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Visualizing geospatial data

ACM SIGGRAPH 2004 Course Notes, 2004
This course reviews concepts and highlights new directions in GeoVisualization. We review four levels of integrating geospatial data and geographic information systems (GIS) with scientific and information visualization (VIS) methods. These include:• Rudimentary: minimal data sharing between the GIS and Vis systems• Operational: consistency of ...
Theresa-Marie Rhyne, Alan M. MacEachren
openaire   +2 more sources

Linked Geospatial Data

2012
Huge amounts of geospatial data have been made freely available recently on the Web, for example, maps from geospatial search engines like Google Maps, images from satellites, open geospatial data from national cartographic agencies, and user-contributed geospatial content from social networks.
Koubarakis, M   +3 more
openaire   +2 more sources

The geospatial revolution project

Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications - COM.Geo '11, 2011
Penn State Public Broadcasting has produced the Geospatial Revolution Project, an integrated public media and outreach initiative about the world of digital mapping and how it is changing the way we think, behave and interact. With the goal of increasing public awareness of geospatial technologies, the project offers four 15-minute online mini ...
null Penn State Public Broadcasting   +1 more
openaire   +2 more sources

Geospatial Computing Collaborations

2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2019
Geospatial algorithm development is a complex collaborative process involving remote sensing scientists with different expertise needing to cooperate on massive and diverse datasets. These datasets can range from satellite imagery to citizen scientist observations, and include both publicly available and proprietary resources.
Derek Jacoby   +5 more
openaire   +1 more source

Towards a Geospatial Big Data Platform for Geospatial Information Services

2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2019
In the big data era, there are various geospatial data and processing algorithms that can be available and accessible on the Web. It is often necessary to access all these resources using standardized interfaces and services, and build an integrated platform with capabilities of geospatial big data management and processing.
Boyi Shangguan   +3 more
openaire   +1 more source

Geospatial information utility: an estimation of the relevance of geospatial information to users

Decision Support Systems, 2004
As the acquisition and use of information are costly, the optimal use of information involves economic tradeoffs. Therefore, valuing information is attracting research and thought. However, till now, little attention has been paid to the geospatial information domain, which is increasingly coming to the attention of decision makers seeking to improve ...
W. Lee Meeks, Subhasish Dasgupta
openaire   +1 more source

An LLM Agent for Automatic Geospatial Data Analysis

arXiv.org
Large language models (LLMs) are being used in data science code generation tasks, but they often struggle with complex sequential tasks, leading to logical errors.
Yuxing Chen   +3 more
semanticscholar   +1 more source

Geospatial UK: Linking Scotland to a Geospatial Future

The geospatial industry is one of the fastest growing industries in the United Kingdom, and Scotland in particular is looking to leverage this boom in order to become a major geospatial hub within Europe. However, the majority of businesses in this sector report issues with both hiring and retaining adequate numbers of geospatial professionals to ...
openaire   +2 more sources

Applications of geospatial technologies for construction and demolition waste management: A systematic literature review

Journal of Industrial Ecology
Construction and demolition waste management (CDWM) is a grand challenge on a global scale. Traditional CDWM has heavily relied on anthropological approaches, which may prevent stakeholders from acquiring a comprehensive understanding of a macro ...
Zhikang Bao   +5 more
semanticscholar   +1 more source

Geospatial Correspondences for Multimodal Registration

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
The growing availability of very high resolution (<;1 m/pixel) satellite and aerial images has opened up unprecedented opportunities to monitor and analyze the evolution of land-cover and land-use across the world. To do so, images of the same geographical areas acquired at different times and, potentially, with different sensors must be efficiently
Marcos, Diego   +2 more
openaire   +1 more source

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