Spatial Similarity Relations In Multi Scale Map Spaces
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| Author | : Haowen Yan |
| Publisher | : Springer |
| Total Pages | : 204 |
| Release | : 2014-10-10 |
| Genre | : Science |
| ISBN | : 3319097431 |
How does one determine how similar two maps are? This book aims at the theory of spatial similarity relations and its application in automated map generalization, including the definitions, classification and features of spatial similarity relations. Included also are calculation models of spatial similarity relations between arbitrary individual objects and between arbitrary object groups, and the application of the theory in the automation of the algorithms and procedures in map generalization.
| Author | : Michael P. Peterson |
| Publisher | : Springer |
| Total Pages | : 534 |
| Release | : 2017-05-30 |
| Genre | : Science |
| ISBN | : 3319573365 |
This book presents a selection of manuscripts submitted to the 2017 International Cartographic Conference held in Washington, DC at the beginning of July and made available at the conference. These manuscripts have been selected by the Scientific Program Committee and represent the wide-range of research that is done in the discipline. It also forms an important international collection representing research from at least 30-40 countries.
| Author | : Haowen Yan |
| Publisher | : Springer |
| Total Pages | : 236 |
| Release | : 2019-01-04 |
| Genre | : Science |
| ISBN | : 9811336784 |
This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features. The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.
| Author | : Cristian Suteanu |
| Publisher | : Springer Nature |
| Total Pages | : 329 |
| Release | : 2023-01-01 |
| Genre | : Science |
| ISBN | : 3031157338 |
This book provides up-to-date, in-depth and accessible information on the concept of scale, and focuses on its applications in geography, Earth science, environmental science, and other fields in which the environment plays a significant role. Although the book presents methods and applications as a response to practical challenges, it is primarily concept-centered: it identifies a set of distinct, yet related notions of “scale”, analyzing and elucidating their evolving meanings in a systematic way. Concepts are defined with a focus on their practical operational applicability, and the introduction of methods is supported by concrete examples. The book links theoretical insights to illustrating applications, involving a broad range of themes, from maps, fractals, and chaos theory to fine art and literature. It approaches the subject in a spatial, temporal, and spatio-temporal context, including a wide diversity of spatial features from Earth and other planets, as well as time series and space-time patterns. This monograph is expected to be useful especially because in practice the various scale-focused concepts are not neatly separated and immiscible. It is therefore helpful for scholars in physical and human geography, Earth and environmental sciences, and other fields, to benefit from a clear conceptual framework that distinguishes and illuminates the various scale-related concepts and their interconnections. Selected chapters can also support a deeper understanding of the concept of scale for graduate and undergraduate students in geography, the natural sciences, and the humanities. Information on recommended additional literature and comments about specific sources offer a guide to further reading on the topics addressed in the book.
| Author | : Chun-Qing Li |
| Publisher | : CRC Press |
| Total Pages | : 238 |
| Release | : 2021-09-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1000437035 |
This book presents the state-of-the-art-knowledge on corrosion of steel, cast iron and ductile iron with a focus on corrosion-induced degradation of their mechanical properties. The information presented in the book is largely derived from the most current research on the effect of corrosion on degradation of mechanical properties. The book covers the basics of steel corrosion, including that of cast iron and ductile iron, that are not well covered in most literature. Models for corrosion-induced degradation of mechanical properties are presented in the book with a view to wider applications. The knowledge presented in the book can be used to prevent corrosion-induced failures of corrosion-affected structures, offering enormous benefits to the industry, business, society and community. Key strengths of the book are that it can be employed by a variety of users for different purposes in designing and assessing corrosion-affected structures, and that the knowledge and techniques presented in the book can be easily applied by users in dealing with corrosion-affected structures, and the uniqueness in examining the corrosion effect on degradation of various mechanical properties. Wtih examples of practical applications, the book is particularly useful for all stakeholders involved in steel manufacturing and construction, including engineering students, academicians, researchers, practitioners and asset managers.
