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Geographical Information Systems Theory, Applications and Management: 9th International Conference, GISTAM 2023, Prague, Czech Republic, April 25–27, 2023, Revised Selected Papers (Communications in Computer and Information Science #2107)
by Cédric Grueau Armanda Rodrigues Lemonia RagiaThis book constitutes the refereed post-proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023, held in Prague, Czech Republic during April 25–27, 2023. The 6 full papers included in this book were carefully reviewed and selected from 37 submissions. They focus on challenges in geo-spatial data sensing, observation, representation, processing, visualization, sharing and managing, in all aspects concerning both information communication and technologies (ICT) as well as management information systems and knowledge-based systems.
Geographical Information Systems Theory, Applications and Management: 4th International Conference, GISTAM 2018, Funchal, Madeira, Portugal, March 17–19, 2018, Revised Selected Papers (Communications in Computer and Information Science #1061)
by Lemonia Ragia Cédric Grueau Robert LauriniThis book constitutes the thoroughly refereed proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018, held in Funchal, Madeira, Portugal, in March 2018.The 7 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection.
Geographical Information Systems Theory, Applications and Management (Communications in Computer and Information Science #936)
by Lemonia Ragia Robert Laurini Jorge Gustavo RochaThis book constitutes extended, revised and selected contributions from the Second International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2016, held in Rome, Italy, in April 2016. The 10 papers presented in this volume were carefully reviewed and selected from a total of 33 submissions. They contribute to the understanding of relevant trends of current research on the topic, including urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS, and location detection.
The Geographies of COVID-19: Geospatial Stories of a Global Pandemic (Global Perspectives on Health Geography)
by Melinda Laituri Robert B. Richardson Junghwan KimThis volume of case studies focuses on the geographies of COVID-19 around the world. These geographies are located in both time and space concentrating on both first- and second-order impacts of the COVID-19 pandemic. First-order impacts are those associated with the immediate response to the pandemic that include tracking number of deaths and cases, testing, access to hospitals, impacts on essential workers, searching for the origins of the virus and preventive treatments such as vaccines and contact tracing. Second-order impacts are the result of actions, practices, and policies in response to the spread of the virus, with longer-term effects on food security, access to health services, loss of livelihoods, evictions, and migration. Further, the COVID-19 pandemic will be prolonged due to the onset of variants as well as setting the stage for similar future events. This volume provides a synopsis of how geography and geospatial approaches are used to understand this event and the emerging “new normal.” The volume's approach is necessarily selective due to the global reach of the pandemic and the broad sweep of second-order impacts where important issues may be left out. However, the book is envisioned as the prelude to an extended conversation about adaptation to complex circumstances using geospatial tools.Using case studies and examples of geospatial analyses, this volume adopts a geographic lens to highlight the differences and commonalities across space and time where fundamental inequities are exposed, the governmental response is varied, and outcomes remain uncertain. This moment of global collective experience starkly reveals how inequality is ubiquitous and vulnerable populations – those unable to access basic needs – are increasing. This place-based approach identifies how geospatial analyses and resulting maps depict the pandemic as it ebbs and flows across the globe. Data-driven decision making is needed as we navigate the pandemic and determine ways to address future such events to enable local and regional governments in prioritizing limited resources to mitigate the long-term consequences of COVID-19.
Geohazards: Analysis, Modelling and Forecasting (Advances in Natural and Technological Hazards Research #53)
by Sandeep Parveen Kumar Himanshu Mittal Roshan KumarThis book presents a comprehensive analysis of diverse aspects of geohazards. The growing vulnerability and exposure to failures in risk reduction and policy-making increases the severity of geohazard impacts by many folds. Therefore, detailed geohazard analysis, modelling and forecasting are needed to reduce the impacts of extreme events.An interdisciplinary approach to hazard mitigation provides an advanced tool for risk reduction. The book thus summarizes recent modelling and analysis techniques for hazard assessment and risk mitigation. Topics discussed in the book are hazard and risk associated with earthquakes, vulnerability assessment for landslides and avalanches, the assessment of tsunami risk in coastal regions, the implementation of early warning systems to prevent catastrophic consequences, climate change risk modelling and risk communication. The convergent approach with the aspects of natural, engineering, and social sciences attracts a vast audience working to advance disaster science. This book also significantly facilitates the acquisition of policy-relevant knowledge for risk reduction, which is beneficial to the general public.
Geoinformatics and Data Analysis: Selected Proceedings of ICGDA 2022 (Lecture Notes on Data Engineering and Communications Technologies #143)
by Salah Bourennane Petr KubicekThis book contains the proceedings of the 5th International Conference on Geoinformatics and Data Analysis (ICGDA 2022), held in January 21–23, Paris, France. Geoinformatics helps to support basic scientific inquiry as well as address the complex social and environmental challenges. It becomes very important technology to decision-makers across a wide range of disciplines such as computer science, information technology, software engineering, biogeography, geography, conservation, architecture, spatial analysis and reinforcement learning. The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in the area of geoinformatics and data analysis, including software and information engineering, environmental geography and geographic information system, which makes the book a valuable reference for researchers, engineers and university students who are working in the field.
Geoinformatics in Sustainable Ecosystem and Society: 7th International Conference, GSES 2019, and First International Conference, GeoAI 2019, Guangzhou, China, November 21–25, 2019, Revised Selected Papers (Communications in Computer and Information Science #1228)
by Yichun Xie Yong Li Ji Yang Jianhui Xu Yingbin DengThis book constitutes the refereed proceedings of the 7th International Conference on Geoinformatics in Sustainable Ecosystem and Society, GSES 2019, and First International Conference on Geospatial Artificial Intelligence for Urban Computing, GeoAI 2019, held in Guangzhou, China, in November 2019.The 29 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers are organized according to the following topical sections: the applications of geospatial data in the sustainable development of social economy; new approaches for earth observation data acquisition and processing; remote sensing monitoring of resources and environment and intelligent analysis; intelligent perceptions and services of spatial information; ecology, environment and social sustainable development.
Geolocation in iOS: Mobile Positioning and Mapping on iPhone and iPad
by Alasdair AllanTake advantage of iPhone and iPad sensors and advanced geolocation technologies to build state-of-the-art location applications. In this concise hands-on guide, author Alasdair Allan (Learning iOS Programming) takes you deep inside Apple’s Core Location framework, Map Kit, and other iOS tools, using illustrative examples and sample Objective-C code. Learn how to build location-aware apps for both iPhones and iPads, using code that detects hardware features and then adjusts your app’s behavior.If you’re a programmer with iOS experience, or a Mac developer familiar with Objective-C, this book helps you get off to a solid start in location-based app development.You’ll learn about:Core Location: Understand the significant-change location service and geo-fencing capabilitiesMap Kit: Embed maps into your application’s viewsMagnetometer: Use the on-board sensor as a digital compassGeocoding capabilities: Translate geographic coordinates into place names, and vice versaHeat maps: Get a code walkthrough for displaying these maps on top of a standard MapKit viewThird-party SDKs: Add unique geo-location capabilities to your app from SkyHook Wireless, MapBox, and other providers
Geolocation Techniques
by Camillo Gentile Ronald Raulefs Nayef Alsindi Carole TeolisBasics of Distributed and Cooperative Radio and Non-Radio Based Geolocation provides a detailed overview of geolocation technologies. The book covers the basic principles of geolocation, including ranging techniques to localization technologies, fingerprinting and localization in wireless sensor networks. This book also examines the latest algorithms and techniques such as Kalman Filtering, Gauss-Newton Filtering and Particle Filtering.
Geomatics and Geospatial Technologies: 24th Italian Conference, ASITA 2021, Genoa, Italy, July 1-2, 9, 16, 23, 2021, Proceedings (Communications in Computer and Information Science #1507)
by Enrico Borgogno-Mondino Paola ZamperlinThis volume constitutes selected papers presented at the 24th Italian Conference on Geomatics and Geospatial Technologies, ASITA 2021, held as five sessions takind place between 1 and 23 July, 2021. Due to the COVID-19 pandemic the conference was held online.The 28 papers were thoroughly reviewed and selected from 139 submissions. They are organized in topical sections on remote sensing applications; geomatics and natural hazards; geomatics for cultural heritage and natural resources; sensors performance and data processing; geomatics and land management.
