1. « Just Do It » A Parcel Data Integration Project WLIA Team Justin Conner, Wood County GIS Specialist Ian Grasshoff, Waupaca County GIS Coordinator/LIO Jeff DuMez, Brown County GIS Coordinator/LIO Bill Cozzens, Waukesha County Land Information Systems Analyst

2. Overview Brief Project Summary Project Status Data Gathering Process Parcel Data Integration Methods Parcel Data Issues What’s Next?

3. Project Summary Goal – Single goal to collect as much parcel data as possible and assemble the data into a single parcel dataset Purpose – The existing reality of statewide data is not tenable Created 25 years ago and needs to adapt to the 21 st Century Does not support Wisconsin as well as it should – Demonstrate to other organizations, policy-makers and legislators the future of Wisconsin geographic information Modern, robust, comprehensive and easily accessible

5. Data Gathering AirDropper

6. Data Gathering AirDropper

7. Data Gathering AirDropper

8. Data Gathering AirDropper and DropBox

9. Project Status 62 of 72 counties sent data – Cities of Ashland and Eau Claire Of the 10 without parcels – 5 said “No thanks” – 5 were still hoping to hear from Aggregate Parcel Count as of 10/22/2012 : 3,146,169

10. Parcel Data Integration Methods Aggregate Parcel Schema Field NameData Type JDI_CTY_NAMEText(50) JDI_PARCEL_IDText(255) JDI_OWN_LSTText(255) JDI_OWN_FSTText(255) JDI_OWN_LST_FSTText(255) JDI_OWN_MAIL1Text(255) JDI_OWN_MAIL2Text(255) JDI_OWN_CITYText(255) JDI_OWN_STText(255) JDI_OWN_ZIPText(255) JDI_PROPERTY_ADDRText(255) JDI_TX_CLASSText(255) JDI_TX_LAND_VALDouble Field NameData Type JDI_TX_IMP_VALDouble JDI_TX_TOTAL_VALDouble JDI_TX_ACRESDouble JDI_TX_YEARText(255) JDI_CTY_DATEDate JDI_PUB_DATEDate JDI_URLText(255)

11. Parcel Data Integration Methods Developed a python script tool to normalize and aggregate parcel data – A little additional data prep before running the tool – Python Script Tool Does the following: Adds the Just Do It (JDI) schema to the input parcel data Transfers the input parcel attributes to the JDI schema Converts input data to other data format (string -> integer etc) Logs processing inputs and messages to an xml file Appends the input parcel data to a Statewide parcel layer – Very easy to repeat the process…

12. Parcel Data Integration Methods

13. Parcel Data Issues Attribute Issues (the major ones) – Working with “Flat Files” (data structured by line position) – Some data was all concatenated together (ex. Owner First + Owner Last). This mostly occurred with names and addresses. – Concatenated values difficult to split out when a “space” was the only separator… – Storing numeric data as mix of numbers and strings (ex. 40.12 acres). You can’t do mathematical operations on text data.. – Storing substrings within strings (ex. Kevin “The Bear” Smith) – Assessment Classes & values combined vs. broken out – How Condo Parcels are handled (relationship vs. stacked)

14. Parcel Data Issues Geometry Issues (the major ones) – As you would imagine…gaps and overlaps do exist At it’s widest point, approx. a 375 ft gap