Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In The Philippines


Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In The Philippines
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Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In The Philippines


Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In The Philippines
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Author : Asian Development Bank
language : en
Publisher: Asian Development Bank
Release Date : 2021-03-01

Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In The Philippines written by Asian Development Bank and has been published by Asian Development Bank this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-01 with Business & Economics categories.


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.



Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In Thailand


Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In Thailand
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Author : Asian Development Bank
language : en
Publisher: Asian Development Bank
Release Date : 2021-04-01

Mapping The Spatial Distribution Of Poverty Using Satellite Imagery In Thailand written by Asian Development Bank and has been published by Asian Development Bank this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-01 with Business & Economics categories.


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.



Help


 Help
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Author : Fleur Johns
language : en
Publisher: Oxford University Press
Release Date : 2023-02-14

Help written by Fleur Johns and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with categories.


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.



Mapping Poverty Through Data Integration And Artificial Intelligence


Mapping Poverty Through Data Integration And Artificial Intelligence
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Author : Asian Development Bank
language : en
Publisher:
Release Date : 2020-09

Mapping Poverty Through Data Integration And Artificial Intelligence written by Asian Development Bank and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09 with categories.


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.



The Application Of A Spatial Regression Model To The Analysis And Mapping Of Poverty


The Application Of A Spatial Regression Model To The Analysis And Mapping Of Poverty
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Author : Alessandra Petrucci
language : en
Publisher: Food & Agriculture Org.
Release Date : 2003

The Application Of A Spatial Regression Model To The Analysis And Mapping Of Poverty written by Alessandra Petrucci and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.


Poverty mapping in developing countries is used to identify ways to improve living standards and, until now, methods have been generally based on econometric models which do not take into account the spatial dependence that may exist in human societies, with regard to income distribution. This report uses spatial regression techniques to model more accurately the distribution of poverty across regions in Ecuador.



Combining Census And Survey Data To Study Spatial Dimensions Of Poverty A Case Study Of Ecuador


Combining Census And Survey Data To Study Spatial Dimensions Of Poverty A Case Study Of Ecuador
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Author : Peter F. Lanjouw
language : en
Publisher:
Release Date : 2016

Combining Census And Survey Data To Study Spatial Dimensions Of Poverty A Case Study Of Ecuador written by Peter F. Lanjouw and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.


Combining sample survey data and census data can yield predicted poverty rates for all households covered by the census. This offers a means to construct detailed poverty maps. But standard errors on the estimated poverty rates are not negligible.Poverty maps, providing information on the spatial distribution of living standards, are an important tool for policymaking and economic research. Policymakers can use such maps to allocate transfers and inform policy design. The maps can also be used to investigate the relationship between growth and distribution inside a country, thereby complementing research using cross-country regressions. The development of detailed poverty maps is difficult because of data constraints. Household surveys contain data on income or consumption but are typically small. Census data cover a large sample but do not generally contain the right information. Poverty maps based on census data but constructed in an ad-hoc manner can be unreliable.Hentschel, Lanjouw, Lanjouw, and Poggi demonstrate how sample survey data and census data can be combined to yield predicted poverty rates for all households covered by the census. This represents an improvement over ad hoc poverty maps. However, standard errors on the estimated poverty rates are not negligible, so additional efforts to cross-check results are warranted.This paper - a joint product of the Development Research Group and the Poverty Reduction and Economic Management Network, Poverty Division - is part of a larger effort in the Bank to study the spatial distribution and determinants of poverty. Jesko Hentschel may be contacted at [email protected].



Where Are The Poor


Where Are The Poor
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Author : Norbert Henninger
language : en
Publisher:
Release Date : 2002

Where Are The Poor written by Norbert Henninger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Poverty categories.


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



Spatial Analysis And Modeling In Geographical Transformation Process


Spatial Analysis And Modeling In Geographical Transformation Process
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Author : Yuji Murayama
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-26

Spatial Analysis And Modeling In Geographical Transformation Process written by Yuji Murayama and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-26 with Science categories.


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!



Where The Poor Are


Where The Poor Are
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Author :
language : en
Publisher:
Release Date : 2006

Where The Poor Are written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Developing countries categories.


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.



Multitemporal Remote Sensing


Multitemporal Remote Sensing
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Author : Yifang Ban
language : en
Publisher: Springer
Release Date : 2016-12-01

Multitemporal Remote Sensing written by Yifang Ban and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Technology & Engineering categories.


Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.