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Add osm-flex to CLIMADA core#981

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luseverin merged 15 commits intodevelopfrom
feature/climada_osmflex
Jan 14, 2025
Merged

Add osm-flex to CLIMADA core#981
luseverin merged 15 commits intodevelopfrom
feature/climada_osmflex

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@luseverin luseverin commented Dec 2, 2024

Changes proposed in this PR:

  • Add osm-flex to the requirements
  • Add section in exposure_polygons_lines tutorial to show how to obtain exposure data from OpenStreetMap using osm-flex

Comments:
Adding the osm-flex package to the dependencies does not seem to create any conflicts. I then modified the tutorial Exposures_polygons_lines (https://climada-python.readthedocs.io/en/stable/tutorial/climada_entity_Exposures_polygons_lines.html) to briefly show how to use osm-flex to retrieve data. This is the main part of the review.

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@luseverin luseverin requested review from Evelyn-M and chahank December 2, 2024 10:58
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chahank commented Dec 2, 2024

Nice! I see that the Unit test are currently failing. The error message is however empty, so maybe this is related to this PR, or maybe not. It would be good to check to be sure.

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Excellent addition!

I would however separate the OSM examples into a separate tutorial that would also be directly visible as sub-element of the Exposures tutorials. I think this would be cleaner. Otherwise, it is quite hard to find.

I would then also add a final example of an impact calculation with the obtained OSM features. The extraction of points, lines and polygons is already documented in the OSMflex documentation, so we do not have to duplicate it too much. But how to make an exposure out of the elements and then the impact is useful.

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Thanks for the feedback! I put the retrieval of exposure data from OSM + a simple impact calculation in a separate tutorial and added a small mention to this new tuto at the begininng of the polygons_lines tutorial.

Regarding the failing tests, something weird was happening (tests were getting cancelled for no apparent reason), but it looks all good now.

@luseverin luseverin requested a review from chahank December 3, 2024 11:02
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chahank commented Dec 3, 2024

At the moment the tutorial has 53,393 changes (!). Please reduce this to only the relevant information. At the moment it is not even possible to make comments on the tutorial due to the large number of changes ;)

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chahank commented Dec 3, 2024

I would have some comments on the phrasing. I think the beginning is a bit unclear for new users.

Also, I would make sure that the impact computation at the shows some impact. At the moment it looks like there is 0 impact.

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chahank commented Dec 3, 2024

I also do not really understand the example the impact example. The goal is not to copy the lines polygon tutorial, but to have an example of using OSM data. Ideally, this is the first thing on top of the tutorial.

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Basically, what I have put in the tutorial is:

  1. Examples of loading OSM data using osm-flex: roads as lines and forests as polygons for the netherlands
  2. Setting up of the road and forest OSM exposure data as CLIMADA exposure object
  3. Example of calculation of the impact on the roads and forests using winter storms as hazard

Would you suggest I put more emphasis on 3.? But in the end we still need to load the data from OSM at some point (but I could try to make this part shorter e.g. remove the plots). Let me know!

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chahank commented Dec 3, 2024

Yes, I would just make a very quick example to show that it can be used for impact computations (exposure comes from OSM, one needs to assign values), and then the details for the the roads and the forests.

Maybe also include a link to the OSM tags (all the things that can be downloaded). Maybe also add a note that if things don't work with OSMflex one should first look in the documentation there.

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chahank commented Dec 6, 2024

Do you need help to sanitize the files? (there should not be 53000 new lines for this PR)

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No I do not need help for that, I was just thinking of how to reorganize the tuto. Now I added a quick example at the start, is that good enough? Should I still add more detailed examples in the next sections e.g. using other osm layers or assigning values using LitPop?

PS: I now also need to fix this weird error in the u_lp.plot_eai_exp_geom(impact); : ValueError: Length of values (861875) does not match length of index (861881)

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chahank commented Dec 9, 2024

Super nice! I would suggest the following fine-tuning:

1- correct some of the typos (e.g., Honduras -> Netherlands)
2- Make in the first example clear what the implicit value is. Now you decided to put the value 1e5 per 500m of lines.
3- Avoid using capitalized variables unless they are meant to be global constants (which e.g., IMPF_LINE are not. There are more in the tutorial.)
4- At the end, explain well how to go from OSM inputs to an exposure with values
5- Add an example of OSM with points
6- Speak of osm-flex as a python package, not a module
7- Remove unecessary code (e.g., in the all of import osm_flex.download import osm_flex.extract import osm_flex.clip import osm_flex.simplify are not needed in the first cell. There are more in the tutorial I think.)
8- I think the whole section How to compute impacts using polygons or lines as exposure in CLIMADA can be removed. Instead, clearly link to the tutorial on that. I think the goal of this tutorial is to show how to make an exposures from OSM-flex. So, it is not about reproducing the OSM-flex tutorials, not to reproduce the lines-polygons tutorial for impacts, but how to make exposures from OSM with OSM-flex in CLIMADA.
9- Maybe show an example with clip and simplify?
10- Do you need the import logging from climada.util.config import LOGGER LOGGER.setLevel(logging.ERROR)?

