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Advances in Geographic Information Science

Geo-Data Revolution

Advances in Spatial Analysis and Natural Hazard Mapping

This book offers a comprehensive exploration of Multicriteria Decision Making (MCDM) models, presenting a novel approach to hazard monitoring that enhances decision-making. Using advanced GIS techniques and integrating both subjective and objective models, this volume addresses the complex interdependencies of various risk factors. The chapters here explore how MCDM methods can be effectively applied to assess and manage risks associated with natural disasters and other hazards. They highlight various MCDM methodologies such as the Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Attribute Utility Theory (MAUT), each offering unique approaches to complex decision problems. The significance of these methods lies in their ability to accommodate diverse preferences and handle uncertainties that are inherent in the monitoring and management of hazards.
One of the central themes of the book is the holistic approach to hazard monitoring. This approach integrates various factors including hazard severity, the vulnerability of assets, and the likelihood of occurrence, economic implications, and societal impacts into a cohesive framework. This enables stakeholders to achieve a comprehensive understanding of hazards and their potential effects, facilitating more informed and robust decision-making. By showcasing applications across different domains such as disaster management, environmental risk assessment, urban planning, and infrastructure development, the book demonstrates the practical utility of MCDM in real-world settings. Each chapter provides detailed case studies and comparative analyses that illustrate how these methodologies can be applied to optimize hazard monitoring and risk assessment.

This book offers a comprehensive exploration of Multicriteria Decision Making (MCDM) models, presenting a novel approach to hazard monitoring that enhances decision-making. Using advanced GIS techniques and integrating both subjective and objective models, this volume addresses the complex interdependencies of various risk factors. The chapters here explore how MCDM methods can be effectively applied to assess and manage risks associated with natural disasters and other hazards. They highlight various MCDM methodologies such as the Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Attribute Utility Theory (MAUT), each offering unique approaches to complex decision problems. The significance of these methods lies in their ability to accommodate diverse preferences and handle uncertainties that are inherent in the monitoring and management of hazards.One of the central themes of the book is the holistic approach to hazard monitoring. This approach integrates various factors including hazard severity, the vulnerability of assets, and the likelihood of occurrence, economic implications, and societal impacts into a cohesive framework. This enables stakeholders to achieve a comprehensive understanding of hazards and their potential effects, facilitating more informed and robust decision-making. By showcasing applications across different domains such as disaster management, environmental risk assessment, urban planning, and infrastructure development, the book demonstrates the practical utility of MCDM in real-world settings. Each chapter provides detailed case studies and comparative analyses that illustrate how these methodologies can be applied to optimize hazard monitoring and risk assessment.This book is useful to academic researchers and students in the fields of geography, environmental science, and disaster management, as well as professionals and policymakers involved in hazard assessment and mitigation. It serves as an essential resource for anyone looking to enhance their understanding of multicriteria decision-making processes and their application in the context of hazard monitoring and risk management.

A New Paradigm to Monitor Hazards

Progress in Multicriteria Decision Making Models

Geospatial Technologies in Coastal Ecologies Monitoring and Management

This contributed volume provides coverage of geospatial technology and modelling techniques that are useful for natural resource assessment at various scales, from regional to global. This makes it a valuable resource for researchers, practitioners, scientists, faculties and students interested in understanding how geospatial tools can be used to assess natural resources. The book provides numerous examples of how geospatial technology and modeling can be applied to different natural resource management scenarios, including forest management, wildlife conservation, water resources management, and climate change adaptation. The book takes an interdisciplinary approach to natural resource management, bringing together perspectives from ecology, environment, geography, geology, and other fields.

Current State, Challenges and Sustainability

Application of Geospatial Technology and Modelling on Natural Resources Management

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications.Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience. &nbsp;<div> </div>

Select Papers from the 17th IGU Spatial Data Handling Symposium 2016

Spatial Data Handling in Big Data Era

This book contains a selection of papers presented during a special workshop on Complexity Science that took part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data&nbsp;Era.

