Workshops
- Python for Geospatial Big Data and Data Science using FASRC
This workshop focuses on analyzing geospatial big data sets using Python and Harvard's FASRC. It covers a range of tools and techniques essential for data science and big data computations. Participants will learn to work with their own data sets, applying these analyses across diverse research use cases. The workshop is available as an open-source resource for the broader community on YouTube.
The workshop aims to train participants in leveraging ArcGIS Enterprise hosted on the New england research cloud (NERC) platform for efficient handling and analysis of GIS big data, focusing on data science applications. The workshop is available as an open-source resource for the broader community on YouTube.
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2024 Summer Workshop on Spatiotemporal Innovation
Sponsored by the Spatial Data Lab, this hands-on workshop is to promote replicable and expandable spatiotemporal science with advanced methodology and technology. With a focus on geospatial analytics and GeoAI analytics, the workshop discusses methodology, functions, workflow-based tools for spatiotemporal data analysis as well as case studies for their applications across different fields, including public health, business, social media, remote sensing, and environment. The workshop offers an excellent opportunity for participants to network, collaborate, and further develop their leadership knowledge and skills.
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Geospatial Data Management with PostGIS
PostGreSQL is a powerful open source object-relational database system. PostGIS provides spatial objects for PostgreSQL database with numerous spatial data processing capabilities. In this workshop the widely used geospatial relational database PostgreSQL/ PostGIS, is introduced. Installation and configuration of PostGIS on an Amazon instance is covered followed by spatial data loading, the use of Spatial SQL for spatial analysis, and export of results. The use of QGIS as a PostGIS query and visualization client is also be covered. The workshop is available as an open-source resource for the broader community on GitHub here.