Happy new year 2017!
It’s January 1st and I made the new years resolution to post more this year. 🙂 So here is a short tutorial on how to download SRTM (Shuttle Radar Topography Mission) 90m resolution data (3 arc seconds) for an entire country using the {raster} and {rgeos}
Hey fellow trainers!
Although the Pokémon hype is slowly fading, I would like to show you, how you can programatically search for rare Pokémon with R. The final script will be able to either take coordinates or an adress and look for Pokémon within a given radius. Let’s start.
Hey there,
the package nasadata is finally officially available via CRAN. This package provides easy access to some of NASA’s open-source APIs.
The following APIs can be assessed with this package:
The EONET webservice aims
Hey rasteR people !
Welcome to the second part of my tutorial on how to increase the processing speed of the R {raster} package. In the previous part I showed you how to speed up R by increasing the maxmemory limit. This part will be a little more
Hey there!
Today I would like to do a small comparsion between three raster processing tools:
R, Python (rasterio) and GDAL.
When I started with GIS and raster processing, I didn’t really pay much attention to the performance of the scripts I wrote and tools I used. But now, working
Dear GIS enthusiasts!
As you already know, R is my favourite tool to work with spatial (raster) data. In some situations however, I am forced to move to a GIS desktop softwarer (à la QGIS) to get some basic information on my raster file. Since switching inbetween two softwares is annoying
Hey!
Today I am going to finish the series on how to increase the speed of processing raster images with R. In the last two posts I talked about changing the rasterOptions() and about parallelisation using foreach(). Both of these options migth give you a decent speed boost and
Hello there!
It’s been a while, but after a short creative break I am back with an exciting new tutorial: Plotting google maps images in R using geocoding with the help of the {dismo} package.
{dismo} is actually a package for Species Distribution Modeling but it also includes a function that
Hey there rasterR folks!
I love to code with R – most of my time I am spending on processing raster data with the {raster} package, bceause it’s quite intuitive and easy to use compared to other scripting languages. Sometimes however, when I work on larger datasets or when I
Hey there!
I was recently asked by a user how to calculate the Land Surface Temperature (LST) from Landsat 8 imagery and decided to write an article on this topic. I hope you will enjoy it.
Let’s start with the basics – What is LST?
The Land Surface Temperature (LST) is