| Author | : Salah Bourennane |
| Publisher | : Springer Nature |
| Total Pages | : 206 |
| Release | : 2022-06-09 |
| Genre | : Computers |
| ISBN | : 3031080173 |
This book contains the proceedings of the 5th International Conference on Geoinformatics and Data Analysis (ICGDA 2022), held in January 21–23, Paris, France. Geoinformatics helps to support basic scientific inquiry as well as address the complex social and environmental challenges. It becomes very important technology to decision-makers across a wide range of disciplines such as computer science, information technology, software engineering, biogeography, geography, conservation, architecture, spatial analysis and reinforcement learning. The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in the area of geoinformatics and data analysis, including software and information engineering, environmental geography and geographic information system, which makes the book a valuable reference for researchers, engineers and university students who are working in the field.
| Author | : Stanisław Kozielski |
| Publisher | : Springer |
| Total Pages | : 744 |
| Release | : 2016-04-28 |
| Genre | : Computers |
| ISBN | : 3319340999 |
This book constitutes the refereed proceedings of the 12th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2016, held in Ustroń, Poland, in May/June 2016. It consists of 57 carefully reviewed papers selected from 152 submissions. The papers are organized in topical sections, namely artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; data warehousing and OLAP; natural language processing, ontologies and semantic Web; bioinformatics and biomedical data analysis; data processing tools; novel applications of database systems.
| Author | : C.-H. Chen |
| Publisher | : IOS Press |
| Total Pages | : 1154 |
| Release | : 2022-02-25 |
| Genre | : Computers |
| ISBN | : 1643682555 |
The pervasiveness of computers in every field of science, industry and everyday life has meant that applied mathematics, particularly in relation to modeling and simulation, has become ever more important in recent years. This book presents the proceedings of the 2021 International Conference on Applied Mathematics, Modeling and Computer Simulation (AMMCS 2021), hosted in Wuhan, China, and held as a virtual event from 13 to 14 November 2021. The aim of the conference is to foster the knowledge and understanding of recent advances across the broad fields of applied mathematics, modeling and computer simulation, and it provides an annual platform for scholars and researchers to communicate important recent developments in their areas of specialization to colleagues and other scientists in related disciplines. This year more than 150 participants were able to exchange knowledge and discuss recent developments via the conference. The book contains 115 peer-reviewed papers, selected from more than 250 submissions and ranging from the theoretical and conceptual to the strongly pragmatic and all addressing industrial best practice. Topics covered include mathematical modeling and applications, engineering applications and scientific computations, and the simulation of intelligent systems. Providing an overview of recent development and with a mix of practical experiences and enlightening ideas, the book will be of interest to researchers and practitioners everywhere.
| Author | : Zhilin Li |
| Publisher | : CRC Press |
| Total Pages | : 310 |
| Release | : 2006-10-04 |
| Genre | : Technology & Engineering |
| ISBN | : 1420008439 |
With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. However, no book to date has systematically tackled the different aspects of this discipline. Emphasizing map generalization, Algorithmic Foundation of Multi-Scale Spatial Representation addresses the mathematical basis of
| Author | : Bart M. Haar Romeny |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 470 |
| Release | : 2008-10-24 |
| Genre | : Computers |
| ISBN | : 140208840X |
Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of the well known computer vision implementation of the optic flow constraint equation, as originally proposed by Horn and Schunck [Horn1981]. This scale space variation, as usual, consists of the introduction of the aperture of the observation in the process. The application to stereo has been described by Maas et al. [Maas 1995a, Maas 1996a]. Of course, difficulties arise when structure emerges or disappears, such as with occlusion, cloud formation etc. Then knowledge is needed about the processes and objects involved. In this chapter we focus on the scale space approach to the local measurement of optic flow, as we may expect the visual front end to do. 17. 2 Motion detection with pairs of receptive fields As a biologically motivated start, we begin with discussing some neurophysiological findings in the visual system with respect to motion detection.
