Decentralized Spatial Computing
Decentralized Spatial Computing

Author: Matt Duckham

Publisher: Springer Science & Business Media

Published: 2012-07-27

Total Pages: 330

ISBN-13: 3642308538

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Computing increasingly happens somewhere, with that geographic location important to the computational process itself. Many new and evolving spatial technologies, such as geosensor networks and smartphones, embody this trend. Conventional approaches to spatial computing are centralized, and do not account for the inherently decentralized nature of "computing somewhere": the limited, local knowledge of individual system components, and the interaction between those components at different locations. On the other hand, despite being an established topic in distributed systems, decentralized computing is not concerned with geographical constraints to the generation and movement of information. In this context, of (centralized) spatial computing and decentralized (non-spatial) computing, the key question becomes: "What makes decentralized spatial computing special?" In Part I of the book the author covers the foundational concepts, structures, and design techniques for decentralized computing with spatial and spatiotemporal information. In Part II he applies those concepts and techniques to the development of algorithms for decentralized spatial computing, stepping through a suite of increasingly sophisticated algorithms: from algorithms with minimal spatial information about their neighborhoods; to algorithms with access to more detailed spatial information, such as direction, distance, or coordinate location; to truly spatiotemporal algorithms that monitor environments that are dynamic, even using networks that are mobile or volatile. Finally, in Part III the author shows how decentralized spatial and spatiotemporal algorithms designed using the techniques explored in Part II can be simulated and tested. In particular, he investigates empirically the important properties of a decentralized spatial algorithm: its computational efficiency and its robustness to unavoidable uncertainty. Part III concludes with a survey of the opportunities for connecting decentralized spatial computing to ongoing research and emerging hot topics in related fields, such as biologically inspired computing, geovisualization, and stream computing. The book is written for students and researchers of computer science and geographic information science. Throughout the book the author's style is characterized by a focus on the broader message, explaining the process of decentralized spatial algorithm design rather than the technical details. Each chapter ends with review questions designed to test the reader's understanding of the material and to point to further work or research. The book includes short appendices on discrete mathematics and SQL. Simulation models written in NetLogo and associated source code for all the algorithms presented in the book can be found on the author's accompanying website.

Geospatial Analysis and Modelling of Urban Structure and Dynamics
Geospatial Analysis and Modelling of Urban Structure and Dynamics

Author: Bin Jiang

Publisher: Springer Science & Business Media

Published: 2010-06-16

Total Pages: 465

ISBN-13: 9048185726

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A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

Computational Movement Analysis
Computational Movement Analysis

Author: Patrick Laube

Publisher: Springer

Published: 2014-09-02

Total Pages: 98

ISBN-13: 3319102680

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This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research.

Behaviour Monitoring and Interpretation - BMI
Behaviour Monitoring and Interpretation - BMI

Author: B. Gottfried

Publisher: IOS Press

Published: 2009-09-22

Total Pages: 368

ISBN-13: 1607504596

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This book is concerned with behaviour monitoring and interpretation with regard to two main areas of focus: the investigation of motion patterns and ambient assisted living. It presents state-of-the-art contributions on research in both these areas. The first section consists of chapters discussing recent developments in monitoring and representing behaviours, with a particular focus on movement-based behaviour. It includes: methods for monitoring and analysing pedestrian motion behaviours; typical motion patterns of single people and groups of people. In particular, a number of qualitative spatial representations are presented for describing patterns topologically and ordinally. The next part of the volume is more application-driven. Several case studies present the monitoring and support of people with cognitive impairments in smart environments, showing in particular how AI techniques are applied in these contexts and also how ambient assisted physical activity systems help to increase the engagement of seniors in physical activities. Investigations to show how monitored behaviours can be interpreted in smart environments are then described: a survey on knowledge-intensive methods for intention recognition; the detection of high-level daily activities by analysis of team behaviours in smart environments and a model for how ambient intelligence systems can automatically discover patterns of user behaviours. Finally, the publication discusses the infrastructure of smart environments.

Geographic Data Mining and Knowledge Discovery
Geographic Data Mining and Knowledge Discovery

Author: Harvey J. Miller

Publisher: CRC Press

Published: 2009-05-27

Total Pages: 486

ISBN-13: 1420073982

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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Geographic Information Science
Geographic Information Science

Author: Ningchuan Xiao

Publisher: Springer

Published: 2012-09-02

Total Pages: 381

ISBN-13: 364233024X

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This book constitutes the refereed proceedings of the 7th International Conference on Geographic Information Science, GIScience 2012, held in Columbus, OH, USA in September 2012. The 26 full papers presented were carefully reviewed and selected from 57 submissions. While the traditional research topics are well reflected in the papers, emerging topics that involve new research hot-spots such as cyber infrastructure, big data, web-based computing also occupy a significant portion of the volume.

Autonomic Communication
Autonomic Communication

Author: Mikhail I. Smirnov

Publisher: Springer Science & Business Media

Published: 2005-07

Total Pages: 290

ISBN-13: 3540274170

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This book constitutes the thoroughly refereed post-proceedings of the First International IFIP Workshop on Autonomic Communication, WAC 2004, held in Berlin, Germany in October 2004. The 18 revised full papers presented together with 2 invited papers and 3 panel summaries were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on network management; models and protocols; network composition; negotiation and deployment; immunity and resilence; and meaning, context, and situated behaviour.

Applications of Artificial Intelligence in Wireless Communication Systems
Applications of Artificial Intelligence in Wireless Communication Systems

Author: Kumar, Karan

Publisher: IGI Global

Published: 2023-06-05

Total Pages: 307

ISBN-13: 166847350X

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The application of artificial intelligence technology to 5G wireless communications is now appropriate to address the design of optimized physical layers, complicated decision-making, network management, and resource optimization tasks within networks. In exploring 5G wireless technologies and communication systems, artificial intelligence is a powerful tool and a research topic with numerous potential fields of application that require further study. Applications of Artificial Intelligence in Wireless Communication Systems explores the applications of artificial intelligence for the optimization of wireless communication systems, including channel models, channel state estimation, beamforming, codebook design, signal processing, and more. Covering key topics such as neural networks, deep learning, and wireless systems, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

GIS
GIS

Author: Matt Duckham

Publisher: CRC Press

Published: 2023-07-30

Total Pages: 493

ISBN-13: 1466587202

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Includes an entirely new chapter on AI and GIS, including ontologies and the Semantic Web, knowledge representation (KR) and spatial reasoning, machine learning and spatial analysis, and neural networks and deep learning. Presents new material reflecting the advances made in cloud computing, stream computing, and sensor networks, as well as extensively revised and updated content on cartography, visualization, and interaction design. Connects the technology to the social aspects and implications of GIS, including privacy and fair information practices, FATE (fairness, accountability, transparency, and ethics), and codes of conduct for responsible use of GIS. Integrates the necessary background to foundational areas, such as databases and data structures, algorithms and indexes, system architecture and AI, provided in context so readers new to those topics can still understand the concepts being discussed. Incorporates over 20 carefully explained spatial algorithms; over 60 inset boxes with in-depth material that enriches the central topics; and more than 300 color figures to support the reader in mastering key concepts. Welcomes a new coauthor, Qian (Chayn) Sun, to the third edition who brings her expertise in topics such as web mapping, cloud computing, critical geography, and machine learning with big spatial data.