Transcript

Using Spatial Data Science to Improve Food Truck Sales: CARTO

Name: Using Spatial Data Science to Improve Food Truck Sales: CARTO
Uploaded: 2019-03-26
Duration: 15 min 29 s

Video Type: In Practice

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  Lynn, S., Fan, D., Xu, W., & Eschbacher, A. (Speakers). (2019). Using spatial data science to improve food truck sales: carto [Video]. SAGE Research Methods. https://dx.doi.org/10.4135/9781526493231
  
  Lynn, Stuart, Dongjie Fan, Wenfei Xu, and Andy Eschbacher. "Using Spatial Data Science to Improve Food Truck Sales: CARTO." In SAGE Video. London: SAGE Publications Ltd, 2019. Video, 00:15:29. https://dx.doi.org/10.4135/9781526493231.
  
  Lynn, S., Fan, D., Xu, W. and Eschbacher, A., 2019. Using Spatial Data Science to Improve Food Truck Sales: CARTO, SAGE Video. [Streaming Video] London: SAGE Publications Ltd. Available at: <https://dx.doi.org/10.4135/9781526493231 & gt; [Accessed 1 Jul 2022].
  
  Lynn, Stuart, et al. Using Spatial Data Science to Improve Food Truck Sales: CARTO. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 26 Mar 2019. doi: https://dx.doi.org/10.4135/9781526493231. 1 Jul 2022.
  
  Using Spatial Data Science to Improve Food Truck Sales: CARTO [Streaming video]. 2019. doi:10.4135/9781526493231. Accessed 07/01/2022
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Summary

Summary

Stuart Lynn, Head of Data Science, Wenfei Xu, Data Scientist, Andy Eschbacher, Map Scientist, and Dongjie Fan, of CARTO, discuss recent spatial data science projects, specifically the food truck sales project, including accessing and collection of data, challenges using the data, modelling the data, programming languages used, process and verification of the model, data storage and security, outcomes of the project, and the importance of data science in improving outcomes.