GIS and Machine Learning for Small Area Classifications in Developing Countries - Couverture rigide

Ojo, Adegbola

Couverture rigide

ISBN 10 : 0367322447 ISBN 13 : 9780367322441

Editeur : CRC Press, 2020

Synopsis

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.

A propos du livre

À propos de l?auteur

Dr. Adegbola Ojo is Director of Teaching and Learning, Programme Leader, and Senior Lecturer in Urban Geography and Applications of Big Data at the School of Geography, University of Lincoln, UK. He received his PhD in Quantitative Human Geography from the University of Sheffield, his MSc in Geographic Information Science from the University College London, and his BSc in Geography and Planning Sciences from the University of Ado-Ekiti, Nigeria. His research interests are focused in understanding and representing social and spatial dynamics and intricacies of population behavior within a framework of Interdisciplinary Studies, Population Geography, Quantitative Social Science, and Computer Modeling. His research activities are grouped around the development and application of small area classifications, geographic information systems and geographic information science for informing public policy. Dr. Ojo has published many monographs and research articles with reputable journals. He has designed and delivered lectures, workshops, seminars, tutorials, practical labs, and assessments to a range of undergraduate and graduate students and working professionals.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 0367322447
• ISBN 13: 9780367322441
• Reliure: Relié
• Nombre de pages: 268
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible