Comments (9)
thats a good point. The shape data come directly from census, but the table that osnap refers to as cbsa
is the county crosswalk, probably from here
from geosnap.
rather than storing the CBSA crosswalk, it might be better to just read it directly when necessary (like we do with the inflation table)
the benefits would be
- the documentation is implicit since the URL defines the original source (though we'd want to document explicitly as well)
- we could provide methods for users to call MSAs as defined in other years
from geosnap.
And an older source for 2003 cbsa definitions
from geosnap.
workflow:
- store "appropriate version in
osnap
repo - when user calls a dataset, osnap checks the canonical dataset by downloading from the URL
osnap
checks to see whether stored version matches canonical version- if versions don't match, raise a warning, etc.
from geosnap.
if we're checking the dataset integrity with each use, is there any real use in caching it?
from geosnap.
https://github.com/quiltdata/open-data-registry
from geosnap.
we should use this source. It might be best to always grab from the web like we do for the inflation adjustment table, though this would be used more and more prone to failure if the census api goes down. That would also mean you always need an internet connection to make MSA queries
from geosnap.
should be resolved by #215 but give it a look
from geosnap.
https://spatialucr.github.io/geosnap/data.html
from geosnap.
Related Issues (20)
- standardize conventions and arguments
- remove Community interface
- update infrastructure HOT 2
- acs processing gha recipe HOT 1
- version not found when building docs HOT 3
- User guide link is broken on user docs HOT 2
- AttributeError: 'Series' object has no attribute 'iteritems' HOT 2
- Google Colab install geosnap error #184 HOT 4
- Functions not available HOT 5
- reimplement isochrones for pandana>=0.7
- default basemap for plots HOT 1
- Not quite geoparquet? HOT 2
- bea api
- incorrect filename for seda 'poolsub'
- harmonize to target_gdf fails
- rm stamen basemaps
- Depending on abandoned scikitplot HOT 1
- coverage reported incorrectly
- test on apple silicon HOT 1
- seda v5
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