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luseverin commented Jan 13, 2025

Hey!
@chahank thanks for the feedback. A bit late, but I have incorporated your suggested changes. Here are more details:

1 - correct some of the typos (e.g., Honduras -> Netherlands)

I use Honduras now because I wanted to have an example showcasing higher damages, using TC Mitch. But in the end, the damages are not quite visible on the map. Any suggestions of a better example are welcomed.

2- Make in the first example clear what the implicit value is. Now you decided to put the value 1e5 per 500m of lines.
3- Avoid using capitalized variables unless they are meant to be global constants (which e.g., IMPF_LINE are not. There are more in the tutorial.)
4- At the end, explain well how to go from OSM inputs to an exposure with values

I added a small section on that.

5- Add an example of OSM with points
6- Speak of osm-flex as a python package, not a module
7- Remove unecessary code (e.g., in the all of import osm_flex.download import osm_flex.extract import osm_flex.clip import osm_flex.simplify are not needed in the first cell. There are more in the tutorial I think.)

Actually, I at least need to do import osm_flex.download if I want to use e.g. osm_flex.download.get_country_geofabrik as apparently those are not automatically imported with the import osm_flex.

8- I think the whole section How to compute impacts using polygons or lines as exposure in CLIMADA can be removed. Instead, clearly link to the tutorial on that. I think the goal of this tutorial is to show how to make an exposures from OSM-flex. So, it is not about reproducing the OSM-flex tutorials, not to reproduce the lines-polygons tutorial for impacts, but how to make exposures from OSM with OSM-flex in CLIMADA.

I fully agree! I removed all the redundant impact calculation part. Sorry if I had misunderstood your intentions.

9- Maybe show an example with clip and simplify?

I added a short example of simplify, but clip requires some additional dependencies to be installed (see https://osm-flex.readthedocs.io/en/latest/1_clipping_shapes.html), as those are apparently not already available within the CLIMADA environment. How do you want to proceed with this?

10- Do you need the import logging from climada.util.config import LOGGER LOGGER.setLevel(logging.ERROR)?

Yes because some of the garbage outputs I was obtaining in the notebook was actually coming from the LOGGER and not the pyhon warnings.

Let me know if there is something else missing!

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luseverin commented Jan 14, 2025

PS: I now also need to fix this weird error in the u_lp.plot_eai_exp_geom(impact); : ValueError: Length of values (861875) does not match length of index (861881)

By the way, I have raised an issue about this, see #992

Now I also see that the build of the ReadTheDocs fails, reading (see https://readthedocs.org/projects/climada-python/builds/26833144/):

Error
The sphinx.configuration key is missing. This key is now required, see our blog post for more information.

@chahank do you know anything about this? Should I also raise an issue regarding this or is there something wrong on my branch?

PS: Nevermind, apparently the ReadTheDocs issue has been taken care of by Emanuel already and it works now :)

"source": [
"## Quick example\n",
"Here we provide a quick example of an impact calculation with CLIMADA and OSM data.\n",
"We use in this example main roads in Honduras as exposures, and winter storms\n",
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Suggested change
"We use in this example main roads in Honduras as exposures, and winter storms\n",
"We use in this example main roads in Honduras as exposures, and tropical cyclone Mitch\n",

Comment on lines +26 to +27
"compute the damages, and reaggregate the exposures to their original shape using the \n",
"function `calc_geom_impact` from the util module `lines_polys_handler`."
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Make links to the module tutorial lines polygons?

"name": "stderr",
"output_type": "stream",
"text": [
"/Users/lseverino/miniforge3/envs/climada_osm/lib/python3.9/site-packages/dask/dataframe/_pyarrow_compat.py:15: FutureWarning: Minimal version of pyarrow will soon be increased to 14.0.1. You are using 12.0.1. Please consider upgrading.\n",
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I think you do not want your users path configuration in the docs.

