UM Geospatial Digital Special Collections

Citation: Miami-Dade County (2017). Miami-Dade Building Footprints [gis dataset]. University of Miami GDSC. https://gis-mdc.opendata.arcgis.com/datasets/MDC::building-footprint-2d/about. last updated: 2024-10-28 (update frequency: As Needed). Abstract: This feature class has been updated to illustrate the buildings planimetric in 2018 within the Urban Development Boundary (UDB) and outside the UDB, approximately 969 square miles. Key words: Miami-Dade County, Building, Building Footprint Open Geospatial Consortium Standards: dynamic vector tiles | | WMS (coming soon) | WFS (coming soon) Analytical Functions: gdsc_get_attributes(tablename=mdc_building_footprints,lat=25.718,lng=-80.279,identifier=objectid,attrs=[objectid,uniqueid: Unique identifier for building,source,yearupdate,type,height,shape_area,shape_length],normal='') ETL documentation

ETL for mdc_building_footprints

######### # 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_building_footprints/{download,etl} && cd /data/mdc_building_footprints # 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_building_footprints download/mdc_building_footprints.geojson "https://services.arcgis.com/8Pc9XBTAsYuxx9Ny/arcgis/rest/services/BuildingFootprint2D_gdb/FeatureServer/0/query?outFields=*&where=1%3D1&outSR=4326&f=geojson" # 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_building_footprints.geojson # load into postGIS with: ogr2ogr -lco GEOMETRY_NAME=geom -f PostgreSQL PG:"" download/mdc_building_footprints.geojson -nlt multipolygon -nln mdc_building_footprints ######### # Step 2 - SQL script (pseudo code): #### # remove duplicate points and make geometries valid: UPDATE mdc_building_footprints SET geom=ST_MakeValid(ST_RemoveRepeatedPoints(geom));" # add local geometry column and reproject existing geometries into local EPSG: SELECT AddGeometryColumn ( 'mdc_building_footprints', 'geom_local',2236,'multipolygon',2 ); UPDATE mdc_building_footprints SET geom_local=ST_MakeValid(ST_RemoveRepeatedPoints(ST_Transform(ST_Multi(geom),2236))); CREATE INDEX mdc_building_footprints_geom_local_idx ON mdc_building_footprints USING GIST (geom_local); NOTIFY pgrst, 'reload schema';"