UM Geospatial Digital Special Collections

Citation: Miami-Dade County, Florida (2018). Miami-Dade Commercial Property [gis dataset]. Miami-Dade County. https://gis-mdc.opendata.arcgis.com/datasets/MDC::commercial-property/about. last updated: 2024-05-01 (update frequency: As Needed). Abstract: A point feature class of Commercial Business locations within Miami-Dade County Key words: Florida, Miami-Dade County, MDC, Property, Commercial Property, Property Characteristics , Infrastrcture Open Geospatial Consortium Standards: 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_commercial_property_point_view,lat=25.718,lng=-80.279,radius=5280) gdsc_nearest_neighbor(table=mdc_commercial_property_point_view,lat=25.718,lng=-80.279,id=busname1) ETL documentation

ETL for mdc_commercial_property_point_view

######### # 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_commercial_property_point_view/{download,etl} && cd /data/mdc_commercial_property_point_view # 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_commercial_property_point_view download/mdc_commercial_property_point_view.geojson "https://services.arcgis.com/8Pc9XBTAsYuxx9Ny/arcgis/rest/services/CommercialProperty_gdb/FeatureServer/0/query?where=OBJECTID%3E0&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_commercial_property_point_view.geojson # load into postGIS with: ogr2ogr -lco GEOMETRY_NAME=geom -f PostgreSQL PG:"" download/mdc_commercial_property_point_view.geojson -nlt point -nln mdc_commercial_property_point_view ######### # Step 2 - SQL script (pseudo code): #### # remove duplicate points and make geometries valid: UPDATE mdc_commercial_property_point_view SET geom=ST_MakeValid(ST_RemoveRepeatedPoints(geom));" # add local geometry column and reproject existing geometries into local EPSG: SELECT AddGeometryColumn ( 'mdc_commercial_property_point_view', 'geom_local',2236,'point',2 ); UPDATE mdc_commercial_property_point_view SET geom_local=ST_Transform(geom,2236); CREATE INDEX mdc_commercial_property_point_view_geom_local_idx ON mdc_commercial_property_point_view USING GIST (geom_local); NOTIFY pgrst, 'reload schema';"