How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing

Authors

Stephen Escarzaga, The University of Texas at El PasoFollow
Craig Tweedie, The University of Texas at El PasoFollow
Olga Kosheleva, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

4-2016

Comments

Technical Report: UTEP-CS-16-14a

To appear in Proceedings of the 2016 World Conference on Soft Computing, Berkeley, California, May 22-25, 2016.

Abstract

In this paper, we show how fuzzy and probabilistic techniques can be used in environment-related data processing. Specifically, we will show that these methods help in solving two environment-related problems: how to predict the birds' nesting sites and how to measure shoreline erosion.