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Synopsis
Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence examines computational approaches for analyzing spatial relationships and generating poverty prediction indicators through artificial intelligence. The book introduces spatial correlation, socioeconomic data analysis, predictive modeling, machine learning, and geographic data analysis. It considers how spatial patterns and related variables can be examined to identify relationships associated with poverty conditions and support prediction. Attention is given to data preparation, feature representation, spatial analysis, model development, prediction, and evaluation. The discussion connects artificial intelligence with poverty measurement and analytics, providing a foundation for socioeconomic assessment. The book is intended for students, researchers, data scientists, economists, and scientists interested in artificial intelligence, machine learning, spatial analysis, socioeconomic modeling.
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence (Paperback or Softback)
Edité par
Shark Nail 9/2/2026, 2026
ISBN 10 : 196211645X
ISBN 13 : 9781962116459
Neuf
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Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Paperback or Softback. Etat : New. Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence. Book. N° de réf. du vendeur BBS-9781962116459
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence (Paperback)
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Paperback. Etat : new. Paperback. Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence examines computational approaches for analyzing spatial relationships and generating poverty prediction indicators through artificial intelligence. The book introduces spatial correlation, socioeconomic data analysis, predictive modeling, machine learning, and geographic data analysis. It considers how spatial patterns and related variables can be examined to identify relationships associated with poverty conditions and support prediction. Attention is given to data preparation, feature representation, spatial analysis, model development, prediction, and evaluation. The discussion connects artificial intelligence with poverty measurement and analytics, providing a foundation for socioeconomic assessment. The book is intended for students, researchers, data scientists, economists, and scientists interested in artificial intelligence, machine learning, spatial analysis, socioeconomic modeling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781962116459
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781962116459
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 146 pages. 6.00x0.31x9.00 inches. In Stock. N° de réf. du vendeur x-196211645X
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 146 pp. Englisch. N° de réf. du vendeur 9781962116459
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence (Paperback)
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Paperback. Etat : new. Paperback. Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence examines computational approaches for analyzing spatial relationships and generating poverty prediction indicators through artificial intelligence. The book introduces spatial correlation, socioeconomic data analysis, predictive modeling, machine learning, and geographic data analysis. It considers how spatial patterns and related variables can be examined to identify relationships associated with poverty conditions and support prediction. Attention is given to data preparation, feature representation, spatial analysis, model development, prediction, and evaluation. The discussion connects artificial intelligence with poverty measurement and analytics, providing a foundation for socioeconomic assessment. The book is intended for students, researchers, data scientists, economists, and scientists interested in artificial intelligence, machine learning, spatial analysis, socioeconomic modeling. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781962116459
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
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Paperback. Etat : new. Paperback. Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence examines computational approaches for analyzing spatial relationships and generating poverty prediction indicators through artificial intelligence. The book introduces spatial correlation, socioeconomic data analysis, predictive modeling, machine learning, and geographic data analysis. It considers how spatial patterns and related variables can be examined to identify relationships associated with poverty conditions and support prediction. Attention is given to data preparation, feature representation, spatial analysis, model development, prediction, and evaluation. The discussion connects artificial intelligence with poverty measurement and analytics, providing a foundation for socioeconomic assessment. The book is intended for students, researchers, data scientists, economists, and scientists interested in artificial intelligence, machine learning, spatial analysis, socioeconomic modeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781962116459
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Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence examines computational approaches for analyzing spatial relationships and generating poverty prediction indicators through artificial intelligence. The book introduces spatial correlation, socioeconomic data analysis, predictive modeling, machine learning, and geographic data analysis. It considers how spatial patterns and related variables can be examined to identify relationships associated with poverty conditions and support prediction. Attention is given to data preparation, feature representation, spatial analysis, model development, prediction, and evaluation. The discussion connects artificial intelligence with poverty measurement and analytics, providing a foundation for socioeconomic assessment. The book is intended for students, researchers, data scientists, economists, and scientists interested in artificial intelligence, machine learning, spatial analysis, socioeconomic modeling. N° de réf. du vendeur 9781962116459
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