fundamental goal of the GeoVISTA Studio project is to improve geoscientific
analysis by providing an environment that operationally integrates a wide
range of analysis activities, including those both computationally and visually
based. We argue here that improving the infrastructure used in analysis has
far-reaching potential to better integrate human-based and computationally-based
expertise, and so ultimately improve scientific outcomes. But to address these
challenges, some difficult system design and software engineering problems
must be overcome.
paper illustrates the design of a component-oriented system, GeoVISTA
Studio, as a means to overcome such difficulties by using state-of-the-art
component-based software engineering techniques. Advantages described include:
ease of program construction (visual programming), an open (non-proprietary)
architecture, simple component-based integration and advanced deployment methods.
This versatility has the potential to change the nature of systems development
for the geosciences, providing better mechanisms to coordinate complex functionality,
and as a consequence, to improve analysis by closer integration of software
tools and better engagement of the human expert. Two example applications
are presented to illustrate the potential of the Studio environment
for exploring and better understanding large, complex geographical datasets
and for supporting complex visual and computational analysis.
programming, exploratory data analysis (EDA), knowledge construction, Java,
component-oriented programming (COP)
Full Paper (pdf) - This paper has been accepted and will appear in Journal
of Computers & Geosciences.