Generalisation of Geographic Information

Generalisation of Geographic Information

Author: William A. Mackaness

Publisher: Elsevier

Published: 2011-07-28

Total Pages: 387

ISBN-13: 0080524745

DOWNLOAD EBOOK

Theoretical and Applied Solutions in Multi Scale Mapping Users have come to expect instant access to up-to-date geographical information, with global coverage--presented at widely varying levels of detail, as digital and paper products; customisable data that can readily combined with other geographic information. These requirements present an immense challenge to those supporting the delivery of such services (National Mapping Agencies (NMA), Government Departments, and private business. Generalisation of Geographic Information: Cartographic Modelling and Applications provides detailed review of state of the art technologies associated with these challenges, including the most recent developments in cartometric analysis techniques able to support high levels of automation among multi scale derivation techniques. The book illustrates the application of these ideas within existing and emerging technologies. In addition to providing a comprehensive theoretical underpinning, the book demonstrates how theoretical developments have translated into commercial systems deployed within NMAs. The book explores relevance of open systems in support of collaborative research and open source web based map services. State of the art review on multi scale representation techniques Detailed consideration of database requirements and object modeling in support of emerging applications (3D, mobile) and innovative delivery (map generalisation services) Illustration through existing map production environment implementations Consolidated bibliography (680 entries), 200 illustrations, author and subject index


Causes And Consequences Of Map Generalization

Causes And Consequences Of Map Generalization

Author: Elsa Joao

Publisher: CRC Press

Published: 1998-05-27

Total Pages: 292

ISBN-13: 9780748407767

DOWNLOAD EBOOK

This text describes late-1990s understanding of map generalisation in the context of paper maps and GIS. Its particular value should be in helping to further automate and measure the process of map generalisation.; The research has concentrated on quantifying generalisation effects and on analysing how these effects of generalisation locked into the maps were measured. Elsa Joao's book covers the background to the problems of map generlasation; the methodology developed by the author to investigate the consequences of the map generalisation; a detailed description of results, and a conclusion that draws together consequences for the broader applications to GIS.


The History of Cartography, Volume 6

The History of Cartography, Volume 6

Author: Mark Monmonier

Publisher: University of Chicago Press

Published: 2015-05-18

Total Pages: 1941

ISBN-13: 022615212X

DOWNLOAD EBOOK

For more than thirty years, the History of Cartography Project has charted the course for scholarship on cartography, bringing together research from a variety of disciplines on the creation, dissemination, and use of maps. Volume 6, Cartography in the Twentieth Century, continues this tradition with a groundbreaking survey of the century just ended and a new full-color, encyclopedic format. The twentieth century is a pivotal period in map history. The transition from paper to digital formats led to previously unimaginable dynamic and interactive maps. Geographic information systems radically altered cartographic institutions and reduced the skill required to create maps. Satellite positioning and mobile communications revolutionized wayfinding. Mapping evolved as an important tool for coping with complexity, organizing knowledge, and influencing public opinion in all parts of the globe and at all levels of society. Volume 6 covers these changes comprehensively, while thoroughly demonstrating the far-reaching effects of maps on science, technology, and society—and vice versa. The lavishly produced volume includes more than five hundred articles accompanied by more than a thousand images. Hundreds of expert contributors provide both original research, often based on their own participation in the developments they describe, and interpretations of larger trends in cartography. Designed for use by both scholars and the general public, this definitive volume is a reference work of first resort for all who study and love maps.


