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Sinopsis
This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.
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Acerca del autor
Sandeep Narayan Kundu, Ph.D., is a Geoscientist with over 20 years of experience in the Geospatial Domain. He currently is a Spatial Geoscientist with Fugro Singapore Marine where is conducts marine survey and maps seabed hazards. Previously, he taught at the Department of Geography and the Department of Civil and Environmental Engineering at National University of Singapore, where he researched and taught subjects on Geographical Information Systems and Exploration Geoscience. Dr. Kundu is a British Council Fellow, and his interests lie in advancing geospatial technologies for Earth and Environmental modeling.
De la contraportada
This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.
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Geospatial Data Analytics and Urban Applications (Advances in 21st Century Human Settlements)
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Geospatial Data Analytics and Urban Applications
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Springer Verlag, Singapore, SG, 2023
ISBN 10: 9811676518
ISBN 13: 9789811676512
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Paperback. Condición: New. 2022 ed. This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving. Nº de ref. del artículo: LU-9789811676512
Cantidad disponible: Más de 20 disponibles
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Geospatial Data Analytics and Urban Applications
Publicado por
Springer Verlag, Singapore, SG, 2023
ISBN 10: 9811676518
ISBN 13: 9789811676512
Nuevo
Paperback
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Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. 2022 ed. This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving. Nº de ref. del artículo: LU-9789811676512
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Geospatial Data Analytics and Urban Applications
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