Geoinformatics is a component of Encyclopedia of Earth and Atmospheric Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Geoinformatics is a science which develops and uses information science infrastructure to address the problems of geosciences and related branches of engineering. The content of the theme on Geoinformatics is organized with state-of-the-art presentations covering the following aspects of the subject: Sample Data and Survey; Remote Sensing and Environmental Monitoring; Statistical Analysis in the Geosciences; International Cooperation for Data Acquisition and Use, which are then expanded into multiple subtopics, each as a chapter.. These two volumes are aimed at the following five major target audiences: University and College Students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Geoinformatics is a component of Encyclopedia of Earth and Atmospheric Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Geoinformatics is a science which develops and uses information science infrastructure to address the problems of geosciences and related branches of engineering. The content of the theme on Geoinformatics is organized with state-of-the-art presentations covering the following aspects of the subject: Sample Data and Survey; Remote Sensing and Environmental Monitoring; Statistical Analysis in the Geosciences; International Cooperation for Data Acquisition and Use, which are then expanded into multiple subtopics, each as a chapter.. These two volumes are aimed at the following five major target audiences: University and College Students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

This book provides compelling new insights into how cities are attempting to address sustainability challenges via major applications of geospatial technology in an urban area. It elucidates the role of geospatial techniques such as GIS and GNSS, including remote sensing in urban management, and covers the theory and practice of urban sustainability transitions. It provides case studies and contextualised tools for the governance of urban transitions to present various applications of geospatial techniques in an urban environment. Features: Covers hands-on approaches on quantitative measures of urban analytics Focuses on sustainability issues in urban planning and development Includes pertinent global case studies for implementation of urban planning practices Reviews the inter-relationship between smart cities and sustainable development This book is aimed at graduate students, researchers, and professionals in GIS, urban sciences, and geography.

Geographic Information Systems (GIS) originated in the 1960s and have since become the primary tool and science for handling spatial data. This unique compendium introduces essential mathematical knowledge related to GIS, including mathematical logic, geometry, algebra, topology, set theory, graph theory, probability theory and statistics, as well as uncertainty theory. These topics cover GIS data modeling, geometric calculations, topological analysis, spatial inference, and are helpful in understanding how to express spatial feature models, derive logical conclusions from given facts, perform coordinate transformations, and even aspects such as remote sensing image classification and machine learning.

This book describes how geospatial technology in the form of a modern enterprise geographic information system (GIS) can be applied to all aspects of the electric utility business from Smart Grid to generation to transmission to distribution to the retail supply of electricity to customers. This book appeals to readers that are interested not only in the technical details of a GIS enabled electric system, but also how such a system works in the real business world.

Addressing the use of geoinformatics in Caribbean archaeology, this volume is based on case studies drawn from specific island territories, namely, Barbados, St. John, Puerto Rico, Jamaica, Nevis, St. Eustatius, and Trinidad and Tobago, as well as inter-island interaction and landscape conceptualization in the Caribbean region. Geoinformatics is especially critical within the Caribbean where site destruction is intense due to storm surges, hurricanes, ocean and riverine erosion, urbanization, industrialization, and agriculture, as well as commercial development along the very waterfronts that were home to many prehistoric peoples. By demonstrating that the region is fertile ground for the application of geoinformatics in archaeology, this volume places a well-needed scholarly spotlight on the Caribbean. Contributors: Douglas V. Armstrong, Ivor Conolley, Kevin Farmer, R. Grant Gilmore III, Mark W. Hauser, Eric Klingelhofer, David W. Knight, Roger H. Leech, Stephan Lenik, Parris Lyew-Ayee, Bheshem Ramlal, Basil A. Reid, Reniel Rodr guez, Joshua M. Torres

Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted. It includes several disciplines and te- niques for the study of the Earth’s surface and its environments, and computer science plays a decisive role. A more meaningful and appropriate expression is G- spatial Information or GeoInformation. Geo-spatial Information embeds topography in its more modern forms (measurements with electronic instrumentation, sophisticated techniques of data analysis and network compensation, global satellite positioning techniques, laser scanning, etc.), analytical and digital photogrammetry, satellite and airborne remote sensing, numerical cartography, geographical information systems, decision support systems, WebGIS, etc. These specialized elds are intimately interrelated in terms of both the basic science and the results pursued: rigid separation does not allow us to discover several common aspects and the fundamental importance assumed in a search for solutions in the complex survey context. The objective pursued by Mario A. Gomarasca, one that is only apparently modest, is to publish an integrated text on the surveying theme, containing simple and comprehensible concepts relevant to experts in Geo-spatial Information and/or speci cally in one of the disciplines that compose it. At the same time, the book is rigorous and synthetic, describing with precision the main instruments and methods connected to the multiple techniques available today.

Papers presented at the Symposium on Geoinformatics Applications for Sustainable Development, held at New Delhi.

The chapters in this book present state-of-the-art geomatics technologies applied in global environmental studies. This text provides the latest research findings and delivers complete references to related publications. This book will motivate the undergraduate and graduate students, researchers and practitioners to better understand the environmental changes with informed solutions. Global Change studies are increasingly considered a vital source of information to understand the Earth Environment, especially in the framework of human-induced, climate change and land use transformation. Satellite Earth Observing systems and geomatics technologies provide a unique tool to monitor and model the changes, respectively. While the range of applications and innovative techniques are always increasing, this book provides a summary of key study cases where satellite data offers critical information to understand the usefulness of the geomatics technologies and global environmental issues. Geomatics technologies provide powerful tools to model and analyze the effects of those global environmental changes towards minimizing their adverse impacts on human health and the environment.

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.