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Facilitate Scientific Discovery with ArcGIS Analysis Ecosystem
We rely on Earth to sustain us. Yet our human footprint is creating many challenges. It's safe to say that what we've done with environmental degradation, depletion of natural resources, and the issues of social instability are creating uncertainty for us all. Any one of these issues is overwhelming. And they're all interconnected — climate change, natural disasters, loss of nature, overpopulation.
Understanding today's complex challenges and its response require better understanding of Earth’s system of system’s, it requires an interconnected world, where our best science, our best information, our best technologies, and our best communication and collaboration efforts are linked. GIS provides the connecting rod to facilitate scientific discovery that is needed to transform our world, to make it a place where humanity and nature can not only co-exist, but also thrive.
Join a team of scientists who will showcase how a geospatial infrastructure, ArcGIS, provides the means to integrate and access data from multiple sources, formats, and scientific domains, and to perform analysis cutting across varied time and space attributes, to see spatial patterns and trends, through maps, charts, animations, 3D views and to help us better understand our world. This session includes presentations and five technical demonstrations to extract deeper insights from massive volumes of multidimensional earth observations, using interconnected tools, analytical methods, and spatial algorithms, including machine learning, deep learning, Notebooks, and R scripting techniques to better understand our world so that we are prepared to act.
Presenter(s): Dr. Lorraine Tighe (Esri), Ryan Bolt (NOAA), Dr. Joseph Kerski (Esri), Ankita Bakshi (Esri), Matthew Tisdale (NASA), and Dr. Orhun Aydin (Esri).