David I Donato
By profession and avocation, David I. Donato is an applied mathematician and computational scientist. David has contributed as a quantitative professional to a number of the programs of the Department of the Interior, including offshore minerals leasing, quantitative policy analysis, information dissemination, and geographic and regional studies.
In addition to his work in applied mathematics, statistics, and scientific computation, he has developed and administered Web sites and has designed and built interactive Web applications. He has also applied his knowledge of quantitative micro-economics to various studies and analyses, including work with mercury in fish and land-change modeling. Because of his particular interest in probability and mathematical statistics, he specializes in stochastic computer simulation. David is an expert scientific programmer and a prolific technical writer. In recent years he has worked on statistical modeling of mercury in fish tissue and spatially-explicit land-change modeling.
Research Interests
- Modeling spatially-explicit environmental and land-use futures
- Designing scientific computer models for generality and radically deep interoperation
- Developing (designing and coding) stochastic computer simulations and models
- Solving difficult quantitative and computational problems using mathematics, statistics, GIScience, economics, and comput
Professional Experience
Research Computer Scientist U.S. Geological Survey 2009-Present
Computer Scientist U.S. Geological Survey 1997-2009
Operations Research Analyst U.S. Geological Survey 1985-1997
Statistician Minerals Management Service 1982-1985
Statistician Bureau of Land Management 1976-1982
Education and Certifications
B.S. in Mathematics from Colorado State University - Pueblo (1975)
Massachusetts Institute of Technology
Tulane University College (New Orleans)
University of New Orleans
Affiliations and Memberships*
American Statistical Association (ASA)
Association for Computing Machinery (ACM)
IEEE and IEEE Computer Society
Mathematical Association of America
Science and Products
The USGS pursues research programs related to land change and land-change modeling as well as environmental mercury as a contaminant that affects the health of fish and other wildlife.
Historic and forecasted population and land-cover change in eastern North Carolina, 1992-2030 Historic and forecasted population and land-cover change in eastern North Carolina, 1992-2030
Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish
Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States
Computing maximum-likelihood estimates for parameters of the National Descriptive Model of Mercury in Fish Computing maximum-likelihood estimates for parameters of the National Descriptive Model of Mercury in Fish
Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model
Secure Web-Site Access with Tickets and Message-Dependent Digests Secure Web-Site Access with Tickets and Message-Dependent Digests
Science and Products
The USGS pursues research programs related to land change and land-change modeling as well as environmental mercury as a contaminant that affects the health of fish and other wildlife.
Historic and forecasted population and land-cover change in eastern North Carolina, 1992-2030 Historic and forecasted population and land-cover change in eastern North Carolina, 1992-2030
Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish
Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States
Computing maximum-likelihood estimates for parameters of the National Descriptive Model of Mercury in Fish Computing maximum-likelihood estimates for parameters of the National Descriptive Model of Mercury in Fish
Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model
Secure Web-Site Access with Tickets and Message-Dependent Digests Secure Web-Site Access with Tickets and Message-Dependent Digests
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government