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Titlebook: Abstracting Geographic Information in a Data Rich World; Methodologies and Ap Dirk Burghardt,Cécile Duchêne,William Mackaness Book 2014 Spr

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發(fā)表于 2025-3-21 19:59:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Abstracting Geographic Information in a Data Rich World
期刊簡(jiǎn)稱Methodologies and Ap
影響因子2023Dirk Burghardt,Cécile Duchêne,William Mackaness
視頻videohttp://file.papertrans.cn/144/143481/143481.mp4
發(fā)行地址Delivers an extensive compendium of current research and development work in the field of automated generalisation.Employs a sequence of core chapters to match the different phases of the teneralisati
學(xué)科分類Lecture Notes in Geoinformation and Cartography
圖書封面Titlebook: Abstracting Geographic Information in a Data Rich World; Methodologies and Ap Dirk Burghardt,Cécile Duchêne,William Mackaness Book 2014 Spr
影響因子Research in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. Thebook addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of ma
Pindex Book 2014
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Adebanjo A. Badejo,Muneharu Esakacluding user generated content), and web friendly mapping services that conceal the complexities of the map design process from the lay user. This summarative chapter highlights yet again, the truly inter disciplinary nature of map generalisation research.
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https://doi.org/10.1007/978-1-4757-9290-4ing. In the implementation, the vario-scale representation of 2D geo-information can be stored as a single 3D (2D+scale) data structure. A single uniform scale map in 2D is then derived by computing a horizontal slice through the structure.
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Book 2014essing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visual
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