Housing Justice: From Maps To Models

This week, we made good progress on both of our projects, the Anti-Displacement Tax (ADT) model and the Harbour Portfolio mapping tool. We read a paper from Dan Immurgluck relating to the ADT that gave us insight into what Dr. Immurgluck has done so far and what we can do differently in our model. In relation to the Harbour Mapping tool, we added a search box, map overlays, and a pop up to display the data. Let’s look at both the projects in detail.

We started the week off with reviewing the paper written by Dan Immurgluck. The paper was about understanding the most important variables in home value appreciaton. However, the model used in the paper wasn’t quite appealing to us. Therefore, we hope to use this paper’s model as a basis to create our own model to predict assessed home values. Jeremy suggested using a Neural Network algorithm; specifically, we are trying to use a Recurrent Neural Network algorithm. We are also using the Consumer Expenditure data and the Tax Accessor data to configure other features of our model. Estimating the assessed home values will help us determine the total cost of the ADT. Currently, we are also trying to look at tools to display our data in a way that is most useful to the community, and potentially create something that we could submit to the Bloomberg Data for Good Exchange.

The Harbour Mapping tool is developing really well. Takeria has been trying to incorporate an edit function and got the pop up data up and running on the map. The data will pop up only when a property is clicked on. She used the geoJson file with the properties to put data onto the pop up. Additonally, Bhavya and Takeria have been trying to integrate a database with the geoJson file. Bhavya added and styled the overlays of the Economic and Racial data onto the app. Right now, when you click on either the “race” overlay or the “econ” overlay, you can hover over an area and the map outlines the zip-code for that area. Vishwamitra worked on getting the Search Box to be displayed, and he’s trying to get it to search the database and use it in the map. Currently, we are trying to find options for databases that are compatible with geoJson files. Hayley and Jeremy also worked on creating a comprehensive list of Harbour properties to display on the map and merged this with the rest of the Tax Assessor data. We hope this information will be useful to our partner, Atlanta Legal Aid, in their predatory lending case.

Overall, we are all happy that our projects are progressing well. With regard to ADT, we have an idea of using a Neural Network model to predict the assessed home values, although we still need to discuss the details of this a bit more. For the mapping tool, we look forward to incorporating the database values into the map and producing our work on the server.