Are you parallelizing your raster operations? You should!

If you plan to do anything with the raster package you should definitely consider parallelize all your processes, especially if you are working with very large image files. I couldn’t find any blog post describing how to parallelize with the raster package (it is well documented in the package documentation, though). So here my notes.
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Thursday, 17 January 2019

tweets


Twitter: frbailo

links


blogroll


RSS r-bloggers.com

  • ODSC East 2019 Talks to Expand and Apply R Skills
    R programmers are not necessary data scientists, but rather software engineers. We have an entirely new multitrack focus area that helps engineers learn AI skills – AI for Engineers. This focus area is designed specifically to help programmers get familiar with AI-driven software that utilizes deep learning and machine learning models to enable conversational AI, […]
  • tint 0.1.2: Some cleanups
    A new version 0.1.2 of the tint package is arriving at CRAN as I write this. It follows the recent 0.1.1 release which included two fabulous new vignettes featuring new font choices. The package name expands from tint is not tufte as the package offe...
  • Animating the US Treasury yield curve rates by @ellis2013nz
    My eye was caught by this tweet by Robin Wigglesworth of the Financial Times with an Alan Smith animation of the US Treasury yield curve from 2005 to 2009. It’s a nice graphic and it made me wonder what it would look like over a longer period. The ?...
  • Generating the Ultimate List of 41 Data Science Podcasts by Crowdsourcing Google Results
    Confession time: years ago, I was skeptical of podcasts. I was a music-only listener on commutes. Can you imagine? But around 2016, I gave in and finally took the plunge into podcasts. And I'm so glad that I did. Since then, I've seen enormous benefits, all attributable at least in part to the podcasts I've […]
  • Using ecmwfr to measure global warming
    For my research I needed to download gridded weather data from ERA-Interim, which is a big dataset generated by the ECMWF. Getting long term data through their website is very time consuming and requires a lot of clicks. Thankfuly, I came accross the nifty ecmwfr R package that allowed me to do it with ease. […]

RSS Simply Statistics

  • Tukey, Design Thinking, and Better Questions
    Roughly once a year, I read John Tukey’s paper “The Future of Data Analysis”, originally published in 1962 in the Annals of Mathematical Statistics. I’ve been doing this for the past 17 years, each time hoping to really understand what it was he was talking about. Thankfully, each time I read it I seem to […]
  • Interview with Abhi Datta
    Editor’s note: This is the next in our series of interviews with early career statisticians and data scientists. Today we are talking to Abhi Datta about his work in large scale spatial analysis and his interest in soccer! Follow him on Twitter at @datta_science. If you have recommendations of an (early career) person in academics […]
  • 10 things R can do that might surprise you
    Over the last few weeks I’ve had a couple of interactions with folks from the computer science world who were pretty disparaging of the R programming language. A lot of the critism focused on perceived limitations of R to statistical analysis. It’s true, R does have a hugely comprehensive list of analysis packages on CRAN, […]

RSS Statistical Modeling, Causal Inference, and Social Science