UM Geospatial Digital Special Collections

Citation: Miami-Dade County, Florida (2018). Miami-Dade Federally Qualified Health Centers [gis dataset]. Miami-Dade County. https://gis-mdc.opendata.arcgis.com/datasets/MDC::federally-qualified-health-center/about. last updated: 2024-10-28 (update frequency: As Needed). Abstract: A point feature class of Federally Qualified Health Centers within Miami-Dade County. Key words: Florida, Miami-Dade County, MDC, Health, Emergency, Federally Qualified Health Center, Wellness, Medical, Public-Safety, Infrastructure Open Geospatial Consortium Standards: dynamic vector tiles | | WMS (coming soon) | WFS (coming soon) ESRI Standards: ArcGIS MapServer | ArcGIS FeatureServer | Open in ArcGIS Portal for GDSC Analytical Functions: gdsc_nearest_neighbor(table=mdc_federally_qualified_health_centers,lat=25.718,lng=-80.279,id=name) ETL documentation

ETL for mdc_federally_qualified_health_centers

######### # GDSC ETL is performed in two steps: shell script to ETL data into postgres # and then additional transformations with SQL in postGIS (if needed). #### ######### # Step 1 - bash script (pseudo code) #### # create directory structure and move into it mkdir -p /data/mdc_federally_qualified_health_centers/{download,etl} && cd /data/mdc_federally_qualified_health_centers # set update flag based on last update and update frequency do_update=0 if date() < last_update + update_frequency else do_update = 1 # download if update flag is set: if do_update == 1 then wget -O download/mdc_federally_qualified_health_centers.json 'https://services.arcgis.com/8Pc9XBTAsYuxx9Ny/arcgis/rest/services/FederallyQualifiedHealthCenter_gdb/FeatureServer/0/query?where=1%3D1&outFields=*&outSR=4326&f=json' # replace column names Shape__Length and Shape__Area to avoid conflict when # providing as service on ArcServer. sed -i 's/Shape__Length/shape_length/gI; s/Shape__Area/shape_area/gI' download/mdc_federally_qualified_health_centers.json # load into postGIS with: ogr2ogr -lco GEOMETRY_NAME=geom -f PostgreSQL PG:"" download/mdc_federally_qualified_health_centers.json -nlt point -nln mdc_federally_qualified_health_centers ######### # Step 2 - SQL script (pseudo code): #### # remove duplicate points and make geometries valid: UPDATE mdc_federally_qualified_health_centers SET geom=ST_MakeValid(ST_RemoveRepeatedPoints(geom));" # add local geometry column and reproject existing geometries into local EPSG: SELECT AddGeometryColumn ( 'mdc_federally_qualified_health_centers', 'geom_local',2236,'point',2 ); UPDATE mdc_federally_qualified_health_centers SET geom_local=ST_MakeValid(ST_RemoveRepeatedPoints(ST_Transform(geom,2236))); CREATE INDEX mdc_federally_qualified_health_centers_geom_local_idx ON mdc_federally_qualified_health_centers USING GIST (geom_local); NOTIFY pgrst, 'reload schema';"cd /data/mdc_federally_qualified_health_centers/ mkdir -p derived # Create pg_dump and downloadable zip of table in derivate directory pg_dump -d $POSTGRES_DB -U $POSTGRES_USER -p $POSTGRES_PORT -h postgis-g3xzzo1bpq3y6wis -t mdc_federally_qualified_health_centers > derived/mdc_federally_qualified_health_centers.sql tar -czf derived/mdc_federally_qualified_health_centers.sql.tar.gz meta_dcat_mdc_federally_qualified_health_centers.json -C derived mdc_federally_qualified_health_centers.sql