OpenStreetMap in GIScience

Beschreibung

This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, GIS, social science, and cartography.
This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, GIS, social science, and cartography.
There is no book specifically dealing with research and applications on OpenStreetMap This edited book will provide the GIScience community with a solid collection of practical lessons learned and research that does not exist in the market but is in demand The authors are highly experienced and well-known in the GIScience community due to their research on OpenStreetMap Includes supplementary material: sn.pub/extras

Autor*in

Jamal Jokar Arsanjani

Themen in »OpenStreetMap in GIScience«

Crowdsourcing Data Mining Geoinformation Geographic Information Science OpenStreetMap Social Media Mapping User Generated Content Volunteered Geographic Information

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“This academic title fulfills its promise of an up-to-date university summary of related ‘experiences, research, and applications.’ It is an edited text by academics specifically focused on the use of OpenStreetMap in the geographical information sciences. … This text is excellent for an academic research audience. … it has excellent references and specific thoughts, which together should indeed stimulate further research by the intended audience.” (David Bellin, Computing Reviews, January, 2016)

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