[GRASS-PSC] [Motion] Approve Caitlin's student grant final report and issue the second payment

Tue Apr 19 18:09:37 PDT 2022

+1
Anna

On Tue, Apr 19, 2022 at 6:42 PM Michael Barton <Michael.Barton at asu.edu>
wrote:

> +1 Michael
> _____________________________
>
> C. Michael Barton
> Associate Director, School of Complex Adaptive Systems (
> https://scas.asu.edu)
> Professor, School of Human Evolution & Social Change (
> https://shesc.asu.edu)
> Director, Center for Social Dynamics & Complexity (
> https://complexity.asu.edu)
> Arizona State University
> Tempe, AZ 85287-2701
> USA
>
> Executive Director, Open Modeling Foundation (
> https://openmodelingfoundation.github.io)
> Director, Network for Computational Modeling in Social & Ecological
> Sciences (https://comses.net)
>
> personal website: http://www.public.asu.edu/~cmbarton
>
>
> On Apr 19, 2022, at 3:20 PM, Helena Mitasova via grass-psc <
> grass-psc at lists.osgeo.org> wrote:
>
> +1 Helena
> Helena Mitasova
> Professor, Department of Marine, Earth and Atmospheric Sciences
> Faculty Fellow, Center for Geospatial Analytics
> North Carolina State University
> Raleigh, NC 27695-8208
>
>
> On Tue, Apr 19, 2022 at 5:25 PM Vaclav Petras <wenzeslaus at gmail.com>
> wrote:
>
>> +1, Vaclav
>>
>> On Tue, 19 Apr 2022 at 17:17, Veronica Andreo <veroandreo at gmail.com>
>> wrote:
>>
>>> Dear PSC,
>>>
>>> Caitlin has just completed her project for the student grant and
>>> submitted the final report (I FWD it here in case you missed it).
>>>
>>> I hereby propose to approve her final report and issue the second half
>>> of the payment. Big thanks to Caitlin and her mentors for your work and
>>> commitment! Thanks as well to those testing and providing feedback along
>>> the process! Great work Caitlin!! Congratulations!
>>>
>>> I start with my +1 !!
>>>
>>> Vero
>>>
>>> ---------- Forwarded message ---------
>>> De: Caitlin Haedrich <caitlin.haedrich at gmail.com>
>>> Date: lun., 18 abr. 2022 19:25
>>> Subject: [GRASS-dev] grass.jupyter Mini Project Final Report
>>> To: <grass-dev at lists.osgeo.org>, <grass-user at lists.osgeo.org>
>>>
>>>
>>> Hi all,
>>>
>>> Last week, we wrapped a final push on grass.jupyter and are excited for
>>> its official release with GRASS 8.2. Here's my final report along with a
>>> summary of grass.jupyter changes introduced as part of the project. Thank
>>> you all for your support, feedback and testing over the past few months!
>>>
>>> *The state of the art BEFORE the start of the Mini Project:*
>>> During GSoC 2021, we created “grass.jupyter”, a package that improves
>>> the integration of GRASS GIS and Jupyter with a set of functions for
>>> displaying GRASS data in Jupyter Notebooks. In its previous state,
>>> “grass.jupyter” allows users to create static visuals and simple
>>> interactive maps. However, several additional features are needed to allow
>>> Jupyter users to fully and easily access the power GRASS, including
>>> space-time dataset visualization and more options for interactive mapping.
>>>
>>> *Project Goals*:
>>> In preparation for the stable release of grass.jupyter with GRASS 8.2,
>>> this project had three main goals: (1) create space time dataset
>>> visualizations for use in Jupyter Notebooks, (2) improve the integration of
>>> GRASS with folium (leaflet library for Python) and (3) write a function for
>>> displaying vector attributes in nicely-formatted tables (using Pandas or
>>> Geopandas). Along the way, we also wanted to finalize the naming of
>>> grass.jupyter classes and create documentation (thank you Vaclav Petras).
>>>
>>> *The state of the art AFTER the Mini Project:*
>>> 1. New TimeSeriesMap class that creates ipywidget time sliders of space
>>> time datasets (see attached timeseriesmap.png) and a notebook documenting
>>> it's usage [1]
>>> 2. Improved GRASS-folium integration allowing rasters and vectors to be
>>> added to existing folium maps (see attached grass-folium.png) and updated
>>> notebook demonstrating its usage [2]
