Jared Lander - Using R for GIS and Mapping
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Published 2022-07-11
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Abstract: Drawing maps is one of the world's oldest forms of data visualization. While maps are straightforward to interpret, they can be harder to make. Yet it can all be done inside R, in many different ways. We will make maps using {ggplot2}, {tmap} and {leaflet}, including very large maps using WebGL. We will also see some GIS operations including including determining which points fall inside which polygons and how to triangulate a point on the Earth based on known distances to other areas.
Bio: Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York R Conference and an Adjunct Professor of Statistics at Columbia University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. Jared oversees the long-term direction of the company and acts as Lead Data Scientist, researching the best strategy, models and algorithms for modern data needs. This is in addition to his client-facing consulting and training. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization and statistical computing. He is the author of R for Everyone, a book about R Programming geared toward Data Scientists and Non-Statisticians alike. The book is available from Amazon, Barnes & Noble and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. Very active in the data community, Jared is a frequent speaker at conferences, universities and meetups around the world. He is a member of the Strata New York selection committee. His writings on statistics can be found at jaredlander.com.
Twitter: twitter.com/jaredlander
Presented at the 2022 New York R Conference (June 9, 2022)
All Comments (5)
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Although I feel I am being waterboarded with the flood of information pouring over me I find this interesting. Especially the latter half. I would like to comment that the Worldle game is played by students in a GIS class at my institution. As a further note the triangulating trick using three circles is actually how seismologists find the epicenter of an earthquake. Prior to computers they used a protractor on a physical map.
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how can we get the data?
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I think the biggest "problem" in the R mapping world is that there are some many different packages and sometimes hard to know which to chose
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Bouvet is volcanic I believe.
