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BIEN geovalidation notes
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========================
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***** obtain source code:
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svn co https://code.nceas.ucsb.edu/code/projects/bien/derived/biengeo/
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additional, in-progress files are at
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sftp://vegbiendev.nceas.ucsb.edu/home/psarando/src/bien/derived/biengeo/
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***** install dependencies:
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The only dependencies for running these scripts are PostgreSQL 9.1, postgis 2.0,
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and unzip.
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Installing these packages on Ubuntu 13.04 should be as simple as these commands:
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sudo apt-get install postgresql
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sudo apt-get install postgresql-client
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sudo apt-get install postgresql-client-common
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sudo apt-get install postgis
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sudo apt-get install postgresql-9.1-postgis-2.0
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sudo apt-get install unzip
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***** initialize the DB:
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cd <svn_biengeo_root>
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1. geovalidate.sh
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- creates postgis DB and loads GADM2 data
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2. geonames.sh
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- loads geonames.org data and adds some custom mapping logic
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3. geonames-to-gadm.sql
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- contains SQL statements that build linkages between geonames.org
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names and GADM2 names
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***** geoscrub new data:
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WARNING: deletes any previous geoscrubbing results!
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cd <svn_biengeo_root>
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4. load-geoscrub-input.sh
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- dumps geoscrub_input from vegbien and loads it into the geoscrub db
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5. geonames.sql
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- contains SQL statements that scrub asserted names and (to the
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extent possible) map them to GADM2
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6. geovalidate.sql
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- contains (postgis-extended) SQL statements that score the validity
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of GADM2-scrubbed names against given point coordinates
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[Also see comments embedded in specific scripts in this directory.]
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The bash and SQL statements contained in the files as ordered below
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should be applied to carry out geographic name scrubbing and
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geovalidation on a given corpus of BIEN location records.
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That said, given the tight deadline under which this was done in order
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to produced a geovalidated BIEN3 corpus in advance of the Nov 2013
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working group meeting, and the corresponding manner in which much of
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this was actually executed piecemeal in an iterative and interactive
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fashion within a bash shell and psql session, I can't guarantee that the
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code in its current state could be run end-to-end without intervention.
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It's close, but probably not bulletproof.
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The resulting 'geoscrub' table is what contains the scrubbed (i.e.,
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GADM2-matched) names and various geovalidation scores.
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Notes/Caveats/Todos:
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* Clearly the SQL statements used in this procedure suffer from a lot of
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redundancy, and it might be worth trying to refactor once we're happy
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with the particular approach taken.
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* Need to pull out more known notes/caveats/todos and highlight them :)
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