Esri Advances Scientific Analysis with SciPy
Esri announces the integration of SciPy and ArcGIS. Scientists, engineers, and GIS professionals will use SciPy to get more value from ArcGIS for scientific applications. Users will find it easier to develop geoprocessing tools that perform specific scientific and technical tasks.
SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. Python is an easy to learn, highly scalable, stable scripting language. Users that access SciPy script from within the Esri ArcGIS environment will no longer need to “start from scratch” to program processes for solving scientific and technical problems.
SciPy extends the basic functionality of Python by adding modules that perform functions useful to the scientific and engineering communities. For instance, an atmospheric scientist may use the image filtering modules to delineate zones of horizontal transport of water vapor. A transportation geographer could use the Markov chain modules to simulate traffic flow. A fisheries scientist or resource manager might access the linear algebra modules to set a harvest quota for a fish stock. A geoscientist could initiate symbolic mathematics routines to trace faults and model crustal movement. An ocean scientist may use the calculus module to calculate ocean dynamics.
SciPy will be integrated with ArcGIS through a staged release. Initially, it will be available for ArcGIS Pro as an optional install when ArcGIS 10.3 is released. Later, SciPy will be automatically installed in ArcGIS 10.3.1.