Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence (Paperback)

Language: English

Published by Shark Nail, 2026

196211645X / 9781962116459

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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. …

Seller Inventory # 9781962116459

Title
Spatial Correlation and Poverty Prediction Index (PPI) Generation Using Artificial Intelligence (Paperback)
Author
Jenifer Lowan
Publisher
Shark Nail
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
196211645X
ISBN 13
9781962116459

AussieBookSeller

Truganina, VIC, Australia

5-star seller

AbeBooks seller since June 22, 2007

Shipping rates from Australia to U.S.A.

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