Comment on lines +50 to +61
"from climada import CONFIG\n",
"\n",
"osm_flex.enable_logs()\n",
"\n",
"import warnings\n",
"\n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"import logging\n",
"from climada.util.config import LOGGER\n",
"\n",
"LOGGER.setLevel(logging.ERROR)"
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Add a comment in the code to explain that this is not needed and just used here for the nice visualization of the tutorials. People should in general not silence warnings unless they mean to.

" Centroids,\n",
" TropCyclone,\n",
" TCTracks,\n",
") # from climada.entity.impact_funcs.storm_europe import ImpfStormEurope\n",
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Not needed.

"from climada.entity import Exposures\n",
"\n",
"\n",
"# haz = Client().get_hazard(\"storm_europe\", name=\"test_haz_WS_nl\", status=\"test_dataset\")\n",
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Clean up

"# construct centroids\n",
"cent_bounds = gdf_roads.geometry.total_bounds\n",
"cent = Centroids.from_pnt_bounds(cent_bounds, res=0.12)\n",
"cent.plot()\n",
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Why plot the centroids?

}
],
"source": [
"# from climada.util.api_client import Client\n",
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I am generally a bit confused here. The idea is to make a quick example. But now you import tracks, compute cyclone winds, plot centroids etc... This is now very long. Why not just use and example with the API? The goal is to have ideally in one page an example of the use of osm in climada.

Comment on lines +211 to +301
"outputs": [
{
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I think the default example should not be the pre-defined infrastructures, but the free osm keys. The infrastructure case is a special case, and the osm keys is the normal case.

@chahank
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chahank commented Jan 14, 2025

Hey! @chahank thanks for the feedback. A bit late, but I have incorporated your suggested changes. Here are more details:

Awesome!

1 - correct some of the typos (e.g., Honduras -> Netherlands)

There are a few left. I noted those I saw as comments.

I use Honduras now because I wanted to have an example showcasing higher damages, using TC Mitch. But in the end, the damages are not quite visible on the map. Any suggestions of a better example are welcomed.

I am not sure this is ideal as you say. You can look into the paper https://iopscience.iop.org/article/10.1088/2515-7620/ad15ab and take any of the examples. Eg. railways and storm lothar in switzerland.

2- Make in the first example clear what the implicit value is. Now you decided to put the value 1e5 per 500m of lines.
3- Avoid using capitalized variables unless they are meant to be global constants (which e.g., IMPF_LINE are not. There are more in the tutorial.)
4- At the end, explain well how to go from OSM inputs to an exposure with values

I added a small section on that.

5- Add an example of OSM with points
6- Speak of osm-flex as a python package, not a module
7- Remove unecessary code (e.g., in the all of import osm_flex.download import osm_flex.extract import osm_flex.clip import osm_flex.simplify are not needed in the first cell. There are more in the tutorial I think.)

Actually, I at least need to do import osm_flex.download if I want to use e.g. osm_flex.download.get_country_geofabrik as apparently those are not automatically imported with the import osm_flex.

Ok, the important is to not import things you don't need in the tutorial. Otherwise it might be confusing to the reader why this is there.

8- I think the whole section How to compute impacts using polygons or lines as exposure in CLIMADA can be removed. Instead, clearly link to the tutorial on that. I think the goal of this tutorial is to show how to make an exposures from OSM-flex. So, it is not about reproducing the OSM-flex tutorials, not to reproduce the lines-polygons tutorial for impacts, but how to make exposures from OSM with OSM-flex in CLIMADA.

I fully agree! I removed all the redundant impact calculation part. Sorry if I had misunderstood your intentions.

9- Maybe show an example with clip and simplify?

I added a short example of simplify, but clip requires some additional dependencies to be installed (see https://osm-flex.readthedocs.io/en/latest/1_clipping_shapes.html), as those are apparently not already available within the CLIMADA environment. How do you want to proceed with this?

Makes sense! One can just mention clip as an option.

10- Do you need the import logging from climada.util.config import LOGGER LOGGER.setLevel(logging.ERROR)?

Yes because some of the garbage outputs I was obtaining in the notebook was actually coming from the LOGGER and not the pyhon warnings.

Ok, makes sense too. Just add a comment that this is not what users should copy. One way to do that is to have all the logging in a separate cell which you can recommend to not copy.

Let me know if there is something else missing!

@luseverin
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Ok so I have included your comments in the last revision. Everything should be in order now. Let me know if you think this is the case.

@chahank
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chahank commented Jan 14, 2025

Great, thanks a lot. I think this looks good now 👍

@luseverin luseverin merged commit 493deb0 into develop Jan 14, 2025
@luseverin luseverin deleted the feature/climada_osmflex branch January 15, 2025 09:03
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2 participants