Working with Multidimensional Scientific Data Using Python

Published: 24 April 2020
on channel: Esri Events

958

The availability and scale of scientific data is increasing exponentially. Fortunately, ArcGIS provides functionality for reading, managing, analyzing and visualizing scientific data stored in three formats widely used in the scientific community – netCDF, HDF and GRIB. Using satellite and model derived earth science data, this session will present examples of data management, and global scale spatial and temporal analyses in ArcGIS. Finally, the session will discuss and demonstrate how to extend the data management and analytical capabilities in ArcGIS using ArcPy and other Python packages.

--------------------------------------------------------------------------------------------------------------------------
Follow us on Social Media!
Twitter:   / esri
Facebook:   / esrigis
LinkedIn:   / esri
Instagram:   / esrigram

The Science of Where: http://www.esri.com

On this page of the site you can watch the video online Working with Multidimensional Scientific Data Using Python with a duration of hours minute second in good quality, which was uploaded by the user Esri Events 24 April 2020, share the link with friends and acquaintances, this video has already been watched 958 times on youtube and it was liked by 11 viewers. Enjoy your viewing!

1,769