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Alan M. MacEachren

Researcher at Pennsylvania State University

Publications -  212
Citations -  13508

Alan M. MacEachren is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Geovisualization & Visual analytics. The author has an hindex of 55, co-authored 210 publications receiving 12763 citations. Previous affiliations of Alan M. MacEachren include University of Kansas & Penn State Cancer Institute.

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Book

How Maps Work: Representation, Visualization, and Design

TL;DR: Part 1 How meaning is derived from maps: taking a scientific approach in improving map representation and design an information processing view of vision and visual cognition - cartographic implications how Maps are seen how maps are understood.
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Research challenges in geovisualization

TL;DR: In this article, the authors present research challenges in Geovisualization, and present a survey of the most important challenges in this area. Cartography and Geographic Information Science: Vol. 28, No. 1, pp. 3-12.
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Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know

TL;DR: Progress toward visual tools and methods to help analysts manage and understand information uncertainty are reviewed and progress toward frameworks for representing uncertainty, visual representation and user control of displays of information uncertainty is assessed.
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Geovisual analytics for spatial decision support: Setting the research agenda

TL;DR: This article summarizes the results of the workshop on Visualization, Analytics & Spatial Decision Support, which took place at the GIScience conference in September 2006, and suggests a new research direction ‘Geovisual Analytics for Spatial decision Support’, which emphasizes the importance of visualization and interactive visual interfaces and the link with the emerging research discipline of Visual Analytics.
Proceedings ArticleDOI

SensePlace2: GeoTwitter analytics support for situational awareness

TL;DR: This work focuses on leveraging explicit and implicit geographic information for tweets, on developing place-time-theme indexing schemes that support overview+detail methods and that scale analytical capabilities to relatively large tweet volumes, and on providing visual interface methods to enable understanding of place, time, and theme components of evolving situations.