Lecture 8 Geocoding. Dr. Zhang Spring, 2017

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1 Lecture 8 Geocoding Dr. Zhang Spring, 2017

2 Model of the course Using and making maps Navigating GIS maps Map design Working with spatial data Geoprocessing Spatial data infrastructure Digitizing File geodatabases Geocoding Interactive maps Map Animations Map layouts Spatial analysis 3D GIS Proximity analysis Raster analysis Analyzing Spatial data Network analysis Data mining Spatial regression

3 Outline Geocoding overview Polygon geocoding Linear (street) geocoding Problems and solutions Geocoding layer sources Geocoding in ArcGIS 3

4 Lecture 8 GEOCODING OVERVIEW

5 Overview Process of creating geometric representations for locations (such as points) from descriptions of locations (such as street addresses) Uses a computer program called a geocoding engine that employs code tables and rules to standardize address components 5

6 Examples City s economic development department Maps technology businesses by street address to determine technology-rich areas in a city Hospital Maps patients to determine where to open a satellite clinic Retail store chain Maps store and customer locations, and compares to mapped competitor locations Others? 6

7 Tabular data Text file or database Street addresses ZIP Codes 7

8 Geocoding reference layers Street centerlines ZIP Code polygons 8

9 Lecture 8 POLYGON GEOCODING

10 ZIP Code geocoding Method to map data whose geocode is for a polygon Assign each record to its polygon Count the records for each polygon Join the table to the corresponding polygon layer Symbolize using a choropleth map or graduated point symbols 10

11 ZIP Code geocoding 11

12 ZIP Code geocoding Points created at ZIP Code centroids 12

13 ZIP Code geocoding Points (attendees) spatially joined to ZIP Code polygons 13

14 ZIP Code geocoding Choropleth map created 14

15 Lecture 8 LINEAR (STREET) GEOCODING

16 Linear geocoding (streets) TIGER (Census Bureau) street maps Four street-address numbers, low to high for each side of a street segment 100 Oak Street

17 Address components Number 125 Oak St E, Apt. 2, Pittsburgh, PA Street name 125 Oak St E, Apt. 2, Pittsburgh, PA Street type 125 Oak St E, Apt. 2, Pittsburgh, PA Direction, suffix 125 Oak St E, Apt. 2, Pittsburgh, PA Direction, prefix 125 E Oak St, Apt. 2, Pittsburgh, PA Unit number 125 Oak St E, Apt. 2, Pittsburgh, PA Zone, city 125 Oak St E, Apt. 2, Pittsburgh, PA Zone, ZIP Code 125 Oak St E, Apt. 2, Pittsburgh, PA Items for single-number street address: Address Unit City ZIP Code 125 Oak St E Apt. 2 Pittsburgh

18 Street Intersections Put street intersections in address field Forbes AV & Craig ST Grant ST & 5 th AV E North Star RD & Duncan AV Do not include street numbers 3999 Forbes Ave & 100 Craig ST Connectors Any unusual character (e.g., ) Just be consistent

19 Geocoding Flowchart Input Address Parse Address Yes Score Matches Matches? No Output No match Generate Soundex Key Best match >= 90? No Find Candidates: No range & Soundex Key Yes Output Address

20 Geocoding steps Original address: 125 East Oak Street Address parsed: 125 East Oak Street Abbreviations standardized: 125 E Oak St Elements assigned to match keys: [HN]:125 [SN]:Oak[ST]:St [SD]:E [ZP]:15213 Index values calculated: [HN]:125 [SN]:Oak(Soundex # ) [ST]:St [SD]:E [ZP]:15213 (Index #) 20

21 Soundex index Matches names based on how they sound (if indices match) Translates names to a 4 digit index of 1 letter and 3 numbers First character of name remains unchanged Adjacent letters in the name which have the same Soundex key are assigned a single digit If the end of the name is reached before filling 3 digits, use zeros to complete the code Oake = O-200, Oak = O-200 Smith = S-530, Smythe = S-530 Paine = P-500, Payne = P-500 Callahan = C-450, Calahan = C-450 Key Letters 1 b f p v 2 c g j k q s x z 3 d t 4 l 5 m n 6 r disregard a e h i o u y w Beadles = B-342, Beattles = B-342 Schultz = S-243, Shults = S

22 Scoring Candidates Use a rule base to score source and reference matches Start with Score of 100 Subtract points for each mismatch Examples from rule base Soundex indices match but street names do not (-2) Street type missing in source (-1) Street types do not match (-2) 22

23 Candidate streets Candidates identified: 125 East Oak Street15213 From To Street Type Side Parity Direction Street_ 2 98 Oak St R E W Oak St L O W Oak St R E E Oak St L O E 4357 Candidates scored and filtered: From To Street Type Side Parity Direction Street_ Oak St R E E Oak St L O E

24 Pine Ave Address matched as point Best candidate matched From To Street Type Side Parity Direction Street_ Oak St L O E 4357 Oak St

