University of Miami GDSC (2018). Miami-Dade Community Health Centers [gis dataset]. Miami-Dade County. https://gis-mdc.opendata.arcgis.com/datasets/MDC::commercial-property/about. last updated: 2026-02-03 (update frequency: 1 week). A point feature class of community health centers in Miami-Dade County. Derived as a subset of all commercial properties within Miami-Dade County with the "DOR Desc" of "CHARITABLE - EXEMPT: HEALTH CARE" Key words: Florida, Miami-Dade County, MDC, Property, Commercial Property, Property Characteristics , 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_count_within(table=mdc_community_health_centers,lat=25.718,lng=-80.279,radius=5280) gdsc_nearest_neighbor(table=mdc_community_health_centers,lat=25.718,lng=-80.279,id=true_owner1) ETL documentation

ETL for mdc_community_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_community_health_centers/{download,etl} && cd /data/mdc_community_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 ogr2ogr -nln mdc_community_health_centers download/mdc_community_health_centers.geojson 'https://services.arcgis.com/8Pc9XBTAsYuxx9Ny/arcgis/rest/services/PaGISView_gdb/FeatureServer/0/query?where=DOR_DESC=%27CHARITABLE%20-%20EXEMPT%20:%20HEALTH%20CARE%27&outFields=*&outSR=4326&f=json&orderBy=ObjectId' # 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_community_health_centers.geojson # load into postGIS with: ogr2ogr -lco GEOMETRY_NAME=geom -f PostgreSQL PG:"" download/mdc_community_health_centers.geojson -nlt point -nln mdc_community_health_centers ######### # Step 2 - SQL script (pseudo code): #### # remove duplicate points and make geometries valid: UPDATE mdc_community_health_centers SET geom=ST_MakeValid(ST_RemoveRepeatedPoints(geom)); # add local geometry column and reproject existing geometries into local EPSG: SELECT AddGeometryColumn ( 'mdc_community_health_centers', 'geom_local', 2236, 'point', 2 ); UPDATE mdc_community_health_centers SET geom_local=ST_MakeValid(ST_RemoveRepeatedPoints(ST_Transform(geom,2236))); CREATE INDEX mdc_community_health_centers_geom_local_idx ON mdc_community_health_centers USING GIST (geom_local); NOTIFY pgrst, 'reload schema'; # Move into corrrect directory and create derivative directory in data package on osgeo cd /data/mdc_community_health_centers/ mkdir -p derived # Move into correct directory cd /data/mdc_community_health_centers/ # Create pg_dump of table SQL in derivate directory on postgis. pg_dump -h gdsc-postgis-node-ftoeui5lf6davjh0 -t mdc_community_health_centers > derived/mdc_community_health_centers.sql # Create downloadable tarfile of SQL in derivative directory on postgis rm -f derived/mdc_community_health_centers.sql.tar.gz tar -czf derived/mdc_community_health_centers.sql.tar.gz meta_dcat_mdc_community_health_centers.json -C derived mdc_community_health_centers.sql