NSF POSE Project 2023-2025 Timeline

To inform GRASS community about the work done as part of the award 2303651 from the U.S. National Science Foundation (NSF) to enhance GRASS ecosystem, the following report summarizes the progress and outcomes in quarterly reports and presents the roadmap for the project.

The two main goals of the project are: 1) to facilitate the adoption of GRASS GIS as a key geoprocessing engine by a growing number of researchers and geospatial practitioners in academia, governments, and industry; and 2) to expand and diversify the developer community, especially through supporting next-generation scientists to gain expertise to maintain and innovate GRASS software.

Principal investigators and senior personnel:

• Helena Mitasova, North Carolina State University (Principal Investigator)
• Vaclav Petras, North Carolina State University (Co-Principal Investigator)
• Anna Petrasova, North Carolina State University (Co-Principal Investigator)
• C Michael Barton, Arizona State University (Co-Principal Investigator)
• Huidae Cho, New Mexico State University (Co-Principal Investigator)
• Giuseppe Amatulli, Yale (Senior Personnel)

Other personnel who is joining for the execution of the grant is listed below when relevant.

1st quarter report

Project Announcements and Communication

• Announcement on GRASS website.
• Info session to explain the POSE Project (Announcement on GRASS user mailing list, 2 sessions for different time zones).
• Collected statistics from GitHub, X and others and set up automated collection for GitHub.

Conference Presentations

• Parallelization Tips for Geoprocessing with GRASS GIS by Anna Petrasova at FOSS4GNA, October 2023.
• GRASS GIS: Not What You Think by Vaclav Petras at FOSS4GNA, October 2023.
• Computational Notebooks for Reproducible Geospatial Computation in Research and Education by Caitlin Haedrich at FOSS4GNA, October 2023.
• State of GRASS GIS: 40 Years Strong and Counting by Huidae Cho at FOSS4G Asia, November 2023.

Training and Workshops

• Unlock the power of GRASS GIS by Anna Petrasova and Caitlin Haedrich at FOSS4GNA, October 2023.
• Develop Geospatial Workflows and Custom Tools with GRASS GIS by Vaclav Petras and Corey White at FOSS4GNA, October 2023.
• Big Data Computing with GRASS GIS by Anna Petrasova and Vaclav Petras at NC State GIS week, November 2023.
• GIS Week Workshop: High Performance Computing for Geospatial Analysis (GRASS GIS part) by Vaclav Petras (main lecture lead by Andrew Petersen from NCSU OIT) at NC State GIS week, November 2023.
• Geocomputation and Machine Learning for Environmental Applications training course announced. GRASS GIS part led by Giuseppe Amatulli is free of charge thanks to the support by NSF.

Community Sprint Participation

Anna Petrasova and Vaclav Petras remotely participated in OSGeo 2023 code sprint doing PR reviews and maintenance of GRASS GIS code, documentation, and website.

Mentoring Program

• Started a development-oriented mentoring program announced with details available on a wiki page.
• Program now has 4 participants (from 12 responses) supported by email and video calls.
• Program already resulted in improvements to GRASS GIS core and addons:
  • merged PR: grass.script: ensure memmap content is flushed before writing to a raster
  • radar addon toolset PR: Add i.saocom and i.sar toolsets

Mentoring Program is a new effort started and so-far performed only by the POSE team.

Student Grants Program

Student grants announced with topics at a wiki page. Student Grants Program is an existing effort which the POSE team participates in.

Working Groups

Four working groups created (scope, wiki page, coordinator, and a list of people for each).

Citations

• GRASS GIS Google Scholar account updated with more complete records.
• A form was created to collect new and missing records.
• Profile link added to GRASS website Contribute and Citation page.

2nd quarter report

NSF I-Corps program

Corey White, Vaclav Petras, and Anna Petrasova participated in a 4-week long intensive mandatory training that draws on the methods, customer discovery, and curriculum of the NSF Innovation Corps and applies them to open-source projects.

The program included conducting 70+ 30-minute interviews with both GRASS users and non-users to better shape the future path of GRASS GIS and the POSE project. So far, the interviews focused on educators, companies, researchers, influencers and it focused more on non-users than users.

Next steps, include processing the collected qualitative data, developing possible future directions for sustainability of the project, discussing these with the Project Steering Committee, the core team of developers, and the broader community.

Mentoring Program

• 2 new participants supported by email and video calls.

Conference Presentations

• Modeling vegetated stream buffer impacts on water depth and discharge at the watershed scale with GRASS GIS and Jupyter Notebooks by Caitlin Haedrich at AGU, December 2023.
• OpenPlains: A Web-Based Platform to Democratize Geospatial Participatory Modeling on the Cloud by Corey White at AGU, December 2023.

Presentations and Workshops

• Intro to GRASS GIS by Vaclav Petras and Anna Petrasova remotely delivered at Vanderbilt University, February 2024.
• Introduction to GRASS GIS Geospatial Processing by Corey White at SMathHacks hackathon, March 2nd.

Student Grant Program

• Linda Karlovska participates in the Student Grant program with her project Easy command history navigation through the History browser panel. Student Grants Program is an existing effort which the POSE team participates in by mentoring.

Code Security

Vaclav Petras mentors four students who create code security improvements in their NCSU class CSC 472: Cybersecurity Practicum. So far, the students created two PRs which were successfully merged:

• grass.script: Change insecure mktemp to NamedTemporaryFile #3444
• utils: fixed shell vulnerability in mkrest.py #3451

Two other PRs are open and more work is underway to do first steps for new approach to a more secure code.

Localized Basic Datasets

• NCSU and ASU teams worked on localized versions of GRASS basic data set following the North Carolina basic data set example, preparing Flagstaff, Arizona and Nepal draft version with basic layers

Roadmap

Mentoring program (fall 2023 - summer 2025)

Free developer-oriented mentoring program to support researchers and software developers to integrate GRASS GIS into their workflows and contribute to GRASS GIS.

Streamline contributor onboarding (spring 2024 - fall 2024)

Includes updating and creating guidelines for code and non-code contributions.

Streamline user onboarding (spring 2024 - fall 2024)

Includes modernizing tool documentation, developing tutorials.

Creating sample datasets for localized tutorials.

Developing online training materials for big data processing.

Training sessions (fall 2023 - summer 2025)

Local training sessions (at universities and conferences) introducing GRASS GIS to students and researchers.

Training program for big data processing delivered online.

Engaging industry partners (January - August 2024)

Identify and engage industry partners to gather feedback and to start industry partnership program.

Conferences

Presence (talks, workshops, networking) at FOSS4GNA 2023, FOSS4G Asia 2023, AGU 2023, CSDMD 2024, FOSS4G Europe 2024, FOSS4G 2024, AGU 2024

Community sprints

Virtual or in-person participation in OSGeo community sprints, GRASS GIS community sprints

Software distribution (January 2024 - December 2024)

Transition to CMake build system

Develop conda package

Simplify maintenance of GRASS integrations with QGIS and R (2024-2025)

Virtual meetings with QGIS and R developers and GRASS GIS developers (spring 2024).

Identify and implement improvements to the integration.

Improve code quality, security, and quality assurance

Code quality (Flake8, Pylint, Cppcheck), first half of 2024.

Security (CodeQL), second half of 2024.

Quality assurance (better pytest integration), second half of 2024.

In-person developer summit (spring/summer 2025)

Hosted by NC State University, Raleigh, NC, USA.

Identify additional challenges for adoption of GRASS GIS as geoprocessing engine.

Long-term planning beyond the POSE project.

Acknowledgements

The funding is provided by the U.S. National Science Foundation, award 2303651.