12-04, 17:15–17:45 (America/Belem), Room II
GRASS GIS is an open source geoprocessing engine for efficient spatio-temporal data management, analysis, and modeling. The software comes with a Python API, command line and graphical user interfaces, and additional APIs for C and R.
In this talk we will give a comprehensive overview of the latest GRASS GIS developments and upcoming new features. We will cover several improvements to the graphical user interface aimed at increasing the usability and ease the adoption of GRASS GIS. We will also highlight a number of improvements and existing features relevant for industry and academic users to facilitate the integration of GRASS data processing and analysis tools into their workflows using Python or R, either on the command line or in the cloud. Finally, the latest community activities, as well as contribution and funding opportunities will be presented.
Veronica Andreo is a member of the GRASS development team and serves as chair of the Project Steering Committee since 2021. She is currently a visiting scholar at the Center for Geospatial Analytics, in North Carolina State University. Veronica holds a PhD in Biology and an MSc in Remote Sensing and GIS Applications. Back in Argentina, she works as a researcher at CONICET and as a lecturer at Gulich Institute (CONAE - UNC). Her research focuses on uncovering environmental drivers of vector-borne disease outbreaks and distribution through Earth Observation data analysis and modeling.