We app and heat maps
Budget: $750 – $1,500 USD
Purpose:
Create a web-app that will house dynamic multi-layered heat maps which will show all of the venues, events, average median income, and vibrancy in a given area. Seeing the intensity coupled with where they overlap on the map.
Four heat maps:
First map:
All venues in a given area such as restaurants/bars, grocery stores, convenient stores etc..(this one will be similar to Walk Score’s heatmap)
Second map:
All organized events such as concerts, conferences, sporting events, expo’s, citywide events etc.. in a given area.
Third map:
The vibrancy of a given area(this will track the average volume of people in an area (picture Google’s popular times on a macro level))
Fourth map:
Average median income map
Combined map:
Layering these maps on top of each other to see where they overlap depending on specific criteria.
Technical Features:
Location Lookup
A toggle view for each map
Opacity option slider
Hover data point feature
Step two:
The ability to go back over a specified amount of time. The purpose of this is to see growth for each metric in an area over that given amount of time.
Step three:
Create a predictive algorithm based off of past data to predict what a given area will look like in the coming years.
Create a web-app that will house dynamic multi-layered heat maps which will show all of the venues, events, average median income, and vibrancy in a given area. Seeing the intensity coupled with where they overlap on the map.
Four heat maps:
First map:
All venues in a given area such as restaurants/bars, grocery stores, convenient stores etc..(this one will be similar to Walk Score’s heatmap)
Second map:
All organized events such as concerts, conferences, sporting events, expo’s, citywide events etc.. in a given area.
Third map:
The vibrancy of a given area(this will track the average volume of people in an area (picture Google’s popular times on a macro level))
Fourth map:
Average median income map
Combined map:
Layering these maps on top of each other to see where they overlap depending on specific criteria.
Technical Features:
Location Lookup
A toggle view for each map
Opacity option slider
Hover data point feature
Step two:
The ability to go back over a specified amount of time. The purpose of this is to see growth for each metric in an area over that given amount of time.
Step three:
Create a predictive algorithm based off of past data to predict what a given area will look like in the coming years.
Related categories:
UX / User Experience
Google Maps API
Data Visualization
Google APIs
Web Application