Technological advancements have changed that way we think of traditional urban and spatial planning. The inclusion of conventional elements with modern technologies is allowing this field to advance at a rapid pace. Geospatial Technologies in Urban System Development: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the different tools and techniques ranging from mathematical sciences to spatial sciences which can be effective in unveiling the complexity of an urban system. Featuring extensive coverage on relevant areas such as urban traffic, remote sensing, and geographic information systems, this publication is an ideal resource for academics, researchers, graduate-level students, professionals, and policymakers in urban economy, regional planning, and information science disciplines.

Advancements in technology have paved the way for innovative developments in geographic information systems. This has led to the creation of new platforms for spatial analysis applications and strategies. Spatial Analysis Techniques Using MyGeoffice (R) is an information reference source for the latest academic material on emerging software developments for the exploration of spatial data and its various applications. Including a range of topics such as digital image processing, spatial autocorrelation, and system functionality, this book is ideally designed for researchers, engineers, academics, students, and practitioners seeking information on new technological progress in spatial analysis.

While megacities are a reality, so too are the environmental disturbances that they cause, including air and water pollution. These disturbances can be modeled with technology and data obtained by modern methods, such as by drone, to monitor cities in near real-time as well as help to simulate risk situations and propose future solutions. These solutions can be inspired by the theoretical principles of sustainable urbanism. Methods and Applications of Geospatial Technology in Sustainable Urbanism is a collection of innovative research that combines theory and practice on analyzing urban environments and applying sustainability principles to them. Highlighting a wide range of topics including geographic information systems, internet mapping technologies, and green urbanism, this book is ideally designed for urban planners, public administration officials, landscape analysts, geographers, engineers, entrepreneurs, academicians, researchers, and students.

Provide the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, micro climates, watershed management and planning Covers remote sensing applications in broad areas of agriculture, hydrology, land use, resource analysis and urban problems Discusses usage of GPS enabled smart phones and digital gadgets used for mapping and spatial analysis Explores applications of remote sensing in disaster management and planning

This book is the definitive guide to the techniques and applications of position location, covering both terrestrial and satellite systems. It gives all the techniques, theoretical models, and algorithms that engineers need to improve their current location schemes and to develop future location algorithms and systems.

Comprehensive coverage is given to system design trade-offs, complexity issues, and the design of efficient positioning algorithms to enable the creation of high-performance location positioning systems. Traditional methods are also reexamined in the context of the challenges posed by reconfigurable and multihop networks. Applications discussed include wireless networks (WiFi, ZigBee, UMTS, and DVB networks), cognitive radio, sensor networks and multihop networks.

Features

Contains a complete guide to models, techniques, and applications of position location

Includes applications to wireless networks, demonstrating the relevance of location positioning to these "hot" areas in research and development

Covers system design trade-offs and the design of efficient positioning algorithms, enabling the creation of future location positioning systems

Provides a theoretical underpinning for understanding current position location algorithms, giving researchers a foundation to develop future algorithms

David Munoz is Director and Cesar Vargas is a member of the Center for Electronics and Telecommunications, Tecnologico de Monterrey, Mexico. Frantz Bouchereau is a senior communications software developer at The MathWorks Inc. in Natick, MA. Rogerio Enriquez-Caldera is at Instituto Nacional de Atrofisica, Optica y Electronica (INAOE), Puebla, Mexico.
Contains a complete guide to models, techniques and applications of position location
Includes applications to wireless networks (WiFi, ZigBee, DVB networks), cognitive radio, sensor networks and reconfigurable and multi-hop networks, demonstrating the relevance of location positioning to these hot areas in research and development
Covers system design trade-offs, and the design of efficient positioning algorithms enables the creation of future location positioning systems
Provides a theoretical underpinning for understanding current position location algorithms, giving researchers a foundation to develop future algorithms"

Narrative generation can be applied to systematic frameworks that cover theoretical and philosophical thoughts of narratives and narrative generation, analytical research of related narrative genres and narrative works, and narrative works writing and creation using narrative generation systems. The design and development of narrative generation systems refers to the themes regarding narrative work creation as arts and literature through narrative generation systems beyond narrative generation systems as a technology. Internal and External Narrative Generation Based on Post-Narratology: Emerging Research and Opportunities is an essential scholarly publication that explores the creation of narrative systems using practical frameworks and advanced narrative analysis. Highlighting a range of topics such as marketing, synthetic narrative, and application systems, this book is ideal for academicians, information technology professionals, designers, developers, researchers, and students.

