Browsing by Subject "Geospatial data"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Geospatial Curation Curriculum(Data Curation Network, 2024) Christiansen, Leighton L.; Grove, Kelly; Kernik, Melinda; Norris, Timothy; Moore, JenniferA collection of materials used to instruct individuals how to curate geospatial data. This is primarily targeted towards data stewards, but can be used by any and all when instructing on geospatial data curation. Includes modules for ease of use. Copies of files are also available in GitHub [https://github.com/DataCurationNetwork/curation-curriculum/tree/main/Specialized%20Data%20Types], which represent the dynamic versions of the curriculum that might be updated and revised as the curriculum is iterated upon.Item Mobile-device data, non-motorized traffic monitoring, and estimation of annual average daily bicyclist and pedestrian flows(Minnesota Department of Transportation, 2024-06) Barman, Simanta; Levin, Michael W.; Lindsey, Greg; Petesch, Michael; Scotty, Suzy; Stern, RaphaelPeople who walk and bike are the most vulnerable road users. However, understanding where they walk and bike requires continual data monitoring. Traditional methods rely on physical sensors in the infrastructure to detect the presence of pedestrians and bicyclists. However, these are expensive to deploy and only detect road users at the specific locations they are deployed. Instead, this study develops methods to use mobile phone based GPS data to estimate the number of bicyclists and pedestrians, and applies this methodology to the Twin Cities Metro area in Minnesota. The developed methodology is able to estimate average pedestrian and bicyclist volumes with relatively high accuracy.