1. Socio-Economic Benefits of Austin’s Tree Canopy Progress report presented by: • Kyle Fuchshuber (Project Manager) • JeradLaxson (Asst. Project Manager) • Megan Thomas (Editor & Researcher) • Eric Tijerina (Graphic Designer & Researcher) • Zachary Dye (GIS Specialist & Researcher)

2. Purpose • Progress update for following tasks: • Effects of tree cover on property values • Effects of tree cover on pavement costs • Effects of tree cover on crime rates • Scope: • Heavy tree canopy – very limited tree canopy • Adjusted focus areas to fit specific tasks in project

3. Effect of Tree Canopy on Property Values • Work Completed • Research and data collection complete • Density analysis • Tree canopy • Market price of single family home parcels

4. Density of single family homes with darker values representing higher market price Density of tree canopies

5. Effect of Tree Canopy on Property Values • Problems • Focus areas amended to fit task specifically

6. Effect of Tree Canopy on Property Values • Work Scheduled • Analyze independent variables • Viewshed • Distance from businesses and universities • Distance from natural areas • Acreage of parcels • Apply GWR (Geographically Weighted Regression) model • Analyzes spatial distributions and general trends

7. Effect of Tree Canopy on Pavement Costs • Work Completed • Exploring what data is obtained • Buffer of major roadways • Variable for pavement cost

8. Effect of Tree Canopy on Pavement Costs • Problems • Need more data • Pavement material, age, typical traffic conditions • Solution • Other variables will be analyzed: • UV damage based on viewshed analysis • Condition of road based on type • Highway – Heavy damage • Street – Moderate damage • Road – Least damage

9. Effect of Tree Canopy on Pavement Costs • Work Scheduled • Deciding what data to include • Analysis of data using GWR

10. Effect of Tree Canopy on Crime • Work Completed • Data collection • Dot map from the APD incidence report • Manually entered income data for neighborhoods • Used a model to calculate percentage of tree cover and number of incidence in each census block • Created a map representing income, percentage of tree cover, and number of crimes in each census block.

12. Effect of Tree Canopy on Crime • Work in Progress • Locate target neighborhoods • Compare these neighborhoods to one another to determine the effect of tree cover on crime

13. Effect of Tree Canopy on Crime • Work Scheduled • Create a series of maps of focus areas • Calculate statistic significance of tree cover on crime rates • Construct final report

16. Conclusion • Tree canopy’s relationship to crime rates has progressed most • Focus will now be given to other two tasks • Progress is on track and going well • Limited future issues

17. Questions or concerns?