World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
7882
World Ranking
2299
National Ranking
972

Overview

Donald E. Myers is a researcher affiliated with the University of Arizona in the United States. Their academic work focuses primarily on Environmental Science, with a specialization in Environmental Engineering. The core areas of study encompass Remote Sensing and LiDAR Applications as well as Soil Geostatistics and Mapping.

Within their research career, Myers has contributed to publications in recognized venues, notably the journal Technometrics. A recent publication includes the paper titled Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach, published in 2020 in Technometrics.

Their scholarly collaborations include frequent co-authorship with colleagues such as Sandra De Iaco and D. Posa, each listed as repeated co-authors on three occasions.

Myers's research topics reflect an engagement with spatial data modeling and geostatistical methods, particularly emphasizing Bayesian approaches in spatial and spatial-temporal contexts. This aligns with the broader environmental science framework and engineering applications targeting environmental monitoring and data interpretation.

  • Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach (2020, Technometrics)

  • Sandra De Iaco
  • D. Posa

  • Technometrics

  • Environmental Science

  • Environmental Engineering

  • Remote Sensing and LiDAR Applications
  • Soil Geostatistics and Mapping

Best Publications

  • The consequences of spatial structure for the design and analysis of ecological field surveys

    Pierre Legendre;Mark R. T. Dale;Marie-Josée Fortin;Jessica Gurevitch

  • Matrix formulation of co-kriging

    Donald E. Myers

  • Conceptual and mathematical relationships among methods for spatial analysis

    Mark R T Dale;Philip Dixon;Marie Josée Fortin;Pierre Legendre

  • Geostatistical Methods Applied to Soil Science

    A. W. Warrick;D. E. Myers;D. R. Nielsen

  • Optimization of Sampling Locations for Variogram Calculations

    A. W. Warrick;D. E. Myers

  • Spatial interpolation: an overview

    Donald E. Myers

  • Space–time analysis using a general product–sum model

    S.De Iaco;D.E. Myers;D. Posa

  • Estimating and modeling space–time correlation structures

    L.De Cesare;D.E Myers;D Posa

  • Geostatistically modeling stem size and increment in an old-growth forest

    Franco Biondi;Donald E. Myers;Charles C. Avery

  • Problems in space-time kriging of geohydrological data

    Shahrokh Rouhani;Donald E. Myers

  • To be or not to be... stationary? That is the question

    D. E. Myers

  • Nonseparable Space-Time Covariance Models: Some Parametric Families

    S. De Iaco;D. E. Myers;D. Posa

  • Pseudo-cross variograms, positive-definiteness, and cokriging

    Donald E. Myers

  • Product‐sum covariance for space‐time modeling: an environmental application

    L De Cesare;D.E Myers;D Posa

  • Interpolation and estimation with spatially located data

    Donald E. Myers

  • Estimation of linear combinations and co-kriging

    Donald E. Myers

  • Co-Kriging — New Developments

    Donald E. Myers

  • Variograms with zonal anisotropies and noninvertible kriging systems

    Donald E. Myers;Andre Journel

  • Kriging, cokriging, radial basis functions and the role of positive definiteness

    Donald E. Myers

  • FORTRAN programs for space-time modeling

    L. De Cesare;D. E. Myers;D. Posa

  • Linear and Generalized Linear Mixed Models and Their Applications

    Donald E Myers

Frequent Co-Authors

Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Franco Biondi
Franco Biondi University of Nevada Reno
David C. Goodrich
David C. Goodrich US Department of Agriculture
Alfred Stein
Alfred Stein University of Twente
Philip M. Dixon
Philip M. Dixon Iowa State University
J.J.K. Daemen
J.J.K. Daemen University of Nevada Reno

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Mathematics degree in the USA opens doors to diverse career opportunities across finance, business, and marketing sectors. Many students complement their math background with advanced online programs tailored for quick career advancement and affordability.

For those interested in the financial industry, exploring cheap online masters in finance can provide a cost-effective path to gaining in-depth financial expertise while leveraging your mathematical skills.

If you want to fast-track your leadership potential, consider accelerated online mba programs. These programs allow you to earn an MBA in a shorter timeframe, ideal for mathematics graduates aiming to enter management roles rapidly.

Marketing professionals with a quantitative edge may find value in an ms in digital marketing degree cost usa. This degree blends marketing analytics and digital strategies, enabling math-savvy students to tap into a growing industry.

Additionally, many opt for a one year mba to quickly enhance business acumen and quantitative decision-making skills, further diversifying their career options. These related degrees offer practical pathways to maximize the potential of a mathematics education.

Best Scientists Citing Donald E. Myers

Trending Scientists

Recently Published Articles