Download or read book Integrating Spatial Data Sets Using Road Networks from Heterogeneous and Autonomous Data Sets written by Abida Iqbal and published by . This book was released on 2007 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Handbook of Geographic Information Science written by John P. Wilson and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook is an essential reference and a guide to the rapidly expanding field of Geographic Information Science. Designed for students and researchers who want an in-depth treatment of the subject, including background information Comprises around 40 substantial essays, each written by a recognized expert in a particular area Covers the full spectrum of research in GIS Surveys the increasing number of applications of GIS Predicts how GIS is likely to evolve in the near future
Download or read book Spatial Data Mining written by Deren Li and published by Springer. This book was released on 2016-03-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: · This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.
Download or read book Utilizing Big Trajectory Data for Urban Visual Analytics and Accessibility Studies written by Farah Shleemon Kamw and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive urban trajectories of humans and vehicles, together with road network and Points of Interest (POIs), have been used in a wide range of research by transportation engineers and urban planning professionals. This has contributed to improve urban planning, transportation management, and knowledge of human dynamics. Interactive visual analytics tools allow a variety of users to conduct iterative visual studies over the big data with intuitive visual representations and convenient interactions. Typically, the visual analytics tasks should be conducted in three main phases: (1) Preprocessing and preparing raw trajectory data with cleaning, enrichment, aggregation, and transformations. (2) Developing efficient data structures and query operations to support interactive visual querying and analysis over big data. (3) Designing visual interface with effective and convenient human-computer interactions. Firstly, this dissertation develops data preprocessing tools of various trajectories, road networks, and POIs, which can be directly used by general users through a web-based system. Users can directly upload raw trajectory data, while the system automatically fetches corresponding road segments data from OpenStreetMap (OSM), extracts zip code regions, or creates grid rectangular regions to couple the raw GPS data with geographical context. The system also automatically matches the trajectories with these road segments or regions. Secondly, effective data models are designed to store and manage heterogeneous urban data in a spatial database called the Trajectory DataBase (TrajBase). The key contribution is to develop trajectories and road segments (or regions) based geo-indexing scheme for trajectory-based urban study. This scheme can support fast spatial-temporal queries and visualization, while the traditional geo-indexing scheme is mostly designed for point-based geo-data. Thirdly, based on the proposed data models and tools, visual analytics queries and functions are supported in open-source visual systems which benefit domain users and practitioners of a great variety. The data models and the preprocessing tools are integrated into an open source software called the Trajectory Analytics (TrajAnalytics), which is developed to meet a dire need from domain researchers to analyze their trajectory datasets. During the research, new techniques were also developed to enhance the precision of road segments of the extracted road network. Moreover, a new graph-based model called the Urban Structure Accessibility Graph (USAGraph) is further developed as a dual road network graph to construct an efficient data structure that can manage trajectories over graph database created from the enhanced road network. The graphs store and manage traffic information, taxi trip information and POI information of different time periods. They facilitate rapid graph-based computation of urban accessibility. Based on the proposed graph model, a new computational model and visualization system is developed that assists domain users to interactively study jointly-constrained accessible regions, street segments, and POIs. In particular, this system is built upon a new Min-Max Joint Set (MinMaxJS) model, where specifically-designed set operations not only represent theaccessible regions but also compute the minimum and maximum access times to urban geographical structures (roads and POIs) inside the regions from joint constraints. In addition, a group of new visualization algorithms are introduced, such as the region drawing method based on a concave hull and a coloring scheme to enhance accessibility visualization. Finally, a new interactive visualization system is proposed for discovering Latent Accessibility Clusters (LACs) of POIs and revealing hidden urban regions with different accessibility patterns. The system is based on a newly proposed graph-based clustering method to form the LACs and a Voronoi-based drawing method to visualize the LACs as spatial regions on the map. The system is useful to analyze urban structures (e.g., POIs, regions) based on their disparities in the access to essential facilities and services (e.g., hospitals, shops, public transits) during different time intervals and under different traffic conditions.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1994 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Creating Autonomous Vehicle Systems written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2017-10-25 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
Download or read book Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment written by Zhijun Chen and published by Elsevier. This book was released on 2024-04-04 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of constructing advanced Autonomous Driving Maps. It includes coverage of such methods as: fusion target perception (based on vehicle vision and millimeter wave radar), cross-field of view object perception, vehicle motion recognition (based on vehicle road fusion information), vehicle trajectory prediction (based on improved hybrid neural network) and the driving map construction method driven by road perception fusion. An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.
