This paper shows how the entropy concept can be used inside the GIS to evaluate information content present in spatially distributed data structures. More specifically, referring to both raster and vector data structures, some experiences are shown which have been obtained on an experimental basin about the use of the entropy concept in the identification of the most suitable data set (characterized by means of the smallest data volume) to describe the rainfall-runoff process.
Swipe to navigate through the chapters of this book
- Analysis of the Information Content of Environmental Data Using GIS Procedures
- Springer Netherlands
- Sequence number