GIS and Machine Learning for Small Area Classifications in Developing Countries, Ojo, Adegbola

Автор: Ojo, Adegbola
Название: GIS and Machine Learning for Small Area Classifications in Developing Countries
ISBN: 0367322447 ISBN-13(EAN): 9780367322441
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: Using two developing countries as case studies for small area segmentation techniques, the book connects new trans-disciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS. This offers stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings.

Автор: Thenkabail, Prasad S.
Название: Hyperspectral Indices and Image Classifications for Agriculture and Vegetation
ISBN: 1032475854 ISBN-13(EAN): 9781032475851
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Автор: Patrick Simon; Victor Pich?; Am?lie A. Gagnon
Название: Social Statistics and Ethnic Diversity
ISBN: 331936720X ISBN-13(EAN): 9783319367200
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This open access book examines the question of collecting and disseminating data on ethnicity and race in order to describe characteristics of ethnic and racial groups, identify factors of social and economic integration and implement policies to redress discrimination.

Автор: Patrick Simon; Victor Pich?; Am?lie A. Gagnon
Название: Social Statistics and Ethnic Diversity
ISBN: 3319200941 ISBN-13(EAN): 9783319200941
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This open access book examines the question of collecting and disseminating data on ethnicity and race in order to describe characteristics of ethnic and racial groups, identify factors of social and economic integration and implement policies to redress discrimination.

Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Название: Hyperspectral Indices and Image Classifications for Agriculture and Vegetation
ISBN: 1138066036 ISBN-13(EAN): 9781138066038
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Описание: Evaluating the performance of various types of hyperspectral vegetation indices in characterizing agricultural crops, this volume discusses non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, forest leaf chlorophyll content, among other applications.