Download or read book Spatial Databases written by Philippe Rigaux and published by Morgan Kaufmann. This book was released on 2002 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors explore and explain current techniques for handling the specialised data that describes geographical phenomena in a study that will be of great value to computer scientists and geographers working with spatial databases.
Download or read book 2005 Joint Assembly written by American Geophysical Union. Joint Assembly and published by . This book was released on 2005 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Geospatial Information and Communication Technology GeoICT written by Rifaat Abdalla and published by Springer. This book was released on 2016-07-25 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to help students and researchers understand the latest research and development trends in the domain of geospatial information and communication (GeoICT) technologies. Accordingly, it covers the fundamentals of geospatial information systems, spatial positioning technologies, and networking and mobile communications, with a focus on OGC and OGC standards, Internet GIS, and location-based services. Particular emphasis is placed on introducing GeoICT as an integrated technology that effectively bridges various information-technology domains.
Download or read book Communication Efficient Federated Learning for Wireless Networks written by Mingzhe Chen and published by Springer Nature. This book was released on with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Download or read book Spatial Networks written by Marc Barthelemy and published by Springer Nature. This book was released on 2022-02-20 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete introduction into spatial networks. It offers the mathematical tools needed to characterize these structures and how they evolve in time and presents the most important models of spatial networks. The book puts a special emphasis on analyzing complex systems which are organized under the form of networks where nodes and edges are embedded in space. In these networks, space is relevant, and topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields, ranging from urbanism to epidemiology. This subject is therefore at the crossroad of many fields and is of potential interest to a broad audience comprising physicists, mathematicians, engineers, geographers or urbanists. In this book, the author has expanded his previous book ("Morphogenesis of Spatial Networks") to serve as a textbook and reference on this topic for a wide range of students and professional researchers.
Download or read book Manual of Digital Earth written by Huadong Guo and published by Springer Nature. This book was released on 2019-11-18 with total page 846 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is becoming vital for acquiring, processing, analysing and mining the rapidly growing volume of global data sets about the Earth. The main aspects of Digital Earth covered here include: Digital Earth platforms, remote sensing and navigation satellites, processing and visualizing geospatial information, geospatial information infrastructures, big data and cloud computing, transformation and zooming, artificial intelligence, Internet of Things, and social media. Moreover, the book covers in detail the multi-layered/multi-faceted roles of Digital Earth in response to sustainable development goals, climate changes, and mitigating disasters, the applications of Digital Earth (such as digital city and digital heritage), the citizen science in support of Digital Earth, the economic value of Digital Earth, and so on. This book also reviews the regional and national development of Digital Earth around the world, and discusses the role and effect of education and ethics. Lastly, it concludes with a summary of the challenges and forecasts the future trends of Digital Earth. By sharing case studies and a broad range of general and scientific insights into the science and technology of Digital Earth, this book offers an essential introduction for an ever-growing international audience.
Download or read book Fundamentals of Spatial Data Quality written by Rodolphe Devillers and published by John Wiley & Sons. This book was released on 2010-01-05 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild.
Download or read book Mapping and Forecasting Land Use written by Paulo Pereira and published by Elsevier. This book was released on 2022-08-18 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mapping and Forecasting Land Use: The Present and Future of Planning is a comprehensive reference on the use of technologies to map land use, focusing on GIS and remote sensing applications and methodologies for land use monitoring. This book addresses transversal topics such as urbanisation, biodiversity loss, climate change, ecosystem services and participatory planning, with the pros and cons of various aerial technologies in mapping and land use. It follows a multidisciplinary approach and provides opinions and evidence from leading researchers working in academic institutions across the globe. The book's second half moves from theory and research advancement into case studies, compiling global examples to provide real-world context and evidence of the techniques and applications. Mapping and Forecasting Land Use is a valuable guide for graduates, academics and researchers in the fields of geography, geographic information science and land use science who want to effectively apply GIS and remote sensing capabilities to mapping or wider land studies. Researchers in geosciences, environmental science and agriculture will also find this of value in utilising 21st-century technologies in their field. - Provides a guide to land use mapping technologies, including GIS and remote sensing - Covers a wide field of interdisciplinary subjects related to GIS applications in land use - Features global case studies alongside exploring theory and current research in the field
Download or read book A Review of Point Cloud Registration Algorithms for Mobile Robotics written by Francois Pomerleau and published by . This book was released on 2015-05-27 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deals with the topic of geometric registration in robotics. It provides a historical perspective of the registration problem and shows that the various solutions available can be organized and differentiated in a framework according to a few elements. It also reviews a few applications of this framework in mobile robotics.
