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Titlebook: UAVs for Spatial Modelling and Urban Informatics; Tony H. Grubesic,Jake R. Nelson,Ran Wei Book 2024 The Editor(s) (if applicable) and The

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書目名稱UAVs for Spatial Modelling and Urban Informatics
編輯Tony H. Grubesic,Jake R. Nelson,Ran Wei
視頻videohttp://file.papertrans.cn/941/940033/940033.mp4
概述Explores the utility of UAVs for monitoring and improving urban sustainability and the urban environment.Provides operational and methodological frameworks for carrying out advanced analyses.Discusses
圖書封面Titlebook: UAVs for Spatial Modelling and Urban Informatics;  Tony H. Grubesic,Jake R. Nelson,Ran Wei Book 2024 The Editor(s) (if applicable) and The
描述.This book aims to provide a wide range of real-world applications in using unmanned aerial vehicles (UAVs) for geographic observation, spatial modeling, and urban informatics. Specifically, UAVs are incredibly effective platforms for connecting people, places, and technology. This book explores the utility of UAVs for monitoring, measuring, and improving urban infrastructure systems, urban sustainability, and the urban environment. The dynamism of cities provides opportunities for economic, social, and environmental change, but benchmarking and measuring cities continues to be challenging. This challenge is due, at least in part, to a lack of monitoring systems that can collect and analyze data at a granular enough scale to capture the nuance of local phenomena. UAVs offer a promising mechanism to fill this niche, serving as a measurement platform that can rapidly and inexpensively collect data and monitor change in cities. However, their use is fraught with social, operational, regulatory, and technical challenges for successful deployments. ..?.This book provides a resource for urbanists (e.g., planners, geographers, sociologists, epidemiologists, engineers), educators, and stud
出版日期Book 2024
關(guān)鍵詞Unmanned aerial vehicles; Geographic observation; Spatial modelling; Urban informatics; Urban sustainabi
版次1
doihttps://doi.org/10.1007/978-3-031-54114-8
isbn_softcover978-3-031-54116-2
isbn_ebook978-3-031-54114-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Tony H. Grubesic,Jake R. Nelson,Ran Weithe state-of-the-art identification methods for cascade models can accommodate a wide range of filters and spiking neurons, the assumptions proposed can in some cases be considered restrictive. Specifically, for [Filter]-[IF] circuits, it is assumed that the IF model is known, or that the filter out
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ze of the defect.Includes representative images depicting eaThis book describes the reconstructive procedures currently used by the authors for the treatment of oral and maxillofacial defects, based on twenty-five years of experience at a major European University Hospital. The coverage encompasses
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