
Learn to create and manage multi-layered Vega-Lite visualizations for COVID-19 geodata using MLflow, enhancing data communication and lifecycle management for powerful insights.

Explore large-scale geospatial indexing and analysis using Apache Spark, covering challenges, frameworks, data structures, and practical applications in cloud-first architecture with Databricks.

Explore satellite and drone imagery analysis in data science workflows using RasterFrames, a Spark SQL extension with Python API for processing spatial image data and integrating with ML frameworks.

Explore geospatial data challenges in Apache Spark, comparing libraries, and learning best practices for data ingestion, storage, and retrieval using spatial indexing techniques.

Hands-on workshop teaching how to create custom maps and animations using NASA's satellite imagery to visualize environmental changes, disasters, and air quality.

Innovative visualization systems for exploring patterns in large-scale datasets, combining interactive visual techniques with machine learning to enhance data analysis in genomics, geospatial, and time-series fields.

Explore ProRaster Scientific's Classify operation for raster data processing. Learn to classify continuous rasters, reclassify existing data, handle pyramid issues, and perform advanced classifications with practical examples.

Discover new Raster Processing operations in ProRaster Scientific, enabling immediate visualization of huge raster outputs without execution. Learn export, statistics, join, clip, mask creation, reprojection, and more.

Explore Gulf of Mexico's underwater topography through high-resolution bathymetry data. Discover unique seafloor features, analyze salt diapirism, and visualize sea level changes using advanced geospatial tools.

Explore Australia's diverse landscapes through a comparison of GLO-30, MERIT DEM, and Hydrologically Enforced DEM datasets using ProRaster Scientific software.

Explore cardiometabolic disease trends in Canada through Loblaw's advanced analytics, examining pharmaceutical data and health-geospatial insights for diabetes and cardiovascular diseases.

Develop an analytic forecasting framework for COVID-19 vaccination demand in Canadian pharmacies using historical data, geospatial demographics, and digital surveys.

Explore open-source tools for cloud-based geospatial analysis using satellite data. Learn to leverage platforms like Google Earth Engine for environmental applications and gain insights into planetary-scale changes.

Explore cutting-edge AI tools for flood assessment and modeling, including rapid analysis of dam breaches, satellite imagery interpretation, and GIS plugins for efficient flood mapping and impact prediction.

Scientists discuss a new database tracking global ice velocity using NASA/USGS Landsat satellites, providing insights into glacier melting, sea level rise, and seasonal changes in ice movement due to climate change.

Explore Earth science data integration with socio-economic and health data for transdisciplinary research. Learn about challenges and opportunities in data access, harmonization, and analysis frameworks.

Explore hurricane rainfall patterns and geospatial analyses with UF expert Corene Matyas in this engaging discussion at a local brewery, blending science and socializing.

Experts discuss the impact of Russia's invasion on Ukraine's agriculture, using remote sensing and AI to observe land use changes, and examining environmental effects for future recovery efforts.

Explore marine fishing analysis through vessel trajectories, examining global structures and identifying suspicious behaviors in maritime activities.

Explore combining PyReason's annotated logic with abductive inference for robust human movement trajectory generation, countering anomaly detection.

Explore AI tools for enhancing productivity in modeling workflows, including image segmentation, large language models, and data analysis techniques. Learn from experts about innovative applications in flood modeling and terrain analysis.