Campus Path
Deliverables
No. 1
Data
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The developers console made it possible to extract data that was collected using the phone’s sensor. The data is accessible in different formats that can be cut and pasted. The developers console extracts this data and converts into a code block that can bee further manipulated.
No. 2 (See map above)
No. 3
In step 9 of the lab selecting the URI string and asking for the data for the trip in the Accept field generates code. path, distance, and timestamp are elements within the code. The selements contain information for elements on the map. The information is the language that indicates the path or route, distance is how far the travel wad and timestamp tell when and how long the trip was. Path included elevation, and location when the data was collected.
No. 4
In this project data about short trips were recorded using an app on a smartphone, This data was accessible from a developers console allowing the user to extract the data in code format. This information was then pasted in a mapping code generator. The geojson allows the user to insert the data to be displayed on a map and edited.
No. 5
The GPS sensor in my phone allowed the app to collect data about trips and location. This type of information could be used to address transportation issues if collected in a way that the data could be aggregated from many users. Things like who is using the transportation paths, when they are using them, how often. When is it congested, are there safety concerns, can paths or areas be made more safe. Can the areas be used more efficiently?