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Zustand: new.

Zustand: new.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. 2020. 1st Edition. Hardcover. . . . . .

Zustand: New. 2020. 1st Edition. Hardcover. . . . . .

Zustand: New. 2020. 1st Edition. Hardback. . . . . .

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New.

Zustand: New. &Uumlber den AutorDominique Lafly is a Professor at the University of Toulouse, France. As a geographer, he is interested in the landscape, and the links between societies and their environment. Concerned with the issue of Big Data, he .

Zustand: New. &Uumlber den AutorDominique Lafly is a Professor at the University of Toulouse, France. As a geographer, he is interested in the landscape, and the links between societies and their environment. Concerned with the issue of Big Data, he .

Zustand: New. &Uumlber den AutorDominique Lafly is a Professor at the University of Toulouse, France. As a geographer, he is interested in the landscape, and the links between societies and their environment. Concerned with the issue of Big Data, he .

Hardcover. Zustand: Brand New. 260 pages. 9.25x6.25x0.75 inches. In Stock.

Hardcover. Zustand: Brand New. 318 pages. 9.50x6.50x1.00 inches. In Stock.

Hardcover. Zustand: Brand New. 294 pages. 9.50x6.50x1.00 inches. In Stock.

Zustand: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. 2020. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - This book, presented in three volumes, examines ¿environmental¿ disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.…

Buch. Zustand: Neu. Neuware - This book, presented in three volumes, examines ¿environmental¿ disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.…