Scientific data is powerful
Scientific data is powerful. It drives research on climate change, energy assurance, space exploration, earth science, water monitoring/security, and more. It can unlock the mysteries of the world.
Esri’s latest integration of ArcGIS with advanced scientific libraries such as NetCDF, OpenData and advanced programming languages such as R, are enabling GIS users greater access to scientific data and content supporting geoprocessing and analysis domains specific to the science community. Esri’s ArcGIS 10.3 enables integration with SciPy, the Python-based ecosystem of open-source software for mathematics, science, and engineering.
Regardless of your focus or affiliation — climate, agriculture, hydrology, conservation, geophysics, or oceans — analyzing, visualizing and sharing scientific data is imperative. Esri can help you explore the value of integrating multi-dimensional scientific data with geographic information systems (GIS) to:
- Effectively communicate scientific knowledge
- Accelerate analysis
- Address real-world problems
- Increase the use of scientific data by non-traditional users and citizens