UM Geospatial Digital Special Collections

Citation: Miami Dade County (2022). Miami-Dade Parcels [gis dataset]. Miami Dade County. https://gis-mdc.opendata.arcgis.com/datasets/MDC::parcel/about. last updated: 2024-10-28 (update frequency: As Needed). Abstract: A polygon feature class of the property ownership boundaries as defined by legal description and deeds.Used for Maintaining property boundaries throughout Miami-Dade County. A polygon feature class of the property ownership boundaries as defined by legal description and deeds. Used for Maintaining property boundaries throughout Miami-Dade County. Updated: Weekly-Sat The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_Sphere Projection: Mercator_Auxiliary_Sphere Key words: Florida, Miami-Dade County, MDC, Geography, Property, Housing, Parcels, Population, 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_get_attributes(tablename=mdc_parcels,lat=25.718,lng=-80.279,identifier=folio,attrs=[pid,ttrrss,folio,condoflg,mod_date,mod_type,subcode,parcel,parcel_strap,editor_name,edit_date,modify_by,modify_date,shape_area,shape_length],normal='') ETL documentation

ETL for mdc_parcels

######### # 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_parcels/{download,etl} && cd /data/mdc_parcels # 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_parcels.json 'https://opendata.arcgis.com/api/v3/datasets/347bce97227c4b54b04a3e626b558950_0/downloads/data?format=geojson&spatialRefId=4326&where=1%3D1' # 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_parcels.json # load into postGIS with: ogr2ogr -lco GEOMETRY_NAME=geom -f PostgreSQL PG:"" download/mdc_parcels.json -nlt multipolygon -nln mdc_parcels ######### # Step 2 - SQL script (pseudo code): #### # remove duplicate points and make geometries valid: UPDATE mdc_parcels SET geom=ST_MakeValid(ST_RemoveRepeatedPoints(geom));" # add local geometry column and reproject existing geometries into local EPSG: SELECT AddGeometryColumn ( 'mdc_parcels', 'geom_local',2236,'multipolygon',2 ); UPDATE mdc_parcels SET geom_local=ST_MakeValid(ST_RemoveRepeatedPoints(ST_Transform(ST_Multi(geom),2236))); CREATE INDEX mdc_parcels_geom_local_idx ON mdc_parcels USING GIST (geom_local); NOTIFY pgrst, 'reload schema';"