In the last decade there has been a phenomenal growth in interest in crime pattern analysis. Geographic information systems are now widely used in urban police agencies throughout industrial nations. With this, scholarly interest in understanding crime patterns has grown considerably. ""Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems"" discusses leading research on the use of computer simulation of crime patterns to reveal hidden processes of urban crimes, taking an interdisciplinary approach by combining criminology, computer simulation, and geographic information systems into one comprehensive resource.

With the emergence of smart technology and automated systems in today's world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.

Monitoring drought’s slow evolution and identifying the end of a drought is still a big challenge for scientists, natural resource managers, and decision makers. This comprehensive two-volume set with contributions from over 200 experts, and featuring case studies representing numerous countries throughout the world, discusses different aspects of drought from types, indices, and forecasting to monitoring, modeling, and mitigation measures. It also addresses how climate change is impacting drought and decision-making concluding with lessons learned about science, policy, and managing uncertainty. Features: Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world. Professionals, researchers, academics, and postgraduate students with knowledge in Environmental Sciences, Ecology, Agriculture, Forestry, Hydrology, Water Resources Engineering, and Earth Sciences, as well as those interested in how climate change impacts drought management, will gain new insights from the experts featured in this two-volume handbook.

This book describes recent advances in radiative transfer, atmospheric remote sensing, polarization optics of random media, and light scattering. It is a valuable resource for anyone involved in light scattering research. Providing numerous step-by-step tutorials, it allows readers to quickly learn about various aspects of theoretical and experimental light scattering media optics. The book features among others a chapter on aerosol remote sensing that helps readers to define and solve various aerosol remote sensing problems.

This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies.

From simple road maps to advanced global-position satellite (GPS) technology, geographic information is essential in today's world. As a result of computers, the Internet, and satellite technology, geographic information is expanding in both quantity and type. Businesses, scientists, travelers, and countless others rely heavily on accurate, up-to-date geographic information. This book is a unique, timesaving, and easy-to-use reference, steering users through the massive amount of geographic information available from a wide range of sources and providing tips on how to use them effectively and efficiently in real-world research. Topics include map basics, finding place names, general geography works, general and thematic atlases, special format maps, aerial photography, remotely sensed images, and more. This book provides an accessible overview of the important, emerging field of Geographic Information Systems (GIS), computer systems capable of assembling, storing, manipulating, and displaying geographically referenced information. Also included is information on geographical standards, organizations, instructional resources, commercial publications, and careers in geography. Whether researching a specific location or a general topic, collecting antiquarian maps, or having an interest in learning how to use geographic tools from topographical maps to nautical charts, this book is a must-have reference.

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection.

This is a comprehensive handbook focused on geospatial applications used to study, assess, and monitor the Himalayan mountains. As a region of high relevance and very vulnerable regarding geohazards, it is crucial to detect landscape changes and understand the drivers behind the changes. With advanced remote sensing and GIS tools, in-depth analyses, and interdisciplinary approaches, the Handbook of Himalayan Ecosystems and Sustainability, Two Volume Set studies forest and agriculture ecosystems, urban sprawl and air pollution, geo and other hazards, and provides a breadth of data to support decision making and to aids in the preservation of the landscapes in a sustainable way. Features: Uses geospatial technology for studying fragile Himalayan ecosystems and their sustainability Includes 21 case studies from Indian Himalayan, Nepal, and Afghanistan regions Provides satellite data and geospatial modelling tools for assessing and monitoring all Himalayan landscapes Addresses cryospheric studies and related ongoing geohazards and potential climate change impacts Discusses ecology of the Himalayan rivers, biodiversity, and floristic shifting of endemic species, and landscape restoration