High Performance Computing For Geospatial Applications
DOWNLOAD
Download High Performance Computing For Geospatial Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get High Performance Computing For Geospatial Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
High Performance Computing For Geospatial Applications
DOWNLOAD
Author : Wenwu Tang
language : en
Publisher: Springer Nature
Release Date : 2020-07-20
High Performance Computing For Geospatial Applications written by Wenwu Tang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-20 with Technology & Engineering categories.
This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.
Big Data Computing For Geospatial Applications
DOWNLOAD
Author : Zhenlong Li
language : en
Publisher: MDPI
Release Date : 2020-11-23
Big Data Computing For Geospatial Applications written by Zhenlong Li and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Science categories.
The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.
Advances In Automation Mechanical And Design Engineering
DOWNLOAD
Author : Med Amine Laribi
language : en
Publisher: Springer Nature
Release Date : 2022-09-02
Advances In Automation Mechanical And Design Engineering written by Med Amine Laribi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-02 with Technology & Engineering categories.
This book presents the proceedings of the 2021 International Symposium on Automation, Mechanical and Design Engineering (SAMDE), held in Beijing, China, on 3–5 December 2021, and organized by the Hong Kong Society of Robotics and Automation (HKSRA). It gathers contributions by researchers from several countries on the following topics: digitalized development and use of sustainable products and manufacturing systems, artificial intelligence, automated reasoning, human-robot collaborative interaction, sensors and autonomous sensor systems, cyber-physical control systems, generative design including topology optimization, advanced simulation and modelling, intelligent automation, smart materials, materials processing and factories, and circular economy, etc. The book offers a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments.
Spatial Big Data Bim And Advanced Gis For Smart Transformation
DOWNLOAD
Author : Sara Shirowzhan
language : en
Publisher: MDPI
Release Date : 2020-12-02
Spatial Big Data Bim And Advanced Gis For Smart Transformation written by Sara Shirowzhan and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Technology & Engineering categories.
This book covers a range of topics including selective technologies and algorithms that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This book also presents an agenda for future investigations to address the need for advanced tools such as mobile scanners, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities. Some of selected specific tools presented in this book are as a simulator for improving the smart parking practices by modelling drivers with activity plans, a bike optimization algorithm to increase the efficiency of bike stations, an agent-based model simulation of human mobility with the use of mobile phone datasets. In addition, this book describes the use of numerical methods to match the network demand and supply of bicycles, investigate the distribution of railways using different indicators, presents a novel algorithm of direction-aware continuous moving K-nearest neighbor queries in road networks, and presents an efficient staged evacuation planning algorithm for multi-exit buildings.
Big Data Computing For Geospatial Applications
DOWNLOAD
Author : Zhenlong Li
language : en
Publisher:
Release Date : 2020
Big Data Computing For Geospatial Applications written by Zhenlong Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.
Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai
DOWNLOAD
Author : Jeffrey Nichols
language : en
Publisher: Springer Nature
Release Date : 2020-12-22
Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai written by Jeffrey Nichols and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.
This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.
Handbook Of Research On Geoinformatics
DOWNLOAD
Author : Karimi, Hassan A.
language : en
Publisher: IGI Global
Release Date : 2009-01-31
Handbook Of Research On Geoinformatics written by Karimi, Hassan A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-31 with Technology & Engineering categories.
"This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.
High Performance Geographic Information System
DOWNLOAD
Author : Wei Xiong
language : en
Publisher: Springer Nature
Release Date : 2024-10-15
High Performance Geographic Information System written by Wei Xiong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Science categories.
The development of earth observation and computing technology has promoted the wide application of spatio-temporal big data and artificial intelligence. The enrichment of data and the improvement of computational performance make it possible to perform spatio-temporal analysis and computation on a larger scale. Therefore, it is necessary to study the optimization methods and application methods of high-performance geocomputing, starting from GIS architecture, in order to form a high-performance GIS that can serve the society and economy and support various applications. This book focuses on the architecture, technology, platform, and application of high-performance GIS, analyzes the key technologies of spatio-temporal big data organization and access, parallelized spatial analysis and processing, large-scale map rendering, and parallel visualization under the high-performance computing architecture, explains how to build high-performance geographic information applications, and looks forward to the trend of the new generation of GIS.
Building Feature Extraction With Machine Learning
DOWNLOAD
Author : Bharath.H. Aithal
language : en
Publisher: CRC Press
Release Date : 2022-12-29
Building Feature Extraction With Machine Learning written by Bharath.H. Aithal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Technology & Engineering categories.
Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others. Features Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning Discusses in detail the application of machine learning techniques in geospatial building feature extraction Explains the methods for estimating object height from optical satellite remote sensing images using Python Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment Highlights the potential of machine learning and geospatial technology for future project developments This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.
Exploring Remote Sensing Methods And Applications
DOWNLOAD
Author : Rifaat M. Abdalla
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-01-22
Exploring Remote Sensing Methods And Applications written by Rifaat M. Abdalla and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Technology & Engineering categories.
Exploring Remote Sensing - Methods and Applications is a comprehensive guide that examines the transformative world of remote sensing technologies. Structured into three distinct sections, the book begins with section 1, “Advanced Techniques in Remote Sensing”, which presents methodologies for landslide detection, asbestos-cement mapping, and wetland monitoring, highlighting the integration of computational optics and Google Earth Engine. Section 2, “Geospatial Frontiers: Challenges and Innovations”, addresses the complexities and opportunities within distributed geospatial information systems and the potential of geospatial data, emphasizing the need for adaptive strategies in an evolving landscape. In the final section, “Harnessing Remote Sensing for Agricultural Insights”, the readers will discover innovative crop yield prediction techniques and vegetation indices' impact on land surface temperature, showcasing the pivotal role of remote sensing in sustainable agriculture. This book is an essential resource for researchers, practitioners, and students aiming to explore the vast applications of remote sensing in addressing contemporary challenges.