Hafner Consulting provides data analysis and presentation services for all types of data, primarily using R and other open-source software.
- Data manipulation, e.g., organization and summarization of results, merging, splitting, exporting data.
- Data analysis, e.g., linear regression, analysis of variance, analysis of categorical data, generalized linear models, nonlinear regression and optimization.
- Data presentation, e.g., scatterplots, barplots, maps, animations.
What You Get
- A data analysis "package" for logical and tractable analysis.
- All the code developed for your project, along with an in-depth explanation of the code and underlying logic.
- Service that go beyond typical "canned" "routines" and "PROCs" and extend into software development. Click here for some examples.
- Publication- and presentation-ready graphics in just about any format that display data accurately and clearly.
Environmental and ecological problems can't always be answered by simply collecting and analyzing data. Data collection may be very expensive (e.g., for evaluation of thousands of scenarios in a laboratory experiment) or impossible (e.g., for events in the past or future, or under conditions that cannot be controlled). Development of a mathematical model may be a solution in cases like these. I have worked with and developed models for a variety of physical, chemical, biological, and ecological systems. If you have a project that you think might benefit from a model, please contact me to discuss your application. Examples of some of the models I have developed in the past include:
- Combined numerical speciation/transport model for ammonia emission from animal waste that includes equilibrium and kinetic speciation as well as diffusive and convective transport. With this model, I was able to evaluate the importance of various physical and chemical processes in the emission of ammonia, which is an important air pollutant. You can read more about this model below.
- Analytical model for transport and emission of alcohols and other volatile organic compounds (VOCs) from silage. This model provided a framework for understanding VOC emission from silage, and a starting point for predicting emissions from farms. You can read more about this model below.