The Wolfram Solution for

Environmental Sciences

Whether it's for climate change prediction, alternative energy development, or pollution modeling, the Wolfram environmental sciences solution lets you work easily with any data (including data from Wolfram|Alpha), apply the most sophisticated computational techniques, and generate fully interactive models that are ideal for publishing or results verification.

Powerful computational abilities for large-scale environmental modeling
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Wolfram technologies include thousands of built-in functions and curated data on many topics that let you:

  • Model the dispersion of pollutants in the atmosphere with the finite element method
  • Use built-in historical weather data or climate data from Wolfram|Alpha to study environmental changes
  • Solve complicated chemical kinetic modeling problems to develop fuels from new sources
  • Create engineering models to optimize production methods of solar panels and use built-in weather data to backtest their reliability
  • Study the chemistry of air pollution to design cleaner cars
  • Examine satellite data to study deforestation
  • Analyze soil test or atmospheric data to track the spread of contaminants or monitor cleanup efforts

Build a presentation with text, graphics, formatted math, and interactive elements in one document

Import and visualize your data in hundreds of formats or work with data from web services

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Import experimental data, perform computations, and deliver results in one interactive document rather than working with several applications, making it easy to share data
    Excel, R, STATA, and other programs do not offer an integrated document environment
  • Integrated automatic report generation to instantly generate reports with graphics, text, and code, making it easy for others to verify your results
    Sage, Octave and other freeware do not support automatic report generation
  • Symbolic calculations improve the accuracy and reliability of environmental science models over solely numeric computations
    R, STATA, MATLAB, and other numerical systems do not have integrated symbolic functionality
  • Instantly create interactive modeling or data analysis tools without programming expertise
  • Powerful symbolic statistical computation and built-in functions for all standard statistical distributions
    Advanced symbolic computational capabilities are unique to the Wolfram Language
  • Create highly customized, presentation-quality visualizations, including charts, bar charts, scatter plots, and many more
    SPSS requires explicit programming for customized charts

Create interactive tools for data analysis or to easily change parameters in models

Analyze energy production from a wind turbine

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

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