***Monetary figures have been adjusted for inflation and represent values in 2022 dollars.***
This project is still under development and therefore some values shown are likely to change
based on further review of data.
For example, the way units, non residential square feet and valuation are classified may vary from year
to year and could significantly skew annual and total change numbers. This web application is currently
being used to explore the data and look for variations in reporting methodology. The data binning script is
then adjusted to account for those variations.
This project summarizes annual property appraiser data for each parcel into a 1-acre
hexagram grid to track development, homeownership, valuation, and property taxes. It
covers the Urban Service Area of Leon County, Florida, starting in 2009. Parcel data was
processed into the hexagram feature layers using a custom Python script. Thus, it is
easy to update each October when updated parcel data is released.
Meaningful analyis of population growth trends is critical for making environmentally
and fiscally responsible decisions. Annual property appraiser data holds a wealth of
information but is challenging to analyze over time since parcel boundaries and size can
change significantly. For example, one parcel may be broken into 300 new parcels in
order to build a subdivision. The static hexagram grid allows reliable pattern change
detection from year to year regardless of changes in parcel boundaries.
The developer has been a land use planner in the fast-growing state of Florida for 20+
years and recently earned a Master's of Cartography and Graphic Information Systems from
the University of Wisconsin-Madison. This web application and the underlying Python script
used for binning the data were developed as a final project for that degree and will continue
o be developed (as time permits!). Feel free to contact me on LinkedIn: