The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

A podcast for the mapping community. Interviews with the people that are shaping the future of GIS, geospatial and the mapping world. This is a podcast for the GIS and geospatial community https://mapscaping.com/

https://mapscaping.com/blogs/the-mapscaping-podcast

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episode 44: Is R the language of geospatial data?


Episode #44 - R is perhaps the most powerful computer environment for data analysis that is currently available. R is both a computer language, that allows you to write instructions, and a program that responds to these instructions. R has core functionality to read and write files, manipulate and summarize data, run statistical tests and models, make fancy plots, and many more things like that. This core functionality is extended by hundreds of packages (plug-ins). Some of these packages provide more advanced generic functionality, others provide cutting-edge methods that are only used in highly specialized analysis such as geospatial computation.

Tim Appelhans joins me on the show today to talk about his journey from learning R too developing new packages and extending the geospatial visualization capabilities of R

Tim Appelhans on Github

#rstats on twitter

This episode is sponsored by HiveMapper

A platform that takes video and creates 3D mapping layers based on that data. The video can be from a variety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!

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 January 29, 2020  34m