GeoCAM: A geovisual analytics workspace to contextualize and interpret statements about movement

Anuj Jaiswal, Scott Pezanowski, Prasenjit Mitra, Xiao Zhang, Sen Xu, Ian Turton, Alexander Klippel, Alan M. MacEachren

Research output: Contribution to journalArticle

4 Scopus citations


This article focuses on integrating computational and visual methods in a system that supports analysts to identify, extract, map, and relate linguistic accounts of movement. We address two objectives: (1) build the conceptual, theoretical, and empirical framework needed to represent and interpret human-generated directions; and (2) design and implement a geovisual analytics workspace for direction document analysis. We have built a set of geo-enabled, computational methods to identify documents containing movement statements, and a visual analytics environment that uses natural language processing methods iteratively with geographic database support to extract, interpret, and map geographic movement references in context. Additionally, analysts can provide feedback to improve computational results. To demonstrate the value of this integrative approach, we have realized a proof-of-concept implementation focusing on identifying and processing documents that contain human-generated route directions. Using our visual analytic interface, an analyst can explore the results, provide feedback to improve those results, pose queries against a database of route directions, and interactively represent the route on a map.

Original languageEnglish (US)
Pages (from-to)65-101
Number of pages37
JournalJournal of Spatial Information Science
Issue number2011
Publication statusPublished - Jan 1 2011


All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development
  • Computers in Earth Sciences

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