A React app landing page and an ESRI story map app fused together to create an easy-to-use and informative experience for the user.
Quick start option:
Quick start our app
Landing page and hosting option:
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Clone our repo to host our landing page on your local address.
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Once cloned, in terminal go to where your folder is located.
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cd 3g-squared-client -
npm install -g serve -
serve -s build
- Open up your preferred browser and go to where you are running the react app.
Good job, hacker! You have launched our app! 💥🚀
The goal of HOMEwork is to provide urban planners and municipal zoning officials with a spatial reference on potential areas within their districts that may result in housing inequality. This online repository uses housing price and median income information from open municipal and Statistics Canada data to provide an estimate of the current housing economy, as well as forecasts for the UN 2030 goal of reducing inequality.
The projected rent and income calculations were based off historical census data. The average monthly rent costs were dated from 1992 to 2019. From these, we extrapolated growth rates and the rates of the growth rates to find the most accurate projected growth. Each one was applied annually until the United Nations' target year of 2030.
Median income data was shown from 2005 to 2015. The growth rate is estimated as there is no annual data supplied between the two years in the dataset. The same process was applied to estimate the growth rate.
- 🧠 Easy to understand - No experience in GIS or data analysis needed.
- 🧹 Clean UI - Easy-to-use user interface for an effortless and trouble-free experience.
- 🗺️ Interactive Maps - Each section inside the story map includes a map to help visualize the data and results.
- 📈 Infographics - Analysis summarized in communicative infographics to drive each point further.
- ✍️ Written Analysis - Broken down write-ups for easy comprehension of the results.
- 📚 Resources - Sources provided for further research and applications.
- Priya Patel
Priya is a graduate student in the Department of Geography at the University of Toronto. She has a background in engineering and has previous consulting experience. Her current research is focused on modeling urban air quality using satellite remote sensing data.
- Nicole Moguilevskaia
Nicole is a 3rd year undergraduate student studying GIS, Computer Science, and Math at the University of Toronto. When she is not studying, she is working as a graphic designer for an on school organization empowering women in STEM called WiSC.
- Leila Uy
Leila is a 4th year undergraduate student in the GIS major with minors in Computer Science and Math at UTM. She is interested in using her skills in GIS and computer science to battle the environmental and social problems in the contemporary world. In her free time, you can find her painting, finding good dessert places with her friends, playing video games, or making origami.
| Data | Source |
|---|---|
| Median household total income in 2015 | link |
| Census Tracts | link |
| Population Statistics (2016) | Montreal-Toronto-Vancouver |
| Housing as a right | link |
| Minimum income criteria | link |
| Census, Income from 2005 to 2015 | link |
| Average Rent of Cities in Canada | link |