Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography

Mapping the Results of Geographically Weighted Regression

“…In addition, dynamically linking statistical graphics, such as scatter plots and parallel coordinate plots (e.g. Gahegan et al, 2002), to the maps of parameter estimates and significance would facilitate the exploration of the multivariate 'signatures' associated with regions of homogeneity regarding the relationship between explanatory and dependent variables.…”

Introduction: What is a Self‐Organizing Map?

“…In fact, most geographic SOM applications still suffer from a lack of imagination regarding integration, as indicated by the preponderance of run-off-the-mill graphic output from dedicated SOM software (especially the SOM Toolbox for Matlab) in the GIScience literature. One example for a different direction is the integration of SOM training and visualization in the GeoVISTA Studio system (Gahegan et al, 2002). An interactive approach mostly unexplored is the linking of different SOM solutions, for example linking a high-resolution SOM to one consisting of a small number of neurons.…”

Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach

“…The integrated approach was designed and implemented within a component-oriented framework where different components (or a suite of components) focus on different parts of an analysis problem. These components all comply with the JAVA Bean specification and therefore can be easily integrated in GeoVISTA Studio (Gahegan et al 2001) or other Java development platforms. Below we present details for each component introduced above and for the overall humancentered geographic knowledge discovery process.…”