Salem Oregon Address Import

See https://wiki.openstreetmap.org/wiki/Salem_Oregon_Address_Import

Data Source

• Salem GIS department's FTP server
  • Also https://data.cityofsalem.net/datasets/salem::primary-address/explore
• No copyright, public domain

Field Mapping

• ADD_NUM -> addr:housenumber (int)
• formatstreet(FULL_ST_NAME) -> addr:street (text)
• SUB_VAL -> addr:unit (text)
• title(CITY) -> addr:city (text)
• ZIP -> addr:postcode (text)
• addr:state 'OR' (manually added)

Processing

• Get Primary_Addresses.geojson from the City GIS server linked above.
• Open the file in QGIS and open the layer attribute table
• Use the field calculator and the below script to add new virtual fields per the mapping above.
• Export the layer to geojson with "EPSG:4326 - WGS 84" projection. Deselect all fields besides those above.
• Save as processed.geojson

Import steps

• Load processed.geojson into JOSM
• Zoom in to the area you wish to work on and Download OSM data to a New Layer
• In the geojson layer, select one neighborhood or city block worth of addresses
• Click Edit > Merge Selection
• Delete the selected items you just merged (so you don't try merging them again later)
• Switch to Data Layer 1 and run the JOSM Validator
  • An easy way to only validate changes is to press the Upload button, but cancel before actually uploading.
  • We don't need to worry about validation errors that don't involve our changes.
• Fix all duplicate housenumber warnings and nearby street not found warnings
  • An easy way to auto-fix all duplicate housenumbers is to select all duplicates, Search within the selection for new, and delete.
  • Pay special attention to errors like "East Street Northeast" -> "E Street Northeast" which can be mass-corrected.
• Search for all new "addr:housenumber" = "0" elements and delete them.
• Click Upload, verify there are no further warnings or errors in the changeset
  • Make sure there are no erroneous Relations or other unwanted objects about to be uploaded.
• Upload with this changeset comment:

comment=Addresses near Salem Oregon #salemimport
import=yes
website=https://wiki.openstreetmap.org/wiki/Salem_Oregon_Address_Import
source=City of Salem GIS
source:url=https://data.cityofsalem.net/datasets/salem::primary-address/explore

• Review imported data in Achavi or Osmcha to ensure it looks proper.

QGIS Processing script

import qgis.core
import qgis.gui
import re

#
# This will keep street names like SR 574A as SR 574A however
# will lowercase other number-digit suffixes with <2 or >4 numbers
# or >1 suffix-letters, like 12th Street or 243rd Ave.
#

@qgsfunction(args='auto', group='Custom', referenced_columns=[])
def getstreetfromaddress(value1, feature, parent):
    parts = value1.split()
    parts.pop(0) # Ignore the first bit (i.e. "123" in "123 N MAIN ST")
    parts = map(formatstreetname, parts)
    return " ".join(parts)

@qgsfunction(args='auto', group='Custom', referenced_columns=[])
def formatstreet(value1, feature, parent):
    parts = value1.split()
    parts = map(formatstreetname, parts)
    return " ".join(parts)

# Internal function
def formatstreetname(name):
    # Acryonyms
    if name == "CR":
        return "County Road"
    if name == "SR":
        return "SR" # State Route
    if name == "NFS":
        return "NFS" # National Forest Service?
    if name == "US":
        return "US"
    # Directions
    if name == "N":
        return "North"
    if name == "NE":
        return "Northeast"
    if name == "E":
        return "East"
    if name == "SE":
        return "Southeast"
    if name == "S":
        return "South"
    if name == "SW":
        return "Southwest"
    if name == "W":
        return "West"
    if name == "NW":
        return "Northwest"
    # Suffixes
    if name == "AV":
        return "Avenue"
    if name == "AVE":
        return "Avenue"
    if name == "BLVD":
        return "Boulevard"
    if name == "BND":
        return "Bend"
    if name == "CIR":
        return "Circle"
    if name == "CR":
        return "Circle"
    if name == "CT":
        return "Court"
    if name == "DR":
        return "Drive"
    if name == "FLDS":
        return "Fields"
    if name == "GRV":
        return "Grove"
    if name == "HL":
        return "Hill"
    if name == "HOLW":
        return "Hollow"
    if name == "HW":
        return "Highway"
    if name == "HWY":
        return "Highway"
    if name == "LN":
        return "Lane"
    if name == "LOOP":
        return "Loop"
    if name == "LP":
        return "Loop"
    if name == "PATH":
        return "Path"
    if name == "PL":
        return "Place"
    if name == "RD":
        return "Road"
    if name == "RUN":
        return "Run"
    if name == "SQ":
        return "Square"
    if name == "ST":
        return "Street"
    if name == "TER":
        return "Terrace"
    if name == "TRL":
        return "Trail"
    if name == "VW":
        return "View"
    if name == "WAY":
        return "Way"
    if name == "WY":
        return "Way"
    if name == "XING":
        return "Crossing"
    if re.match('^[0-9]{2,4}[A-Za-z]$', name) != None:
        return name

    return name.capitalize()