3 Spatial Data Science Trends to Watch in 2018

The demand for data scientists to understand and use geospatial analysis has led to new trends and innovations in the field of data science, with a focus on spatial data and analysis inspiring CARTO's Spatial Data Science Conference. The conference will feature talks on working with GPS data, the emergence of spatial statistics, and spatial data science fueling route optimization. As the amount of GPS data grows, agile approaches and attention to spatial components are becoming increasingly important to make sense of this information, while spatial statistics help extract meaningful insights from geographical data. Spatial data science is also being used to optimize routes in logistics and transportation problems, with innovative processes being developed to determine the most cost-efficient route given constraints.

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