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Author: Hanan Samet
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 536
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Book Description
Author: Hanan Samet
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 536
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Book Description
Author: Philippe Rigaux
Publisher: Morgan Kaufmann
ISBN: 9781558605886
Category : Computers
Languages : en
Pages : 444
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Book Description
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.
Author: Hanan Samet
Publisher: Morgan Kaufmann
ISBN: 0123694469
Category : Computers
Languages : en
Pages : 1023
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Book Description
Publisher Description
Author: Deren Li
Publisher: Springer
ISBN: 3662485389
Category : Computers
Languages : en
Pages : 329
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Book Description
· 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’.
Author: Jeffrey Scott Vitter
Publisher: Now Publishers Inc
ISBN: 1601981066
Category : Computers
Languages : en
Pages : 192
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Book Description
Describes several useful paradigms for the design and implementation of efficient external memory (EM) algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.
Author: Suman Saha
Publisher: CRC Press
ISBN: 0429949855
Category : Computers
Languages : en
Pages : 261
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Book Description
Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and Engineering, and other allied engineering disciplines, offer during the first year or first semester of the curriculum. The objective of this course is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving in their respective disciplines. Although the course is running in almost all the technical universities for decades, major changes in the syllabus have been observed due to the recent paradigm shift of computation which is more focused on huge data and internet-based technologies. Majority of the institute has been redefined their course content of advanced data structure to fit the current need and course material heavily relies on research papers because of nonavailability of the redefined text book advanced data structure. To the best of our knowledge well-known textbook on advanced data structure provides only partial coverage of the syllabus. The book offers comprehensive coverage of the most essential topics, including: Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files. Part II details data structures of different evolving data domains like special data structures, temporal data structures, external memory data structures, distributed and streaming data structures. Part III elucidates the applications of these data structures on different areas of computer science viz, network, www, DBMS, cryptography, graphics to name a few. The concepts and techniques behind each data structure and their applications have been explained. Every chapter includes a variety of Illustrative Problems pertaining to the data structure(s) detailed, a summary of the technical content of the chapter and a list of Review Questions, to reinforce the comprehension of the concepts. The book could be used both as an introductory or an advanced-level textbook for the advanced undergraduate, graduate and research programmes which offer advanced data structures as a core or an elective course. While the book is primarily meant to serve as a course material for use in the classroom, it could be used as a starting point for the beginner researcher of a specific domain.
Author: Dinesh P. Mehta
Publisher: CRC Press
ISBN: 1420035177
Category : Computers
Languages : en
Pages : 1387
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Book Description
Although there are many advanced and specialized texts and handbooks on algorithms, until now there was no book that focused exclusively on the wide variety of data structures that have been reported in the literature. The Handbook of Data Structures and Applications responds to the needs of students, professionals, and researchers who need a mainstream reference on data structures by providing a comprehensive survey of data structures of various types. Divided into seven parts, the text begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. The Handbook is invaluable in suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
Author: Joseph K. Berry
Publisher: John Wiley & Sons
ISBN: 9780470236338
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
Spatial Reasoning for Effective GIS by Joseph K. Berry This incisive and witty book describes the development of geographic technology from maps that simply tell us "Where is what?" to systems that help us decide "So what?" It encourages new understandings of mapped data, data analysis procedures, and the uses of maps, fostering an appreciation of GIS as an effective analytical tool in many complex processes. The cover image was generated by Innovative GIS Solutions, Inc., Fort Collins, Colo., using its RAPiD Surfing software to enhance the terrain analysis capabilities available with the ARC/INFO GIS.?* The image was created using Digital Elevation Model data for the Elsinore Valley Municipal Water District of the Santa Ana mountains in southern California. The image represents a 3-D perspective looking north toward Lake Elsinore with partial renderings of analytical hillshading and shaded relief draped on a wire frame elevation model. ?*RAPiD Surfing is a trademark of Innovative GIS Solutions, Inc., Fort Collins, Colo. ARC/INFO is a registered trademark of Environmental Systems Research Institute Inc., Redlands, Calif.
Author: Stephen C. Hirtle
Publisher: Springer Science & Business Media
ISBN: 9783540636236
Category : Computers
Languages : en
Pages : 530
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Book Description
This book constitutes the refereed proceedings of the 1997 International Conference on Spatial Information Theory, COSIT'97, held in Laurel Highlands, Pennsylvania, USA, in October 1997. The 31 revised full papers presented were carefully selected from a total of 66 submissions. Also included are seven posters. The volume is divided into sections on representations of change, structuring of space, boundaries and gradations, topological models of space, formal models of space, cognitive aspects of spatial acquisition, novel use of spatial information, wayfinding and map interpretation, representations of spatial concepts, new approaches to spatial information.
Author: Roger S. Bivand
Publisher: Springer Science & Business Media
ISBN: 1461476186
Category : Medical
Languages : en
Pages : 414
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Book Description
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
