46 min listen
Is R the language of geospatial data?
FromThe MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Is R the language of geospatial data?
FromThe MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
ratings:
Length:
34 minutes
Released:
Jan 29, 2020
Format:
Podcast episode
Description
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!
You are more than welcome to reach out to me on social media, I would love to hear from you!
Map_View on Instagram
MapScaping on Twitter
MapScaping on Facebook
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!
You are more than welcome to reach out to me on social media, I would love to hear from you!
Map_View on Instagram
MapScaping on Twitter
MapScaping on Facebook
Released:
Jan 29, 2020
Format:
Podcast episode
Titles in the series (100)
The future of collecting and updating geospatial data at a global scale: Hivemapper provides mapping, visualization, and analytic tools for humans and machines alike. The system ingests video, lidar or radar data and automatically creates it into useable geospatial information. by The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography