Ecological Modeling and Simulation Using Error and Uncertainty Analysis Methods (Project CS-1097).
Abstract
The principle objective of this project is to identify and implement methods for the analysis of error and uncertainty of spatial data in spatially explicit ecological models. The development of these methods for spatial error and uncertainty analysis is done in coordination with Dr. George Gertner and SERDP Conservation Thrust Area Project SC-1096. Methods and tools developped and implemented by our project will be transferred to Project CS-1096 for incorporation within that project's error budget framework and toolbox. Our software tools will also be compatible with the specifications and requirements of DoD and SERDP land management tools and software like the U.S. Army Corps of Engineers' Land Management System (LMS) or others. We have completed the first phase of a survey of existing methods for the analysis of error and uncertainty analysis in spatial data. From this survey we have formulated a general framework for spatial error and uncertainty analysis of ecological models, and we have implemented software tools for treatment of error and uncertainty in categorical spatial data. We have begun the process of testing and refining these software tools.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1999
- Accession Number
- ADA363681
Entities
People
- A. W. King
- B. L. Jackson
- C. Hunsacker
- H. I. Jager
- T. L. Ashwood
Organizations
- Oak Ridge National Laboratory