Geomatics for Environmental Monitoring: 26th Italian Conference, ASITA 2023, Virtual Event, December 18–20, 2023, Revised Selected Papers (Communications in Computer and Information Science #2088)
by Paola Zamperlin Enrico Borgogno MondinoThis book constitutes the proceedings of the 26th Italian Conference on Geomatics for Environmental Monitoring: From Data to Services, ASITA 2023, which was held as a virtual event during December 18-20, 2023. The 19 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Natural hazards monitoring and modelling; technological services for territory planning and Management; methodological advancements in data analysis and processing.
Geomatics for Green and Digital Transition: 25th Italian Conference, ASITA 2022, Genova, Italy, June 20–24, 2022, Proceedings (Communications in Computer and Information Science #1651)
by Enrico Borgogno-Mondino Paola ZamperlinThis book constitutes the proceedings of the 25th Italian Conference on Geomatics for Green and Digital Transition, ASITA 2022, held in Genova, Italy, in June 2022.The 33 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Positioning, Navigation and Operational Geodesy; Data exploitation: services and tools; Geo(big)data, GeoAnalytics, AI and Decision Support; Agriculture and Forestry; Cultural Heritage and Landscape Analysis; Environmental Monitoring and Analysis; and Sustainable Development and Climate Change.
Geomatik: Eine Einführung
by Josefine KlausWas ist eine Mercatorabbildung? Wie berechnet man Koordinaten? Wie funktioniert ein Geoinformationssystem? Diese und viele weitere Fragen beantwortet „Geomatik - Eine Einführung“ und bietet damit zum ersten Mal die theoretischen Grundlagen der Ausbildung zur/zum Geomatiker:in in einem Werk.Folgende Themen werden auf der Grundlage des bundesweit einheitlichen Rahmenlehrplans der Berufsausbildung behandelt:Organisation des Vermessungswesen Erfassung, Bearbeitung und Präsentation von Geodaten Verwaltung von GeodatenGrundlagen des Web- und Printdesigns Selbstständige Entwicklung von GeoproduktenDie Inhalte werden ergänzt durch ein auf die Prüfungen angepasstes Lernangebot und zahlreiche weiterführende Informationsquellen. Dadurch entsteht ein umfassendes und zeitgemäßes Handbuch für den Berufsschulunterricht und zur Prüfungsvorbereitung im Bereich der Geoinformatik, Vermessung und Kartographie. Aus einer modernen, digitalen Wissensvermittlung sind die visuellen und kartenbasierten Ansätze der Geomatik nicht mehr wegzudenken. Die in diesem Buch angebotenen Informationen ermöglichen es angehenden Geomatiker:innen und Interessierten selbstständig eigene Geoprodukte zu erstellen.
Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing
by Eduardo Bayro-CorrochanoThe goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra.Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems.
Geometric Algebra Applications Vol. II: Robot Modelling and Control
by Eduardo Bayro-CorrochanoThis book presents a unified mathematical treatment of diverse problems in the general domain of robotics and associated fields using Clifford or geometric alge- bra. By addressing a wide spectrum of problems in a common language, it offers both fresh insights and new solutions that are useful to scientists and engineers working in areas related with robotics. It introduces non-specialists to Clifford and geometric algebra, and provides ex- amples to help readers learn how to compute using geometric entities and geomet- ric formulations. It also includes an in-depth study of applications of Lie group theory, Lie algebra, spinors and versors and the algebra of incidence using the universal geometric algebra generated by reciprocal null cones. Featuring a detailed study of kinematics, differential kinematics and dynamics using geometric algebra, the book also develops Euler Lagrange and Hamiltoni- ans equations for dynamics using conformal geometric algebra, and the recursive Newton-Euler using screw theory in the motor algebra framework. Further, it comprehensively explores robot modeling and nonlinear controllers, and discusses several applications in computer vision, graphics, neurocomputing, quantum com- puting, robotics and control engineering using the geometric algebra framework. The book also includes over 200 exercises and tips for the development of future computer software packages for extensive calculations in geometric algebra, and a entire section focusing on how to write the subroutines in C++, Matlab and Maple to carry out efficient geometric computations in the geometric algebra framework. Lastly, it shows how program code can be optimized for real-time computations. An essential resource for applied physicists, computer scientists, AI researchers, roboticists and mechanical and electrical engineers, the book clarifies and demon- strates the importance of geometric computing for building autonomous systems to advance cognitive systems research.
Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing
by Eduardo Bayro-CorrochanoThe goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain like Clifford Fourier Transforms, Deep Learning and Geometric Algebra Convolutional Neural Networks, Quaternion Quantum Fourier Transform and Geometric Quantum Computing. Topics and features · Introduces nonspecialists to Clifford, or geometric algebra and by example encourages the reader to learn to compute using geometric entities and geometric formulations. · A study in depth for applications of Lie group theory, Lie algebra, projective geometry, and the algebra of incidence using the conformal geometric algebra. · Features the computing frameworks of the linear model n-dimensional affine plane and the nonlinear model of Euclidean space known as the horosphere, and addresses the relationships of these models to conformal, affine, and projective geometries. · Includes a thorough study of Integral transforms: Quaternion and Clifford Transforms, quaternion analytic signal, monogenic signals, Hilbert transform, Riesz transform, Clifford Fourier Transform, Quaternion Wavelet transforms, Quaternion Quantum Fourier Transform, 3D Radon Transform and Hough-Transform in geometric algebra. · Color image processing using the color model HSV, Quaternion Split rotors and motors, and the space-time Lorentz transform. · Geometric neural computing using Split Quaternions, Geometric Algebra neural networks, Clifford Support Vector Machine and Neuro Control. · Thorough discussion of several tasks of computer vision, graphics, neurocomputing, and robotics. machine learning, Deep Learning and CNNs, and Geometric Quantum Computing using the geometric algebra framework. · 130 exercises and hints for the development of future computer software packages for extensive calculations in geometric algebra. An entire section is dedicated to explaining how one should write the subroutines in C++, Phyton, Matlab, and Maple to carry out efficient geometric computations in the geometric algebra framework. Furthermore, it is shown how program code can be optimized for real-time computations. The book is an essential resource for applied mathematicians, physicists, computer scientists, graphics engineering, AI and Machine Learning researchers, roboticists and mechanical and electrical engineers, neurocomputing researchers, neuroscientists, and quantum computing specialists. It clarifies and demonstrates the importance of geometric computing for building autonomous systems and pushes forward advances in geometric cybernetics research.
A Geometric Algebra Invitation to Space-Time Physics, Robotics and Molecular Geometry (SpringerBriefs in Mathematics)
by Carlile Lavor Sebastià Xambó-Descamps Isiah ZaplanaThis book offers a gentle introduction to key elements of Geometric Algebra, along with their applications in Physics, Robotics and Molecular Geometry. Major applications covered are the physics of space-time, including Maxwell electromagnetism and the Dirac equation; robotics, including formulations for the forward and inverse kinematics and an overview of the singularity problem for serial robots; and molecular geometry, with 3D-protein structure calculations using NMR data. The book is primarily intended for graduate students and advanced undergraduates in related fields, but can also benefit professionals in search of a pedagogical presentation of these subjects.
Geometric and Topological Inference (Cambridge Texts in Applied Mathematics #57)
by Jean-Daniel Boissonnat Frédéric Chazal Mariette YvinecGeometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.
