Tools that accelerate insights in earth and environmental sciences
- Planetary predictions
- Life science
Our earth and environmental collaboration projects focus on the development and adoption of technologies for scientific visualization and data management—especially technologies that accelerate insight in the environmental and earth sciences.
- 2D Histogram
This app for Microsoft Excel helps you create a 2D histogram (sometimes called a density plot), which visualizes the joint distribution of two columns of data. It counts and buckets data points in each column together, and creates a heat map with the frequency of those buckets. A 2D histogram can be helpful to see how many data points fall into a pair of related categories.
- Dynamic Data Display for Silverlight
Dynamic Data Display adds interactive visualization of dynamic data to your Silverlight application. The download contains a set of UI controls for creating line graphs, bubble charts, heat maps, and other complex 2-D plots. The library integrates well with the Bing Maps control to show data in latitude/longitude coordinates. The controls are compatible with Expression Blend and Visual Studio Silverlight designers, or they can be operated programmatically.
- FetchClimate Client
For a given geographic area and time interval, the FetchClimate client retrieves environmental parameters such as air temperature or precipitation. It can be used as a standalone command-line tool or can be linked to your program in C, C#, or another Microsoft .NET language.
- FetchClimate Web App
Retrieve global environmental data for any geographical region, at any grid resolution, and for any range of years, days within the year, and/or hours within the day. FetchClimate is a fast, free, intelligent environmental information retrieval service that operates over the cloud. You can access it through a simple web interface or via a few lines of code inside any .NET program.
Filzbach is a flexible, fast, robust, parameter-estimation engine that enables you to parameterize arbitrary, non-linear, parameter-rich models—of the kind that are necessary in biological sciences, for example--against multiple, heterogeneous data sets. Filzbach supports Bayesian parameter estimation, maximum-likelihood analysis, priors, latents, hierarchies, error propagation, and model selection. The Filzbach package can be used with Visual Studio 2010 or Visual Studio 2010 Express.
FilzbachR is an interoperability library that allows the already released Filzbach package to be accessed from the R programming environment.
Layerscape lets you explore and share 3-D and 4-D visualizations of complex Earth and ocean datasets via WorldWide Telescope. You can create virtual tours based on scientific discoveries and share information with the Earth-sciences community.
- Scientific Data-Set Library and Tools
The Scientific Data-Set library makes it easy for .NET developers to read, write, and share scalars, vectors, matrices, and multidimensional grids common in scientific modeling. It supports CSV, NetCDF, and other file formats.
- SPiM Player
A stochastic pi-calculus simulator with graphical user interface. Binary (.exe) release only. Written in F#.
This app for Microsoft Excel helps you create a streamgraph, also known as a stacked area chart. It shows how several series of values change over time by their relative area, and displays the total between all the series.
This app for Microsoft Excel helps you create a treemap, which gives you a hierarchical view of data. It shows how the parts of hierarchy compare in size to each other.
- WorldWide Telescope
This rich visualization environment functions as a virtual telescope, bringing together imagery from the best ground- and space-based telescopes to enable seamless, guided explorations of the universe.
- WorldWide Telescope Add-in for Excel
The WorldWide Telescope (WWT) Add-in for Excel enables users to visualize location-based data, with latitude/longitude or right ascension/declination, in WWT. This is achieved by sending data from Excel to WWT with the use of loosely coupled application-programming interfaces exposed by WWT. The Excel add-in enables users to leverage the power of Excel for importing external location-based data with different formats and to visualize them in WWT. Users can share WWT visualization parameters with this Excel Add-in.