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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.
This book aims to promote the synergistic usage of advanced
computational methodologies in close relationship to geospatial
information across cities of different scales. A rich collection of
chapters subsumes current research frontiers originating from
disciplines such as geography, urban planning, computer science,
statistics, geographic information science and remote sensing. The
topics covered in the book are of interest to researchers,
postgraduates, practitioners and professionals. The editors hope
that the scientific outcome of this book will stimulate future
urban-related international and interdisciplinary research,
bringing us closer to the vision of a "new science of cities."
The thesis is an original and novel contribution to land use/land
cover change analysis using methods of geosimulation and
agent-based modeling. The author implements several traditional
methodologies of land use change by means of remote sensing and GIS
techniques. An Agent-Based Model was developed in order to simulate
land use change in the Tehran metropolitan area, comparing the
outcomes of each particular methodology. All methods are compared,
and advantages and disadvantages discussed.
The thesis is an original and novel contribution to land use/land
cover change analysis using methods of geosimulation and
agent-based modeling. The author implements several traditional
methodologies of land use change by means of remote sensing and GIS
techniques. An Agent-Based Model was developed in order to simulate
land use change in the Tehran metropolitan area, comparing the
outcomes of each particular methodology. All methods are compared,
and advantages and disadvantages discussed.
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