Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth's surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom

Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences. The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability. This Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge.

Mastering ArcGIS Pro introduces the basic ideas behind GIS, teaching the concepts and skills needed to enter this rapidly evolving industry or use GIS in your current discipline. Based on the widely used ArcGIS software developed by Esri, Inc., this text integrates learning fundamental concepts with practicing software skills and is suitable for classroom use or for professionals studying independently.

Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject. Groundwater is the primary source of fresh water in many parts of the world, while come regions are becoming overly dependent on it, consuming groundwater faster than it is naturally replenished and causing water tables to decline unremittingly. India is the largest user of groundwater in the world followed by China and the USA, with developing countries using groundwater at an unsustainable rate. Systematic planning of groundwater usage using modern techniques is essential for the proper utilization, management and modeling of this precious but shrinking natural resource. With the advent of powerful and highspeed personal computers, efficient techniques for water management have evolved, of which remote sensing, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Geostatistical techniques are of great significance. This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. Case Studies in Geospatial Applications to Groundwater Resources is a valuable reference for researchers and postgraduate students in Earth and Environmental Sciences, especially GIS, agriculture, hydrology, natural resources, and soil science, who need to be able to apply the latest technologies in groundwater research in a practical manner.

Land Reclamation and Restoration Strategies for Sustainable Development: Geospatial Technology Based Approach, Volume Ten covers spatial mapping, modeling and risk assessment in land hazards issues and sustainable management. Each section in the book explores state-of-art techniques using commercial, open source and statistical software for mapping and modeling, along with case studies that illustrate modern image processing techniques and computational algorithms. A special focus is given on recent trends in data mining techniques. This book will be of particular interest to students, researchers and professionals in the fields of earth science, applied geography, and those in the environmental sciences.

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy, platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks, Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Canty's fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.

Mapping the Epidemic: A Systemic Geography of COVID-19 in Italy provides a theoretical-methodological framework based on space-time analysis to map and interpret the set of factors that could have contributed to the spread of COVID-19, as well as a reflexive cartographic mapping visualizing the virus's dynamics. After an introduction that constitutes the theoretical anchor of the work carried out both with respect to territorial analysis and the use of reflexive cartography, the book discusses the role played by reflexive cartography in research on the COVID-19 pandemic conducted by an Italian university working group dealing with reticularity and the territorial fragilities that have influenced the spread. The data, subjected to analysis, are translated into reflexive cartography as a tool for restitution and investigation of the territorial dynamics. Each chapter consists of detailed information in which the European context of data analysis is illustrated, to then investigate the Italian territory and focus on the case of Lombardy and, in particular, of Bergamo as the epicenter. The book addresses the theoretical and methodological approaches of mapping the epidemic in Italy and the importance of cartography in the outbreak response, as well as including data accounting for contributing factors such as atmospheric pollution and infection rate, population distribution and major mobility corridors, and measures adopted to contain the outbreak, by implementing mapping at the regional Lombard, national, and European levels. Mapping the Epidemic: A Systemic Geography of COVID-19 in Italy uses an interdisciplinary approach that highlights the key role of geography and cartography in providing usable data and conclusions on the virus outbreak and will be valuable for researchers and professionals in the fields of geography, GIS, and spatial mapping, as well as statisticians working on mapping outbreaks and epidemiological scientists needing mapping data on the virus.

Earth Observation for Flood Applications: Progress and Perspectives describes the latest scientific advances in Earth Observation. With recent floods around the world becoming ever more devastating, there is a need for better science enabling more effective solutions at a fast pace. This book aims at stretching from the current flood mapping to diverse real data so as to estimate the flood risk and damage. Earth Observation for Flood Applications: Progress and Perspectives includes three parts containing each a separate but complementary topic area under floods. Each chapter unfolds various applications, case studies, and illustrative graphics. In terms of flood mapping and monitoring, the usage of multi-sensor satellite data, web-services information, microwave remote sensing methods are discussed in depth. So, this book is a valuable resource for scientists, researchers, and students in the area of earth observation.

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter. This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre.

Further Developments in the Theory and Practice of Cybercartography, Third Edition, Volume Nine, presents a substantively updated edition of a classic text on cybercartography, presenting new and returning readers alike with the latest advances in the field. The book examines the major elements of cybercartography and embraces an interactive, dynamic, multisensory format with the use of multimedia and multimodal interfaces. Material covering the major elements, key ideas and definitions of cybercartography is newly supplemented by several chapters on two emerging areas of study, including international dimensions and language mapping. This new edition delves deep into Mexico, Brazil, Denmark, Iran and Kyrgyzstan, demonstrating how insights emerge when cybercartography is applied in different cultural contexts. Meanwhile, other chapters contain case studies by a talented group of linguists who are breaking new ground by applying cybercartography to language mapping, a breakthrough that will provide new ways of understanding the distribution and movement of language and culture.

Small Format Aerial Photography and UAS Imagery: Principles, Techniques and Geoscience Applications, Second Edition, provides basic and advanced principles and techniques for Small Format Aerial Photography (SFAP), focusing on manned and unmanned aerial systems, including drones, kites, blimps, powered paragliders, and fixed wing and copter SFAP. The authors focus on everything from digital image processing and interpretation of data, to travel and setup for the best result, making this a comprehensive guide for any user. Nine case studies in a variety of environments, including gullies, high altitudes, wetlands and recreational architecture are included to enhance learning. This new edition includes small unmanned aerial systems (UAS) and discusses changes in legal practices across the globe. In addition, the book presents the history of SFAP, providing background and context for new developments.

Taking the Temperature of the Earth: Steps towards Integrated Understanding of Variability and Change presents an integrated, collaborative approach to observing and understanding various surface temperatures from a whole-Earth perspective. The book describes the progress in improving the quality of surface temperatures across different domains of the Earth's surface (air, land, sea, lakes and ice), assessing variability and long-term trends, and providing applications of surface temperature data to detect and better understand Earth system behavior. As cooperation is essential between scientific communities, whose focus on particular domains of Earth's surface and on different components of the observing system help to accelerate scientific understanding and multiply the benefits for society, this book bridges the gap between domains.

Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach reviews multivariate hazards in a non-stationary environment, covering both short and long-term predictions from earth observations, along with long-term climate dynamics and models. The book provides a detailed overview of remotely sensed observations, current and future satellite missions useful for hydrologic studies and water resources engineering, and a review of hydroclimatic hazards. Given these tools, readers can improve their abilities to monitor, model and predict these extremes with remote sensing. In addition, the book covers multivariate hazards, like landslides, in case studies that analyze the combination of natural hazards and their impact on the natural and built environment. Finally, it ties hydroclimatic hazards into the Sendai Framework, providing another set of tools for reducing disaster impacts.

Uncertainties in GPS Positioning: A Mathematical Discourse describes the calculations performed by a GPS receiver and the problems associated with ensuring that the derived location is a close match to the actual location. Inaccuracies in calculating a location can have serious repercussions, so this book is a timely source for information on this rapidly evolving technology.

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.