Автор: Wang Название: CyberGIS for Geospatial Discovery and Innovation ISBN: 9402415297 ISBN-13(EAN): 9789402415292 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Arno Scharl; Klaus Tochtermann Название: The Geospatial Web ISBN: 1849966567 ISBN-13(EAN): 9781849966566 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume emphasizes the applications and implications of the Geospatial Web and the role of contextual knowledge in shaping the emerging network society. Containing chapters from renowned researchers and practitioners, this volume will be invaluable to all interested in this field.
Автор: Moha El-Ayachi, Loubna El Mansouri Название: Geospatial Technologies for Effective Land Governance ISBN: 1522559396 ISBN-13(EAN): 9781522559399 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29938.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides vital research on the application of the use of GNSS, remote sensing, and GIS. While highlighting topics such as crop management, multispectral images, and irrigation, this publication explores land administration, encompassing both cadastral systems and land registration, as well as the methods of land governance strategies.
Автор: Shit Название: Geospatial Technology for Environmental Hazards ISBN: 3030751996 ISBN-13(EAN): 9783030751999 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Нет в наличии.
Описание: The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards. This book has 25 chapters associated with risk assessment, mapping and management strategies of environmental hazards. It covers major topics such as Landslide Susceptibility, Arsenic Contaminated Groundwater, Earthquake Risk Management, Open Cast Mining, Soil loss, Flood Susceptibility, Forest Fire Risk, Malaria prevalence, Flood inundation, Socio-Economic Vulnerability, River Bank Erosion, and Socio-Economic Vulnerability. The content of this book will be of interest to researchers, professionals, and policymakers, whose work involves environmental hazards and related solutions.
Описание: "The Open Access version of this book, available at https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003181590, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license."Geospatial information plays an important role in managing location dependent pandemic situations across different communities and domains. Geospatial information and technologies are particularly critical to strengthening urban and rural resilience, where economic, agricultural, and various social sectors all intersect. Examining the United Nations' SDGs from a geospatial lens will ensure that the challenges are addressed for all populations in different locations. This book, with worldwide contributions focused on COVID-19 pandemic, provides interdisciplinary analysis and multi-sectoral expertise on the use of geospatial information and location intelligence to support community resilience and authorities to manage pandemics.
Автор: Raffaele de Amicis; R. Stojanovic; Giuseppe Conti Название: GeoSpatial Visual Analytics ISBN: 9048128986 ISBN-13(EAN): 9789048128983 Издательство: Springer Рейтинг: Цена: 17684.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Research trends have brought to an effective combination of data mining and information visualization, often referred to as Visual Analytics (VA). This book tackles a wide range of application domains, all relevant to environmental security.
1. Developing High Fidelity, Data Driven, Verified Agent Based Models of Coupled Socio-Ecological Systems of Alaska Fisheries.- 2. Leveraging Coupled Agent-Based Models to Explore the Resilience of Tightly-Coupled Land Use Systems.- 3. Deconstructing geospatial agent-based model: Sensitivity analysis of forest insect infestation model.- 4.An Agent-Based Model to Identify Migration Pathways of Refugees: the Case of Syria.- 5. Rule extraction for Agent Mobility from Animal "Big Data" Trends and Possibilities.- 6. Wealthy Hubs and Poor Chains: Constellations and Routing in the U.S. Urban Migration System.- 7. Uncovering geographic and structural characteristics of the interpersonal communication. network on Twitter: A complex networks perspective.
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