Beyond Tools: Visual Support for the Entire Process of GIScience

Publisher Summary This chapter presents an overview of the science process, illustrates examples of the way current approaches to visualization support certain research activities, and suggests a framework by which additional aspects of: (1) science activity, (2) reasoning mode (inference), (3) outcomes, and (4) pre-requisite data and knowledge can be used to better define the role or roles that different visualization tools can play. To bring visualization tools to the fore, it is important to understand clearly the roles that they play within the entire process of scientific investigation including the various tasks that a researcher might undertake and the different kinds of reasoning that the researcher wish visualization to support or enable. The research challenges that are associated with the use and integration of geovisualization tools from a more semantic, process-oriented approach are also summarized. As geovisualization develops, a broader vision is required by which relevant tools and techniques might be orchestrated into something greater than the sum of their parts. This vision is likely to include perspectives from other disciplines and may continue to incorporate techniques and knowledge from cognate fields with expertise in visualization.

[1]  Noel A Cressie,et al.  Dynamic graphics in a GIS: exploring and analyzing multivariate spatial data using linked software , 1996 .

[2]  P. Thagard,et al.  Computational Philosophy of Science , 1988 .

[3]  A. Whitehead Adventures of ideas , 1933 .

[4]  Mark Monmonier,et al.  Strategies for the visualization of geographic time-series data , 1990 .

[5]  Gennady L. Andrienko,et al.  Interactive maps for visual data exploration , 1999, Int. J. Geogr. Inf. Sci..

[6]  Alan Cameron Wills Components and connectors: catalysis techniques for designing component infrastructures , 2001 .

[7]  Mark Gahegan,et al.  GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization , 2002 .

[8]  Lorenzo Magnani,et al.  Model-Based Reasoning , 2002 .

[9]  E. Bruce MacDougall,et al.  Exploratory Analysis, Dynamic Statistical Visualization, and Geographic Information Systems , 1992 .

[10]  Alan M. MacEachren,et al.  Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods , 1999, Int. J. Geogr. Inf. Sci..

[11]  Mark Gahegan,et al.  Computational and visual support for geographical knowledge construction: Filling in the gaps between exploration and explanation , 2002 .

[12]  P. Langley,et al.  Computational Models of Scientific Discovery and Theory Formation , 1990 .

[13]  Mark N. Gahegan Visual exploration in geography: Analysis with light , 2001 .

[14]  Mark Gahegan,et al.  Is inductive machine learning just another wild goose (or might it lay the golden egg)? , 2003, Int. J. Geogr. Inf. Sci..

[15]  Victor R. Baker PRESIDENTIAL ADDRESS: GEOSEMIOSIS , 1999 .

[16]  Menno-Jan Kraak,et al.  Interactive visualization of a fuzzy classification of remotely sensed imagery using dynamically linked views to explore uncertainty , 2002 .

[17]  P. Thagard,et al.  Abductive Reasoning: Logic, Visual Thinking, and Coherence , 1997 .

[18]  Mark Gahegan,et al.  Distinguishing Instances and Evidence of Geographical Concepts for Geospatial Database Design , 2002, GIScience.

[19]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[20]  Ben Shneiderman,et al.  Treemaps for space-constrained visualization of hierarchies , 2005 .

[21]  Frederico T. Fonseca,et al.  Ontology-driven geographic information systems , 1999, GIS '99.

[22]  Stanley A. Schumm,et al.  To interpret the earth : ten ways to be wrong , 1992 .

[23]  Clemens A. Szyperski,et al.  Component software - beyond object-oriented programming , 2002 .

[24]  Yaser A. Bishr,et al.  Overcoming the Semantic and Other Barriers to GIS Interoperability , 1998, Int. J. Geogr. Inf. Sci..

[25]  K. Popper,et al.  The Logic of Scientific Discovery , 1960 .

[26]  Sven Fuhrmann,et al.  Virtual environments for geographic visualization: potential and challenges , 1999, NPIVM '99.

[27]  M. Kendall,et al.  The Logic of Scientific Discovery. , 1959 .

[28]  Jiawei Han,et al.  Geographic Data Mining and Knowledge Discovery , 2001 .

[29]  Alfred North Whitehead,et al.  Adventures of Ideas , 1934 .

[30]  Mark Gahegan,et al.  Introducing geovista studio: an integrated suite of visualization and computational methods for expl , 2002 .