In some respects, we are all drowning in data and one of the big challenges going forward will be filtering the data we have so we can make sense of the world by removing the noise. The Travel Time Platform approaches location-based search form the perspective of the time it takes to reach a destination. So in the example of searching for the nearest movie theater, the user will not be presented with a result that shows the options based on a certain travel time limitation as opposed to movie theaters in a straight line distance. In this interview, Charlie Davies walks us thought the challenges of building a search engine based on travel time and what this might look like in the future.
This episode is sponsored by HiveMapper
A platform that takes video and creates 3D mapping layers based on that data. The video can be from avariety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!
For most people, when they think aboutthe relationship between GIS and COVID-19, the obvious solution is tracking data. At the highest level, if there is any spatial relationship between where we are in our societies, where we go, who we interact with, and spread the disease, our measurements, thenour policy tools must also have a geospatial component to capture that effect.It's not a question of whether spatial data and spatial analysis matter for COVID-19. The problem is understanding what tools exactly can be used for specific insights and decisions.