Digital landscape modeling and visualization: a research agenda

Abstract Digital landscape models, whether made for purposes of ‘visual inference’, or for simulating and understanding behavior or other invisible aspects of the landscape, require abstractions and simplifications. Yet for many visual purposes, ‘realistic’ depictions are desirable. The conflicts between these two demands are substantial for landscape modelers. For the basic landscape elements — terrain, vegetation, and water — some standard techniques for convincing static visual representation have been developed, but many complicating questions and obstacles remain. In addition, landscapes are essentially dynamic, and digital techniques for representation of these dynamics are still in their infancy. Surveying these techniques, complications, and possibilities leads to some generalized comments about the promises and problems of landscape modeling, and to a handful of proposed research topics to help pursue the landscape modeling agenda.