Designing a human-centered, multimodal GIS interface to support emergency management
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Attribute Blocks: Visualizing Multiple Continuously Defined Attributes
IEEE Computer Graphics and Applications
Visual exploration and analysis of historic hotel visits
Information Visualization
Dynamic mapping of nature values to support prioritization of coastal oil combating
Environmental Modelling & Software
Collaborative virtual geographic environments: A case study of air pollution simulation
Information Sciences: an International Journal
Human-centered visualization environments
Human-centered visualization environments
A chorem-based approach for visually analyzing spatial data
Journal of Visual Languages and Computing
Analyzing demographic and economic simulation model results: a semi-automatic spatial OLAP approach
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
Interactive exploration of geospatial network visualization
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Visualization with a new visual metaphor for hierarchical and stratified temporal domain
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
Definition and analysis of new agricultural farm energetic indicators using spatial OLAP
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Spatial OLAP and Map Generalization: Model and Algebra
International Journal of Data Warehousing and Mining
Neighborhood relation diagrams for local comparison of carbon footprints in urban planning
Information Visualization
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Geovisualization is both a process for leveraging the data resources to meet scientific and societal needs and a research field that develops visual methods and tools to support a wide array of geospatial data applications. While researchers have made substantial advances in geovisualization over the past decade, many challenges remain. To support real-world knowledge construction and decision making, some of the most important challenges involve distributed geovisualization - that is, enabling geovisualization across software components, devices, people, and places.