>>> 3. Updated class names:
>>>
>>>    - GrassRenderer -> Map
>>>    - Grass3dRenderer -> Map3D
>>>    - InteractiveMap
>>>    - TimeSeries -> TimeSeriesMap
>>>
>>> 4. Thanks to Vaclav Petras, we also have a manual page for grass.jupyter
>>> [3]
>>> 5. I didn't end up working to integrate GRASS and Pandas. It seems that
>>> it is quite straightforward to display vector attributes in
>>> nicely-formatted Pandas tables. For example:
>>>
>>> >>> import pandas as pd
>>>
>>> >>> import sqlite3
>>> >>> sql_path = gs.read_command("db.databases",
>>> driver="sqlite").replace('\n', '')
>>> >>> con = sqlite3.connect(sql_path)
>>> >>> sql_stat="SELECT * FROM field"
>>> >>> df = pd.read_sql_query(sql_stat, con)
>>>
>>> >>> con.close()
>>> >>> df
>>>
>>> There are other outputs that would be nice to display in nice Pandas
>>> tables, like text output from r.univar, r.stats, or t.vect.list. However,
>>> this is difficult since there is no standard output that is easily
>>> parse-able to pandas. I think the best way would be to create a standard
>>> json or csv output for all modules that return text. Then, it would be
>>> simple to take any module output and convert to a nice-looking Pandas table.
>>>
>>> *Next Steps:*
>>> 1. Bug: InteractiveMap does not honor use_region=True for vectors.
>>> 2. Bug: InteractiveMap for Jupyter does not handle not existing data
>>> properly (https://github.com/OSGeo/grass/issues/2302
>>> <https://urldefense.com/v3/__https://github.com/OSGeo/grass/issues/2302__;!!IKRxdwAv5BmarQ!O6p_95e3SKYK5mKOIkmws-FQ3JJ3WRTZefvkke9v6p7LEJ21bU3fwxtja0adUtsw5WY$>
>>> )
>>> 3. InteractiveMap: add legend options for rasters, support simpleCRS for
>>> faster rendering, ToolTip integration for vector attributes
>>> 4. Continue Pandas integration by adding standard json or csv output to
>>> modules that return text
>>> 5. ... And many others! I think there's still lots of ways we can
>>> improve and expand the integration of GRASS and Jupyter. Ideas welcome.
>>>
>>> You can find an archive of all my weekly reports at [4] and follow next
>>> steps for grass.jupyter on our project page on GitHub [5]. Thank you again
>>> to Vaclav Petras and Anna Petrasova for their guidance and contributions to
>>> grass.jupyter. And, another thank you to Vero Andreo, Stefan Blumentrath
>>> and Markus Neteler for their feedback and testing!
>>>
>>> Best,
>>> Caitlin
>>>
>>> [1]
>>> https://mybinder.org/v2/gh/OSGeo/grass/main?urlpath=lab%2Ftree%2Fdoc%2Fnotebooks%2Ftemporal.ipynb
>>> <https://urldefense.com/v3/__https://mybinder.org/v2/gh/OSGeo/grass/main?urlpath=lab*2Ftree*2Fdoc*2Fnotebooks*2Ftemporal.ipynb__;JSUlJQ!!IKRxdwAv5BmarQ!O6p_95e3SKYK5mKOIkmws-FQ3JJ3WRTZefvkke9v6p7LEJ21bU3fwxtja0adprRiMPc$>
>>> [2]
>>> https://mybinder.org/v2/gh/OSGeo/grass/main?urlpath=lab%2Ftree%2Fdoc%2Fnotebooks%2Fgrass_jupyter.ipynb
>>> <https://urldefense.com/v3/__https://mybinder.org/v2/gh/OSGeo/grass/main?urlpath=lab*2Ftree*2Fdoc*2Fnotebooks*2Fgrass_jupyter.ipynb__;JSUlJQ!!IKRxdwAv5BmarQ!O6p_95e3SKYK5mKOIkmws-FQ3JJ3WRTZefvkke9v6p7LEJ21bU3fwxtja0adRk6yl2Q$>
>>> [3] https://grass.osgeo.org/grass81/manuals/libpython/grass.jupyter.html
>>> <https://urldefense.com/v3/__https://grass.osgeo.org/grass81/manuals/libpython/grass.jupyter.html__;!!IKRxdwAv5BmarQ!O6p_95e3SKYK5mKOIkmws-FQ3JJ3WRTZefvkke9v6p7LEJ21bU3fwxtja0adpmpuH4w$>
>>> [4]
>>> https://trac.osgeo.org/grass/wiki/GSoC/2021/JupyterAndGRASS/MiniGrant2022
>>> <https://urldefense.com/v3/__https://trac.osgeo.org/grass/wiki/GSoC/2021/JupyterAndGRASS/MiniGrant2022__;!!IKRxdwAv5BmarQ!O6p_95e3SKYK5mKOIkmws-FQ3JJ3WRTZefvkke9v6p7LEJ21bU3fwxtja0ad6AgVJHI$>
>>> [5] https://github.com/OSGeo/grass/projects/7
>>> <https://urldefense.com/v3/__https://github.com/OSGeo/grass/projects/7__;!!IKRxdwAv5BmarQ!O6p_95e3SKYK5mKOIkmws-FQ3JJ3WRTZefvkke9v6p7LEJ21bU3fwxtja0ad5RqNnz4$>
>>> _______________________________________________
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>>>
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