Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand PDF Download

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.

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.

Author: Fleur Johns
Publisher: Oxford University Press
ISBN: 0197648878
Category :
Languages : en
Pages : 281

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Book Description
Like many other areas of life, humanitarian practice and thinking are being transformed by information and communications technology. Despite this, the growing digitization of humanitarianism has been a relatively unnoticed dimension of global order. Based on more than seven years of data collection and interdisciplinary research, #Help presents a ground-breaking study of digital humanitarianism and its ramifications for international law and politics. Global problems and policies are being reconfigured, regulated, and addressed through digital interfaces developed for humanitarian ends. #Help analyses how populations, maps, and emergencies take shape on the global plane when given digital form and explores the reorientation of nation states' priorities and practices of governing around digital data collection imperatives. This book also illuminates how the growing prominence of digital interfaces in international humanitarian work is sustained and shaped by law and policy. #Help reveals new vectors of global inequality and new forms of global relation taking effect in the here and now. To understand how major digital platforms are seeking to extend their serviceable lives, and to see how global order might take shape in the future, it is essential to grasp the perils and possibilities of digital humanitarianism. #Help will transform thinking about what is at stake in the use of digital interfaces in the humanitarian field and about how, where, and for whom we are making the global order of tomorrow.

Author: Chetan Sharma
Publisher: Springer Nature
ISBN: 3031656830
Category :
Languages : en
Pages : 295

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Book Description

Author: Asian Development Bank
Publisher:
ISBN: 9789292623135
Category :
Languages : en
Pages : 54

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Book Description
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.

Author: David Bigman
Publisher: World Bank Publications
ISBN: 9780821346259
Category : Political Science
Languages : en
Pages : 328

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Book Description
.."in many developing countries, there are large differences in economic conditions and the standard of living between regions, and even between communities within the same region. In many countries, poverty has a clear geographic dimension, since the poor are often concentrated in pockets of poverty. Therefore, the design of poverty alleviation policies must also have a signficant spatial component." Although development projects are carefully designed and meticulously evaluated for cost effectiveness and benefits, too many of them are not sufficiently targeted geographically. The growing availability and use of spatial data, organized in a computer system such as a geographical information system (GIS), makes it more feasible to analyze the impact of projects in specific locales and to achieve more effective targeting. 'Geographical Targeting for Poverty Alleviation' introduces the basic concepts of a GIS. It also demonstrates how to organize geographic and nongeographic data. In addition, it presents different methods for using the data of the Household Income and Expenditure Survey, together with other surveys and the population census, to provide estimates for the standard of living and the incidence of poverty incidence in different geographical areas of a country. Ultimately, these estimates should be used to establish guidelines for targeting poverty alleviation projects. This publication illustrates different GIS applications for identifying the project's target population, determining the project's spatial 'sphere of influence' or deciding where to locate public facilities. This publication is of interest to task managers, economists, development researchers, and geographers.

Author: Yuji Murayama
Publisher: Springer Science & Business Media
ISBN: 9400706715
Category : Science
Languages : en
Pages : 301

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Book Description
Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!

Author: Asian Development Bank
Publisher: Asian Development Bank
ISBN: 9292622234
Category : Business & Economics
Languages : en
Pages : 152

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Book Description
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.

Author: Doryane Kermel-Torrès
Publisher:
ISBN:
Category : History
Languages : en
Pages : 216

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Book Description
This atlas portrays Thailand's spatial structures and presents the country's social and economic development in a territorial context. The Kingdom of Thailand has undergone many changes throughout its long history, and most recently during its vigorous growth from the middle of the 1980s. The maps and text give a comprehensive interpretation of Thailand's internal dynamics as well as its regional and global integration. This is the first atlas of its kind for Thailand. It includes a wide range of spatial information and maps using various computer-assisted techniques. Seventy plates of maps, accompanied with commentary, cover significant topics such as: Thailand's relation to the world-system, its place in Eastern Asia, and its population, infrastructure, urban network, production, income, education, intra-regional dynamics. The volume brings together experts in a variety of fields and methods. It will be a valuable tool for teachers and students, planners and entrepreneurs -- indeed, for anyone eager to understand recent changes and prepare future diagnoses. Book jacket.

Author: Lalit Kumar
Publisher: MDPI
ISBN: 3038978841
Category : Science
Languages : en
Pages : 420

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Book Description
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.