This book contains a selection of papers presented during a special workshop on Complexity Science&nbsp;organized as&nbsp;part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data&nbsp;Era.&nbsp;

Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016)

Agent-Based Models and Complexity Science in the Age of Geospatial Big Data

The contributed volume collects cutting-edge research in GeoComputational Analysis of Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of regional contexts.

GeoComputational Analysis and Modeling of Regional Systems

This book brings together contributions from researchers, GIS professionals and game designers to provide a first overview of this highly interdisciplinary field. Its scope ranges from fundamentals about games and play, geographic information technologies, game design and culture, to current examples and forward looking analysis. Of interest to anyone interested in creating and using Geogames, this volume serves as a channel for sharing early experiences, discussing technological challenges and solutions, and outlines a future research agenda. Games and play are part of human life, and in many game activities, place, space and geography plays a central role in determining the rules and interactions that are characteristic of each game. Recent developments and widespread access to mobile information, communication, and geospatial technologies have spurred a flurry of developments, including many variations of gaming activities that are situated in, or otherwise connected to the real world. &nbsp;

This book brings together contributions from researchers, GIS professionals and game designers to provide a first overview of this highly interdisciplinary field. Its scope ranges from fundamentals about games and play, geographic information technologies, game design and culture, to current examples and forward looking analysis. Of interest to anyone interested in creating and using Geogames, this volume serves as a channel for sharing early experiences, discussing technological challenges and solutions, and outlines a future research agenda. Games and play are part of human life, and in many game activities, place, space and geography plays a central role in determining the rules and interactions that are characteristic of each game. Recent developments and widespread access to mobile information, communication, and geospatial technologies have spurred a flurry of developments, including many variations of gaming activities that are situated in, or otherwise connected to the real world. &nbsp;

Game-based Approaches to the Analysis of Geo-Information

Geogames and Geoplay

In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data,&nbsp;such as that obtained through&nbsp;cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on&nbsp;human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.

In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such&nbsp;as that obtained through&nbsp;cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on&nbsp;human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.

The Experience in China

Big Data Support of Urban Planning and Management

This contributed volume collects cutting-edge research in Geographic Information Science &amp; Technologies, Location Modeling, and Spatial Analysis of Urban and Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of urban and regional contexts.

Spatial Analysis and Location Modeling in Urban and Regional Systems

This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.

This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.

Geocomputation 2015--The 13th International Conference

Advances in Geocomputation

Communications in Computer and Information Science

This book constitutes the refereed proceedings of the 30th International Conference on Information and Software Technologies, ICIST 2024, held in Kaunas, Lithuania, during October 17-18, 2024.


The 25 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: Intelligent Systems and Software Engineering Advance; Cyber Security; Intelligent Methods for Data Analysis and Computer-Aided Software Engineering; and Smart e-Learning Technologies and Applications.

30th International Conference, ICIST 2024, Kaunas, Lithuania, October 17–18, 2024, Proceedings

Information and Software Technologies

Der schnelle Einstieg in SQL Server 2022 für Administratoren und Entwickler

Das Standardwerk und ideale Praxisbuch für Ein- und Umsteiger, die schnell und effizient mit SQL Server 2022 arbeiten wollen. Aufeinander aufbauende Beispiele helfen Ihnen, die zugrundeliegenden Konzepte und Techniken zu verstehen.

Auf das Wesentliche konzentriert
Klemens Konopasek stellt neben ausgewählten neuen Features von SQL Server 2022 all jene Themen und Funktionen vor, die für den Einsatz, die Programmierung und Administration von Client-Server-Applikationen besonders wichtig sind und in der Praxis am häufigsten gebraucht werden wie z. B.:
. Installation und Konfiguration
. Grundlegende Werkzeuge wie grafische Tools und SQL
. Automatisierungslösungen
. Power-Tools für Entwickler
. Sicherheit
. Verwaltung von Berechtigungen
. Backup und Recovery

Dieses Arbeitsbuch bietet Ihnen einen kompakten und zugleich umfassenden Einstieg in die Arbeit mit SQL Server 2022. Alle Beispiele aus dem Buch, u.a. Datenbanken, SQL-Skripte und Visual Studio-Projekte finden Sie auf der Website zum Buch. 

Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches

Der schnelle Einstieg in SQL Server 2022 für Administratoren und Entwickler

Das Standardwerk und ideale Praxisbuch für Ein- und Umsteiger, die schnell und effizient mit SQL Server 2022 arbeiten wollen. Aufeinander aufbauende Beispiele helfen Ihnen, die zugrundeliegenden Konzepte und Techniken zu verstehen.

Auf das Wesentliche konzentriert
Klemens Konopasek stellt neben ausgewählten neuen Features von SQL Server 2022 all jene Themen und Funktionen vor, die für den Einsatz, die Programmierung und Administration von Client-Server-Applikationen besonders wichtig sind und in der Praxis am häufigsten gebraucht werden wie z. B.:
• Installation und Konfiguration
• Grundlegende Werkzeuge wie grafische Tools und SQL
• Automatisierungslösungen
• Power-Tools für Entwickler
• Sicherheit
• Verwaltung von Berechtigungen
• Backup und Recovery

Dieses Arbeitsbuch bietet Ihnen einen kompakten und zugleich umfassenden Einstieg in die Arbeit mit SQL Server 2022. Alle Beispiele aus dem Buch, u.a. Datenbanken, SQL-Skripte und Visual Studio-Projekte finden Sie auf der Website zum Buch. 

Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches

Der schnelle Einstieg

SQL Server 2022

Studies in Systems, Decision and Control

This book aims to propose a suitable contingency plan that can minimize the negative effects of future health crises while strengthening the resilience and adaptability of SMEs. This work is part of an integrated approach from the laboratory to the market, with the aim of analyzing and promoting practical and strategic solutions for the development of small and medium-sized enterprises (SMEs) in a crisis context. Following the results obtained, the scientific research team sought to broaden its scope of investigation by addressing the challenges that SMEs face during global crises. This is a crucial issue in a context where economic sustainability and security are increasingly threatened by unforeseen events such as global epidemics.

Experience from the COVID-19

SMEs in Agriculture and Food Industry During the Health Crises

This book offers a comprehensive exploration of the transformative potential of Web 3.0 and the metaverse, enabling entrepreneurs to harness the power of tokenization for the future. Delving into the core concepts and real-world applications, this book provides invaluable insights into the rapidly evolving landscape of decentralized technologies and virtual worlds. The main topics include an introduction to Web 3.0 and the metaverse, the role of blockchain and cryptocurrencies, the significance of decentralized finance (DeFi), non-fungible tokens (NFTs), and the emergence of virtual economies. By examining how these innovations are disrupting traditional business models and reshaping industries, the book elucidates their relevance and importance in today's world. This comprehensive guide also features case studies from leading enablers and users, showcasing successful implementations and revealing the challenges and opportunities associated with this new paradigm. The book aims to equip professional entrepreneurs with the knowledge and strategies necessary to navigate the complex world of Web 3.0 and the metaverse, ultimately leveraging tokenization to drive growth and innovation in their businesses. The target audience for this book includes professional entrepreneurs, business leaders, and anyone interested in understanding and participating in the rapidly evolving digital landscape.

