Publication
Ecological Informatics
Date
May 2016
Volume
34
Pages
92 - 101
Title

A platform-independent fuzzy logic modeling framework for environmental decision support

Abstract

Fuzzy logic modeling is a useful method for evaluating landscapes for conservation and resource planning and has
been successfully used in different types of ecological and environmental studies. A variety of software packages
have been produced to facilitate fuzzy logic modeling, but each is either associated with a specific computer program
or does not comprise a complete modeling system. The Environmental Evaluation Modeling System (EEMS) is a
platform-independent fuzzy logic modeling framework for environmental decision support. EEMS has been designed
so that it can easily be adapted to work with different file types and interface with other software systems.
It has been implemented to work with NetCDF and CSV file formats as a command line application, in the ArcGIS
ModelBuilder environment, and as part of a web-based data exploration tool. In a performance test, EEMS was
run using a dataset with four million reporting units per map layer and yielded execution times of less than 30 s.
Results from an EEMS model for Utah and the Colorado Plateau show a complex pattern of site sensitivity.

Citation

Sheehan, T. and Gough, M. (2016) A platform-independent fuzzy logic modeling framework for environmental decision support. Ecological Informatics. 34:92-101

Full Article
CBI Authors & Contributors
Ecological Modeler, Team Lead- Decision Support & GIS
GIS Analyst, Data Manager
 
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