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Langue: anglais
Edité par Asian Development Bank 4/20/2021, 2021
ISBN 10 : 9292627686 ISBN 13 : 9789292627683
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Ajouter au panierPaperback or Softback. Etat : New. Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand. Book.
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Langue: anglais
Edité par Asian Development Bank, PH, 2021
ISBN 10 : 9292627686 ISBN 13 : 9789292627683
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Ajouter au panierPaperback. Etat : New. This report presents the results of a feasibility study on high-quality poverty statistics in Thailand using satellite imagery, geospatial data, and advanced algorithmic techniques to complement conventional survey methods.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. ADB collaborated with the National Statistical Office of Thailand and the Word Data Lab for the feasibility study, which aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand.
Langue: anglais
Edité par Asian Development Bank, PH, 2021
ISBN 10 : 9292627686 ISBN 13 : 9789292627683
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Ajouter au panierPaperback. Etat : New. This report presents the results of a feasibility study on high-quality poverty statistics in Thailand using satellite imagery, geospatial data, and advanced algorithmic techniques to complement conventional survey methods.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. ADB collaborated with the National Statistical Office of Thailand and the Word Data Lab for the feasibility study, which aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand.
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Langue: anglais
Edité par Asian Development Bank, PH, 2021
ISBN 10 : 9292627686 ISBN 13 : 9789292627683
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Ajouter au panierPaperback. Etat : New. This report presents the results of a feasibility study on high-quality poverty statistics in Thailand using satellite imagery, geospatial data, and advanced algorithmic techniques to complement conventional survey methods.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. ADB collaborated with the National Statistical Office of Thailand and the Word Data Lab for the feasibility study, which aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand.
Langue: anglais
Edité par Asian Development Bank, PH, 2021
ISBN 10 : 9292627686 ISBN 13 : 9789292627683
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 36,20
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Ajouter au panierPaperback. Etat : New. This report presents the results of a feasibility study on high-quality poverty statistics in Thailand using satellite imagery, geospatial data, and advanced algorithmic techniques to complement conventional survey methods.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. ADB collaborated with the National Statistical Office of Thailand and the Word Data Lab for the feasibility study, which aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand.
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's 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.
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's 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.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This report presents the results of a feasibility study on high-quality poverty statistics in Thailand using satellite imagery, geospatial data, and advanced algorithmic techniques to complement conventional survey methods. 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. ADB collaborated with the National Statistical Office of Thailand and the Word Data Lab for the feasibility study, which aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 'leave no one behind' principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's 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.
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Ajouter au panierTaschenbuch. Etat : Neu. Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines | Asian Development Bank | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Asian Development Bank | EAN 9789292621315 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand | Asian Development Bank | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Asian Development Bank | EAN 9789292627683 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.