A Geometric Approach to the Unification of Symbolic Structures and Neural Networks (Studies in Computational Intelligence #910)
by Tiansi DongThe unification of symbolist and connectionist models is a major trend in AI. The key is to keep the symbolic semantics unchanged. Unfortunately, present embedding approaches cannot. The approach in this book makes the unification possible. It is indeed a new and promising approach in AI. -Bo Zhang, Director of AI Institute, TsinghuaIt is indeed wonderful to see the reviving of the important theme Nural Symbolic Model. Given the popularity and prevalence of deep learning, symbolic processing is often neglected or downplayed. This book confronts this old issue head on, with a historical look, incorporating recent advances and new perspectives, thus leading to promising new methods and approaches. -Ron Sun (RPI), on Governing Board of Cognitive Science SocietyBoth for language and humor, approaches like those described in this book are the way to snickerdoodle wombats. -Christian F. Hempelmann (Texas A&M-Commerce) on Executive Board of International Society for Humor Studies
Geometric Computing
by Eduardo Bayro-CorrochanoThis book offers a gentle introduction to Clifford geometric algebra, an advanced mathematical framework, for applications in perception action systems. Part I, is written in an accessible way allowing readers to easily grasp the mathematical system of Clifford algebra. Part II presents related topics. While Part 3 features practical applications for Computer Vision, Robotics, Image Processing and Neural Computing. Topics and Features include: theory and application of the quaternion Fourier and wavelet transforms, thorough discussion on geometric computing under uncertainty, an entire chapter devoted to the useful conformal geometric algebra, presents examples and hints for the use of public domain computer programs for geometric algebra. The modern framework for geometric computing highlighted will be of great use for communities working on image processing, computer vision, artificial intelligence, neural networks, neuroscience, robotics, control engineering, human and robot interfaces, haptics and humanoids.
Geometric Concepts for Geometric Design
by null Hartmut Prautzsch null Wolfgang BoehmThis book is a comprehensive tool both for self-study and for use as a text in classical geometry. It explains the concepts that form the basis for computer-aided geometric design.
Geometric Methods in Signal and Image Analysis
by Hamid Krim A. Ben HamzaThis comprehensive guide offers a new approach for developing and implementing robust computational methodologies that uncover the key geometric and topological information from signals and images. With the help of detailed real-world examples and applications, readers will learn how to solve complex signal and image processing problems in fields ranging from remote sensing to medical imaging, bioinformatics, robotics, security, and defence. With an emphasis on intuitive and application-driven arguments, this text covers not only a range of methods in use today, but also introduces promising new developments for the future, bringing the reader up-to-date with the state of the art in signal and image analysis. Covering basic principles as well as advanced concepts and applications, and with examples and homework exercises, this is an invaluable resource for graduate students, researchers, and industry practitioners in a range of fields including signal and image processing, biomedical engineering, and computer graphics.
Geometric Modeling and Mesh Generation from Scanned Images (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series #6)
by Yongjie Jessica ZhangCutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena Geometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method (FEM) to solve problems in computational biology, medicine, materials science, and engineering. Based on the author’s recent research and course at Carnegie Mellon University, the text explains the fundamentals of medical imaging, image processing, computational geometry, mesh generation, visualization, and finite element analysis. It also explores novel and advanced applications in computational biology, medicine, materials science, and other engineering areas. One of the first to cover this emerging interdisciplinary field, the book addresses biomedical/material imaging, image processing, geometric modeling and visualization, FEM, and biomedical and engineering applications. It introduces image-mesh-simulation pipelines, reviews numerical methods used in various modules of the pipelines, and discusses several scanning techniques, including ones to probe polycrystalline materials. The book next presents the fundamentals of geometric modeling and computer graphics, geometric objects and transformations, and curves and surfaces as well as two isocontouring methods: marching cubes and dual contouring. It then describes various triangular/tetrahedral and quadrilateral/hexahedral mesh generation techniques. The book also discusses volumetric T-spline modeling for isogeometric analysis (IGA) and introduces some new developments of FEM in recent years with applications.
Geometric Modeling of Fractal Forms for CAD
by Christian Gentil Gilles Gouaty Dmitry SokolovDesigning and controlling complex shapes like porous volumes and rough surfaces is a challenge. Fractal geometry is an interesting approach which considerably simplify the problem. Even though underlying concepts reduce the set possible shapes, they generate a surprising variety of shapes. In this book we present a formalism to design such complex objects for geometric aided geometry design applications. The goal of this formalism is to provide to the end user the possibility to manipulate fractal objects as a standard euclidean object with standard tools of CAD system. This formalism encompass curves, surfaces, volumes, as well as NURBS and subdivision surfaces. All theoretical and practical aspects are developed, from the design up to 3D printing.
Geometric Modeling with Splines: An Introduction
by Elaine Cohen Richard F. Riesenfeld Gershon ElberWritten by researchers who have helped found and shape the field, this book is a definitive introduction to geometric modeling. The authors present all of the necessary techniques for curve and surface representations in computer-aided modeling with a focus on how the techniques are used in design.