coordinate precision for IOC stations

[carolakaiser]

I have checked out the latest searvey repository (tag v0.2.1) - it works great, thank you!
For the IOC stations, the coordinates are given with a lower precision (2 or 3 decimal places) but sometimes the stations have better coordinates in the details page of the IOC website.
Would it be possible to get high precision coordinates for IOC? I understand that this would require additional requests, so maybe as a code option?

[pmav99]

It should be possible to do this using the same API method that was mentioned here: #47 (comment)

{
  "Code": "alac2",
  "Location": "Alicante2",
  "country": "ESP",
  "type": "SW",
  "DCP_ID": null,
  "WMO": null,
  "XMtInt": 10,
  "Lat": 38.3388889,
  "Lon": -0.4813889,
  "Har": null,
  "GlossID": null,
  "OT12Code": null,
  "Example": null,
  "UTCOffset": 0,
  "OperatorID": null,
  "status": 1,
  "status_description": null,
  "localoperator": 159,
  "performanceoperator1": null,
  "performanceoperator2": null,
  "performanceoperator3": null,
  "date_created": "2019-12-07 10:20:22.277",
  "url": null,
  "code": "alac2",
  "sensorid": 2551,
  "statday": "2023-01-20 06:15:00",
  "observations": 124,
  "first": "2023-01-19 09:30:00",
  "last": "2023-01-20 06:10:00",
  "updatedata": 8,
  "timestampdata": 7,
  "timestampupdate": 0,
  "sensor": "rad",
  "rate": 10,
  "samples": 1,
  "units": "M",
  "i": null,
  "offset": null,
  "timeorder": 1,
  "lasttime": "2023-01-21 22:30:00.000",
  "lastupdate": "2023-01-21 22:39:34.000",
  "lastvalue": 2.126,
  "connect": "SW",
  "lat": 38.339,
  "lon": -0.481,
  "countryname": "Spain"
}

[pmav99]

Might be resolved by #100

[pmav99]

#100 has been superseded by #125, but in that one we didn't touch the metadata at all. So this is still an issue.

Something like this seems to be sufficient, though:

def get_meta() -> gpd.GeoDataFrame:
    meta_web = searvey.get_ioc_stations().drop(columns=["lon", "lat"])
    meta_api = (
        pd.read_json("http://www.ioc-sealevelmonitoring.org/service.php?query=stationlist&showall=all")
        .drop_duplicates()
        .drop(columns=["lon", "lat"])
        .rename(columns={"Code": "ioc_code", "Lon": "lon", "Lat": "lat"})
    )
    merged = pd.merge(
        meta_web,
        meta_api[["ioc_code", "lon", "lat"]].drop_duplicates(),
        on=["ioc_code"],
    )
    updated = merged.assign(geometry=gpd.points_from_xy(merged.lon, merged.lat, crs="EPSG:4326"))
    return updated