Sage Research Methods is the ultimate methods guide, providing over 1000 high quality books, reference works, journal articles, and instructional videos the showcase the research methodologies from academics and experts around the world.
This past fall, they joined us at our NYC headquarters to work alongside our data science team in creating video guides, walking step-by-step through the research done and the process behind two of our latest spatial data science projects.
In this project, our data scientists visualized and analyzed over a million anonymized data points from mobile GPS data and open-source data from New York City’s Department of Parks and Recreation. This allowed us to look specifically at how people spend time and interact with other people in New York City’s public parks. This kind of detail can help inform regulations, park policy, future park design and much more.
Advances in Location Intelligence and spatial data science continue to transform business practices and business decision making processes, and site planning is a prominent example of this change. With insights from new data streams it is even possible to determine what sites are most likely to increase sales for seasonal, temporary, and mobile businesses.
Our data science team worked with one month’s worth of anonymized transaction data for each of a local food truck company’s 10 food carts. Using this information, they were able to assess current performance, build increasingly confident revenue models, and, finally, predict the six best performing food truck locations for future operation in New York City.
You’ve probably seen hexagon grids on maps, and maybe even created some of your own. But have you ever stopped to think about why? This is CARTO’s definitive guide to hexag...Spatial Data
The retail landscape of a city is a complex and intricate one. A store’s success or failure depends heavily on its location; whether it is in a busy area, has a strong loca...Spatial Data
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