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This book complements the growing body of literature exploring the relationships between arts and cartography . It is distinct from the previous ones by its main focus: The multiple ways of representing a database. In the context of the exponential increase of the volume of geospatial data available, addressing this issue becomes critical and has not yet received much attention. Furthermore, the content of the database – environmental issues in the city – gives a strong social and political texture to the project. The expected audience for this book are academic as well as students interested in the relationships between art and cartography, place and technology, power and representations. This book could serve as an inspiration for local groups and communities dealing with environmental injustice all over the world. Finally, at a local scale, this book could become a major reference for individuals, communities and institutions interested in environmental issues in the city of Montreal.

Human ecology -- Research -- Methodology. --- Human ecology -- Research. --- Human ecology. --- Environmental mapping --- Earth & Environmental Sciences --- Geography --- Cartography --- Environmental Sciences --- Environmental value mapping --- Value mapping, Environmental --- Geography. --- Earth sciences. --- Geographical information systems. --- Geographical Information Systems/Cartography. --- Earth Sciences, general. --- Cosmography --- Earth sciences --- World history --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geosciences --- Environmental sciences --- Physical sciences

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Submarine topography. --- Ocean bottom --- Benthos --- Environmental mapping --- Submarine topography --- Habitat --- Bottom relief, Ocean --- Relief, Submarine --- Topography, Submarine --- Geomorphology --- Environmental value mapping --- Value mapping, Environmental --- Cartography --- Benthal organisms --- Benthic organisms --- Benthonic organisms --- Aquatic biology --- Aquatic organisms --- Bottom of the ocean --- Floor of the ocean --- Ocean floor --- Sea bed --- Sea floor --- Seafloor --- Seabed --- Subsoil of the ocean floor

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This university-level reference work covers a range of remote sensing techniques that are useful for mapping and visualizing benthic environments on continental shelves. Chapters focus on overviews of the history and future of seafloor mapping techniques, cartographical visualisation and communication of seafloor mapping, and practical applications of new technologies. Seabed mapping is referenced by high-resolution seismic methods, sidescan sonar, multibeam bathymetry, satellite imagery, LiDAR, acoustic backscatter techniques, and soundscape ecology monitoring, use of autonomous underwater vehicles, among other methods. The wide breadth of subjects in this volume provides diversified coverage of seafloor imaging. This collection of modern seafloor mapping techniques summarizes the state of the art methods for mapping continental shelves.

Marine Science --- Earth & Environmental Sciences --- Ocean bottom --- Continental shelf --- Environmental mapping. --- Benthos --- Habitat --- Benthal organisms --- Benthic organisms --- Benthonic organisms --- Environmental value mapping --- Value mapping, Environmental --- Bottom of the ocean --- Floor of the ocean --- Ocean floor --- Sea bed --- Sea floor --- Seafloor --- Seabed --- Subsoil of the ocean floor --- Aquatic biology --- Aquatic organisms --- Continental margins --- Territorial waters --- Submarine topography --- Cartography --- Oceanography. --- Geographical information systems. --- Geographical Information Systems/Cartography. --- Geotechnical Engineering & Applied Earth Sciences. --- Coastal Sciences. --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Oceanography, Physical --- Oceanology --- Physical oceanography --- Thalassography --- Earth sciences --- Marine sciences --- Ocean --- Geography --- Geotechnical engineering. --- Coasts. --- Coastal landforms --- Coastal zones --- Coastlines --- Landforms --- Seashore --- Engineering, Geotechnical --- Geotechnics --- Geotechnology --- Engineering geology

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This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN – the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESS such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. Dr. Vladimir Krasnopolsky holds a MSc and a PhD in Physics obtained from the Moscow State University. After graduating, he has worked there as a Senior Research Scientist at the Institute of Nuclear Physics, before becoming a Physical Scientist at the NCEP/NWS/NOAA as well as an Adjunct Professor at the Earth System Science Interdisciplinary Center of the University of Maryland. Dr. Krasnopolsky is a member (former Chair) of American Meteorological Society Committee on Artificial Intelligence Applications to Environmental Science and a member of IEEE/CSI/INNS Working Group (Task Force) on Computational Intelligence in Earth and Environmental Sciences.  Dr. Krasnopolsky has published over a hundred papers in scientific journals and a book on quantum mechanics.  “This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (...) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (...) will find it an invaluable guide to neural network methods.” (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada)   “Vladimir Krasnopolsky has been the “founding father” of applying computation intelligence methods to environmental science; (...) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding of best modeling practices in environmental science.” (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA)   “Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (...) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (...) to address both theoretical and practical complex problems that may (or will!) arise in a complex system."  ” (Prof. Eugenia Kalnay, University of Maryland, USA)  .

Earth sciences -- Data processing. --- Geological modeling. --- Neural networks (Computer science). --- Earth & Environmental Sciences --- Meteorology & Climatology --- Earth sciences --- Neural networks (Computer science) --- Environmental mapping. --- Computer simulation. --- Environmental value mapping --- Value mapping, Environmental --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Geosciences --- Earth sciences. --- Oceanography. --- Atmospheric sciences. --- Artificial intelligence. --- Remote sensing. --- Computational intelligence. --- Earth Sciences. --- Atmospheric Sciences. --- Computational Intelligence. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Artificial Intelligence (incl. Robotics). --- Remote Sensing/Photogrammetry. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Natural computation --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Aerophysics --- Atmospheric sciences --- Physical meteorology --- Geophysics --- Oceanography, Physical --- Oceanology --- Physical oceanography --- Thalassography --- Marine sciences --- Ocean --- Environmental sciences --- Physical sciences --- Cartography --- Engineering. --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology --- Neural networks (Computer science) . --- Atmosphere