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This open access book includes methods for retrieval, semantic
representation, and analysis of Volunteered Geographic Information
(VGI), geovisualization and user interactions related to VGI, and
discusses selected topics in active participation, social context,
and privacy awareness. It presents the results of the DFG-funded
priority program "VGI: Interpretation, Visualization, and Social
Computing" (2016-2023).The book includes three parts representing
the principal research pillars within the program. Part I
"Representation and Analysis of VGI" discusses recent approaches to
enhance the representation and analysis of VGI. It includes
semantic representation of VGI data in knowledge graphs;
machine-learning approaches to VGI mining, completion, and
enrichment as well as to the improvement of data quality and
fitness for purpose. Part II "Geovisualization and User
Interactions related to VGI" book explores geovisualizations and
user interactions supporting the analysis and presentation of VGI
data. When designing these visualizations and user interactions,
the specific properties of VGI data, the knowledge and abilities of
different target users, and technical viability of solutions need
to be considered. Part III "Active Participation, Social Context
and Privacy Awareness" of the book addresses the human impact
associated with VGI. It includes chapters on the use of wearable
sensors worn by volunteers to record their exposure to
environmental stressors on their daily journeys, on the collective
behavior of people using location-based social media and movement
data from football matches, and on the motivation of volunteers who
provide important support in information gathering, filtering and
analysis of social media in disaster situations. The book is of
interest to researchers and advanced professionals in
geoinformation, cartography, visual analytics, data science and
machine learning.
This volume comprehends a selection of papers presented during the
26th International Cartographic Conference held in Dresden from the
26th to the 30th of August 2013. It covers many fields of relevant
Mapping and GIS research subjects, such as cartographic
applications, cartographic tools, generalisation and update
Propagation, higher dimensional visualisation and augmented
reality, planetary mapping issues, cartography and environmental
modelling, user generated content and spatial data infrastructure,
use and usability as well as cartography and GIS in education.
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. The book 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 map
generalisation algorithms. It explores the application of
generalisation methodologies in the context of growing volumes of
data and the increasing popularity of user generated content.
This open access book includes methods for retrieval, semantic
representation, and analysis of Volunteered Geographic Information
(VGI), geovisualization and user interactions related to VGI, and
discusses selected topics in active participation, social context,
and privacy awareness. It presents the results of the DFG-funded
priority program "VGI: Interpretation, Visualization, and Social
Computing" (2016-2023).The book includes three parts representing
the principal research pillars within the program. Part I
"Representation and Analysis of VGI" discusses recent approaches to
enhance the representation and analysis of VGI. It includes
semantic representation of VGI data in knowledge graphs;
machine-learning approaches to VGI mining, completion, and
enrichment as well as to the improvement of data quality and
fitness for purpose. Part II "Geovisualization and User
Interactions related to VGI" book explores geovisualizations and
user interactions supporting the analysis and presentation of VGI
data. When designing these visualizations and user interactions,
the specific properties of VGI data, the knowledge and abilities of
different target users, and technical viability of solutions need
to be considered. Part III "Active Participation, Social Context
and Privacy Awareness" of the book addresses the human impact
associated with VGI. It includes chapters on the use of wearable
sensors worn by volunteers to record their exposure to
environmental stressors on their daily journeys, on the collective
behavior of people using location-based social media and movement
data from football matches, and on the motivation of volunteers who
provide important support in information gathering, filtering and
analysis of social media in disaster situations. The book is of
interest to researchers and advanced professionals in
geoinformation, cartography, visual analytics, data science and
machine learning.
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. The book 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 map
generalisation algorithms. It explores the application of
generalisation methodologies in the context of growing volumes of
data and the increasing popularity of user generated content.
This volume comprehends a selection of papers presented during the
26th International Cartographic Conference held in Dresden from the
26th to the 30th of August 2013. It covers many fields of relevant
Mapping and GIS research subjects, such as cartographic
applications, cartographic tools, generalisation and update
Propagation, higher dimensional visualisation and augmented
reality, planetary mapping issues, cartography and environmental
modelling, user generated content and spatial data infrastructure,
use and usability as well as cartography and GIS in education.
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