Color plays a major role in the analysis and communication of scientific information. New tools are helping to improve how color can be applied more accurately and effectively to data.
Earth scientists need software technology that better integrates legacy data with current and future processing capabilities so they can assess and reproduce their colleagues’ results.
New tools to model and visualize subduction zones in 3-D are providing researchers with insights into the gaps inherent in the theory of plate tectonics.
Building well-documented, citable frameworks for Earth data analysis will encourage scientific replicability by addressing the underlying issues that inhibit code sharing.
Geographic information system software, created for mapping cities and continents, works equally well with the minuscule layers and inclusions that record a crystal’s history.
A new climate model evaluation package will deliver objective comparisons between models and observations for research and model development and provide a framework for community engagement.
Combining the capabilities of an open-source drawing tool with Google Earth maps allows researchers to visualize real-world cross-sectional data in three dimensions.
Climate Inspector: A new Web-based approach to exploring global climate change across space and time.
DJ Patil urged scientists to make better use of their data to persuasively communicate findings to broad audiences. Some of the best data scientists work in Earth and space sciences, he added.