a digital census map of Azerbaijan. This involved matching the census enumeration areas to a digital settlement map of Azerbaijan. Therefore, it is now possible for the State Statistical Committee of Azerbaijan to display graphically the results of the 1999 census of Azerbaijan along with other data."--World Bank web site.

Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines PDF Author: Asian Development Bank
Publisher: Asian Development Bank
ISBN: 9292621327
Category : Business & Economics
Languages : en
Pages : 159

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Book Description
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, in collaboration with the Philippine Statistics Authority and the World Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines. This report documents the results of the study, which capitalized on satellite imagery, geospatial data, and powerful machine learning algorithms to augment conventional data collection and sample survey techniques.