Uncertainty Modelling and Quality Control for Spatial Data

Uncertainty Modelling and Quality Control for Spatial Data

Author: Shi Wenzhong

Publisher: CRC Press

Published: 2015-11-04

Total Pages: 312

ISBN-13: 1498733344

DOWNLOAD EBOOK

Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and


Advances in Cartography and Geographic Information Engineering

Advances in Cartography and Geographic Information Engineering

Author: Jiayao Wang

Publisher: Springer Nature

Published: 2021-07-30

Total Pages: 646

ISBN-13: 9811606145

DOWNLOAD EBOOK

This book reviews and summarizes the development and achievement in cartography and geographic information engineering in China over the past 60 years after the founding of the People's Republic of China. It comprehensively reflects cartography, as a traditional discipline, has almost the same long history with the world's first culture and has experienced extraordinary and great changes. The book consists of nineteen thematic chapters. Each chapter is in accordance with the unified directory structure, introduction, development process, major study achievements, problem and prospect, representative works, as well as a lot of references. It is useful as a reference both for scientists and technicians who are engaged in teaching, researching and engineering of cartography and geographic information engineering.


Intelligent Computing Technology and Automation

Intelligent Computing Technology and Automation

Author: Z. Hou

Publisher: IOS Press

Published: 2024-02-08

Total Pages: 1248

ISBN-13: 1643684876

DOWNLOAD EBOOK

Artificial Intelligence (AI) is a rapidly developing field of computer science which integrates multiple disciplines such as computer science, psychology, and philosophy. It is a technology that develops theories, methods, technologies, and application systems to simulate, extend, and expand human intelligence by attempting to understand its essence, producing a new, intelligent machine that can respond in a way similar to human intelligence. Artificial intelligence now plays an increasingly important role in the development of global industries and economies, and as such is currently changing our world significantly, making AI research a hot topic worldwide. This book presents the proceedings of ICICTA 2023, the 16th International Conference on Intelligent Computing Technology and Automation, held on 24-25 October 2023 in Xi’an, China. The conference is an annual forum dedicated to emerging and challenging topics in AI and its applications, and its aim is to bring together an international community of researchers and practitioners in the field of AI to share the latest research achievements, discuss recent advances influence future direction, and promote the diffusion of the discipline throughout the scientific community at large. A total of 322 submissions were received for ICICTA 2023, and each paper received at least 2 review reports in a rigorous peer-review procedure. Based on these reports, 141 papers were ultimately accepted and are included in this book. The book offers a current overview of developments in AI technology, and will be of interest to all those working in the field.


Handbook of Computational Geometry

Handbook of Computational Geometry

Author: J.R. Sack

Publisher: Elsevier

Published: 1999-12-13

Total Pages: 1087

ISBN-13: 0080529682

DOWNLOAD EBOOK

Computational Geometry is an area that provides solutions to geometric problems which arise in applications including Geographic Information Systems, Robotics and Computer Graphics. This Handbook provides an overview of key concepts and results in Computational Geometry. It may serve as a reference and study guide to the field. Not only the most advanced methods or solutions are described, but also many alternate ways of looking at problems and how to solve them.


GIS And Generalisation

GIS And Generalisation

Author: J-P Lagrange

Publisher: CRC Press

Published: 2020-11-25

Total Pages: 276

ISBN-13: 1000124010

DOWNLOAD EBOOK

This text is the inaugural book in Taylor and Francis's GISDATA series, and is derived from the specialist workshop convened under the auspices of the European Science Foundation's GISDATA Scientific Programme. Generalisation is an integrating tool for the analysis and presentation of spatial data. Effective spatial data analysis requires multiple views of the world at various scales with different thematic layers of representation. Generalisation is a key mechanism in this process, as it filters out information which is required for particular scales or layers; hence it is critical to implement full and comprehensive generalisation capabilities in a GIS, something with which few current GIS are equipped.; This book overviews the core and as-yet unresolved issues surrounding the achievement of this goal, and presents various alternatives - both speculative views and practical examples - in the areas of automated generalisation, vis-a-vis problems such as object simplification and placement. At the same time it distinguishes between modelling with generalisation and graphical representation, and adopts a model-building perspective. It also describes artificial intelligence techniques for implementing automated generalised routines, and addresses issues of data quality and production.; The text is organized into six parts: an introduction; generic issue; object-orientated methods and knowledge-based modelling; knowledge acquisition and representation; data quality; and operation and implementation.