The integration of Artificial Neural Networks (ANN) and GIS can be used to interpret natural resource information. The feasibility of the integration of these two technologies has been proven in recent research and has potential applications to other forms of geological and hydrological interpretations. A major impedance to the utilization of this integration is the cumbersome flow of information from a PC-based ANN to UNIX workstation ArcInfo. This paper will discuss the information flow requirements to more seamlessly integrate workstation ArcInfo and a PC-based ANN. To streamline the flow of information from a GIS to an ANN and back again, a series of programs is being designed and written. These programs will accept data from ArcInfo and reformat the information into training and data files for an ANN. Another series of programs will then take the resultant files from the ANN and convert it into an ArcInfo coverage for display and map production. The programs will consist of AML routines and C programs for both UNIX and PC environments.
Mobile pen-based computing is a technology with great potential for automating utility field operations. In many cases, GIS is an essential component for the effective use of this new technology. The proposed paper will examine the convergence between pen computing and GIS with linkages to ArcInfo. The paper will discuss how GIS can be tailored to work in the more constrained setting of pen computing and will focus on several projects currently underway in the utility industry. These projects include applications for the on-site design of electric distribution facilities and for gas leak management.
This paper discusses the characteristics desired in a 3-D visualization system for the ArcInfo and ArcView family of products. The features and details of one such implementation are presented. These features include the ability to visualize data in the form of shapefiles, images, ArcInfo coverages, GRIDs, and TINs. The discussion will conclude with a review of application areas that benefit from real-time 3-D visualization capabilities. The talk will be followed by a demonstration of some of the significant capabilities in this implementation.