25 Lecture 8 PROBLEMS AND SOLUTIONS

26 Possible problems Variations in street names Fifth Avenue, Fifth Ave., 5th AV Saw Mill Run Blvd, Route 51 Data entry errors Fidth Avenue Sawmill Run Place-names White House, Heinz Field, Empire State Building Intersections Fifth Avenue and Craig Street 26

27 Possible problems Zones 100 Main ST 15101, 100 Main ST P.O. boxes P.O. Box 125 Missing street data 27

28 Solutions Clean data before geocoding Purchase or build high-quality maps (field verification) Use postal address standards Assign house numbers in rural areas Use alias tables Alias White House Heinz Field Empire State Building Address 1600 Pennsylvania Avenue 100 Art Rooney Avenue 350 5th Ave 28

29 Alias table Alias CMU Carnegie Mellon Carnegie Mellon U Carnegie Mellon Univ Carnegie Mellon University Etc. Address 5000 Forbes Av 5000 Forbes Av 5000 Forbes Av 5000 Forbes Av 5000 Forbes Av

30 Lecture 8 GEOCODING LAYER SOURCES

31 US Census TIGER files Digitized from 1:100,000 scale maps Pros: Free and easy to download Uniform across jurisdictional lines (nationally) Street address formatting works well with standard GIS geocoding capacities Cons: Incomplete data Placement of address point is approximate 31

32 TIGER line attribute table Census street centerlines extracted from lines that make up census boundaries tl_2009_04013_edges.shp "FEATCAT" = 'S' 32

33 MAF/TIGER Master Address File/Topologically Integrated Geographic Encoding and Referencing MAF is a complete inventory of housing units and businesses in the U.S. and its territories TIGER is a collection of lines as we know it MAF produces mail-out census forms & ACS random samples New 2009 MAF/TIGER MAF/TIGER produces maps for Old on-the-ground TIGER census takers MAF is confidential TIGER 2009 and newer has much improved positional accuracy Photos:

34 US Census ZIP Codes ZIP Code Tabulation Areas (ZCTAs) Approximations for census purposes Do not reflect actual zip code areas and are not kept up to date 34

35 Local jurisdictions Parcel address points Pros: Accurate placement of residential location (parcel positional data is often very good, e.g., +/- 5 meters or less) Cons: May need to contact individuals within agencies to get most up to date data May not be available, or may cost a substantial amount of money Data ends at jurisdictional boundaries Data files tend to be very large 35

36 Local jurisdictions Street centerlines Pros: Potential to be more up to date (often yearly updates, sometimes quarterly) Often adequate accuracy to meet city infrastructure needs (typically +/- 10 meters or less) Cons: May need to contact individuals within agencies to get most up to date data Data ends at jurisdictional boundaries 36

37 Private vendors StreetMap USA National dataset (US and Canada) Address locators pre-built, can geocode across the US GDT Dynamap/2000 US street data Small fee for individual ZIP Code layers. Map layers are the highest-quality street map layers in terms of appearance, completeness, and accuracy. More than one million changes every quarter Maps include more than 14 million US street segments and include postal boundaries, landmarks, water features, and other features 37

38 Online geocoding ArcGIS.com, Google, Batch Geocode, Geocommons, Maptive, etc. Pros: Fast and easy to access Free or inexpensive Cons Loss of privacy/confidentialty Accuracy Usability in desktop GIS 38

39 Lecture 8 GEOCODING IN ARCGIS

40 Create address locator ArcCatalog 40

41 Choose address locator style Skeleton of the address locator Based on data tables and reference layer 41

42 Address locator styles Styles US Address Dual Ranges US Address Single House Reference dataset geometry Lines Points or polygons Reference dataset representation Address range for both sides of street segment Each feature represents an address Address search parameters All address elements in a single field All address elements in a single field Example 320 Madison St. N2W1700 County Rd Union St. 71 Cherry Ln. W1700 Rock Rd Carson Rd. Applications Finding a house on a specific side of the street Finding parcels, buildings, or address points 42

43 Choose reference layer Streets, ZIP Codes 43

44 ArcGIS locator parameters

45 Geocode in ArcMap Add tabular data and streets layer Add address locator Geocode addresses View geocoding results Interactively rematch addresses 45

46 Address rematching Investigate unmatched addresses. Generally requires expertise and knowledge of local streets Compare a street name in the attributes of the streets table and the address table. 46

47 Prepare log file Log file includes reasons why addresses did not get geocoded. Useful for future work on cleaning addresses or repairing street maps Incorrect address Possible reason/solution 490 Penn Avenue Missing ZIP Code 111 Hawksworth Spelled incorrectly 900 Smallman Street TIGER street missing 900 Lib Ave Spelled incorrectly 47

48 Summary Geocoding overview Polygon geocoding Linear (street) geocoding Problems and solutions Geocoding layer sources Geocoding in ArcGIS 48

49 Lab Tutorial 8-1 (p286 ) Tutorial 8-5 (p305) 49

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