A Guide to Web 3.0 and the Metaverse

Tokenizing the Future

Understanding Complex Systems

This book examines the problems of causal determinism and limited completeness in systems theory. Furthermore, the author analyzes options for complexity measurements that include systems’ autonomy and variability for causal inference—i.e., the ability to derive causal relationships from data recorded as a function of time. Such complexity measures present limitations in the derivation of absolute causality in complex systems and the recognition of relative and contextual causality, with practical consequences for causal inference and modeling. Finally, the author provides concepts for relative causal determinism. As a result, new ideas are presented to explore the frontiers of systems theory, specifically in relation to biological systems and teleonomy, i.e., evolved biological purposiveness.This book is written for graduate students in physics, biology, medicine, social sciences, economics, and engineering who are seeking new concepts of causal inference applied in systems theory. It is also intended for scientists with an interest in philosophy and philosophers interested in the foundations of systems theory. Additionally, data scientists seeking new methods for the analysis of time series to extract features useful for machine learning will find this book of interest.

Complexity Measurements and Causation for Dynamic Complex Systems

Springer Proceedings in Mathematics & Statistics

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike. Readers with a background in mathematics and statistics will find it particularly beneficial, while researchers from various scientific disciplines can explore numerous robust applications.

SPE2023, Guimarães, Portugal, October 11-14

New Frontiers in Statistics and Data Science

Advances in Volcanology

This book presents a summary of volcano geomorphology. It describes in detail volcanic landforms and related geomorphic processes.It provides a review of the recent outcomes of new research topics in geomorphology and physical volcanology, e.g., an improved classification and understanding of volcanic landforms, either monogenetic or polygenetic. Such knowledge enables the understanding of processes and rates of growth and destruction of volcanic landforms and landscapes. It helps to get an overview of how to study volcanic landforms and processes in providing an updated review of a wide array of classical and modern methods.

Landforms, Processes, and Hazards

Volcano Geomorphology

Lecture Notes on Data Engineering and Communications Technologies

This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from:<ul><li>Clear explanations of advanced concepts.</li><li>Practical implementation insights.</li><li>Current industry applications.</li><li>Ethical framework discussions.</li></ul>Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness.

Generative AI: Techniques, Models and Applications

Studies in Computational Intelligence

The book provides&nbsp;a groundbreaking examination of how artificial intelligence (AI) can be utilized to contribute towards a sustainable future. This book delves into the intricate relationship between technology, economy, and society, providing a comprehensive framework for understanding the circular economy as a holistic approach to sustainable development. This book aims to offer a comprehensive reference work and coverage of the role of Artificial Intelligence and other advanced digital technologies in the circular economy and resource regeneration towards achieving the United Nation’s 17 sustainable development goals. This book is mainly aimed at academics and researchers who will find in it the knowledge of the support of technology and its contribution to the circular economy, challenges, applications, and solutions to improve. Moreover, this book is aimed at management, industry experts, governments, and policymakers, whereby the book contains helpful examples from practice and applied recommendations. This book is for anyone interested in shaping a sustainable and resilient future. It provides diverse topics for raising awareness about the power of technology in promoting social well-being and economic prosperity.

Regeneration Towards Sustainability and Social Responsibility–Volume 1

Intelligence-Driven Circular Economy

Intelligent Systems Reference Library

Hyperspectral imaging has revolutionized fields ranging from environmental monitoring to medical diagnostics by providing detailed spectral information across vast datasets. However, the complexity and high dimensionality of hyperspectral data pose significant challenges in analysis and interpretation. “Computational Intelligence based Hyperspectral Image Processing" is a comprehensive guide to overcoming these challenges by leveraging the latest computational intelligence techniques. This Volume comprises of 9 chapters that illustrate how computational intelligence-based solutions has been successful to improve efficiency and productivity, quality control, and in enhancing innovation and competitiveness with cost reduction. This book is an essential resource for researchers, professionals, and students working in remote sensing, image processing, and computational intelligence. Whether you're new to the field or looking to deepen your expertise, this book provides the tools and knowledge you need to succeed in the fast-evolving world of hyperspectral imaging.

Volume 1

Computational Intelligence based Hyperspectral Image Processing

Geo-Data Revolution

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