Advances in Geo-Spatial Information Science presents recent advances regarding fundamental issues of geo-spatial information science (space and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo-spatial information science (such as spatial data mining, mobile data modeling, and location-based services). The book contains selected and revised papers presented at the joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (Hong Kong, 26–28 May 2010), and brings together three related international academic communities: spatial information science, spatial data handling, and modeling geographic systems. Advances in Geo-Spatial Information Science will be of interest for academics and professionals interested in spatial information science, spatial data handling, and modeling of geographic systems.

This book elucidates how cyberGIS (that is, new-generation geographic information science and systems (GIS) based on advanced computing and cyberinfrastructure) transforms computation- and data-intensive geospatial discovery and innovation. It comprehensively addresses opportunities and challenges, roadmaps for research and development, and major progress, trends, and impacts of cyberGIS in the era of big data. The book serves as an authoritative source of information to fill the void of introducing this exciting and growing field. By providing a set of representative applications and science drivers of cyberGIS, this book demonstrates how cyberGIS has been advanced to enable cutting-edge scientific research and innovative geospatial application development. Such cyberGIS advances are contextualized as diverse but interrelated science and technology frontiers. The book also emphasizes several important social dimensions of cyberGIS such as for empowering deliberative civic engagement and enabling collaborative problem solving through structured participation. In sum, this book will be a great resource to students, academics, and geospatial professionals for leaning cutting-edge cyberGIS, geospatial data science, high-performance computing, and related applications and sciences.

This book presents a selection of manuscripts submitted to the 2nd International Conference on Geospatial Information Sciences 2021, a virtual conference held on November 3-5, 2021. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-review process. They represent the vast scope of the interdisciplinary research areas that characterize the Geospatial Information Sciences that is done in the discipline. It especially represents a fabulous opportunity to showcase research carried out by young Mexican researchers and showcase it to the rest of the world and enhance the growth of the sciences in the country while, at the same time, enforces them to level up with other research at the international level.

Comprehensive and authoritative baseline geospatial data content is crucial to the nation and to the U.S. Geological Survey (USGS). The USGS founded its Center of Excellence for Geospatial Information Science (CEGIS) in 2006 to develop and distribute national geospatial data assets in a fast-moving information technology environment. In order to fulfill this mission, the USGS asked the National Research Council to assess current GIScience capabilities at the USGS, identify current and future needs for GIScience capabilities, recommend strategies for strengthening these capabilities and for collaborating with others to maximize research productivity, and make recommendations regarding the most effective research areas for CEGIS to pursue. With an initial focus on improving the capabilities of The National Map, the report recommends three priority research areas for CEGIS: information access and dissemination, data integration, and data models, and further identifies research topics within these areas that CEGIS should pursue. To address these research topics, CEGIS needs a sustainable research management process that involves a portfolio of collaborative research that balances short and long term goals.

The impacts of climate change are beginning to be felt throughout the world, yet there is no clear explanation as to how these changes will alter our future. The research being conducted within the geospatial science field is pivotal to understanding the effects the global environment is experiencing. The Handbook of Research on Geospatial Science and Technologies is an essential scholarly reference source that evaluates the current methodologies and trends in geospatial science, and how these insights provide society with more efficient and effective ways to manage natural resources. Featuring discussions on relevant topics such as cartography, geographical information systems, remotely sensed data, and sustainability management, this publication is an informative resource for all academicians, students, scientists, and researchers that are interested in emerging developments within geospatial science.

Stress on natural resources has recently increased due to commercialization and the need to provide livelihoods for locals. Because they are such core parts of everyday life, ensuring sustainability in resource management is of paramount importance. Only by integrating the tools of spatial information science can an effective course for preserving and protecting natural resources be created. Spatial Information Science for Natural Resource Management is a pivotal reference source that explores coordinated approaches to sustainable development and management of natural resources to keep a balance of the environment, ecology, and human livelihood. Featuring coverage on a wide range of topics including crop yield estimation, ecosystem services, and land information systems, this book covers interdisciplinary techniques in monitoring and managing natural resources. This publication is ideally designed for urban planners, environmentalists, policymakers, ecologists, researchers, academicians, students, and professionals in the fields of remote sensing, civil engineering, social science, computer science, and information technology.