Webmaps with R: the leaflet package for R
Some months ago I published qgis2leaf which enables a QGIS user to publish a webmap the easy way. It was integrated into qgis2web which offers a leaflet and…
Tag: R
Using Jupyter for data analysis
Data analysis in the modern-day computing industry is of great essence as the world tries to understand the data that has been accumulated in many systems across the…
Overview: R Cheat Sheets
Recently we had a discussion about where to find a nice cheat sheet (No! We are not talking about Simon the Sorcerer walk-throughs). Especially for scripting languages cheat…
Create custom markers with R for your webmap
When it comes to webmapping there are thousands of possible markers you can choose from but when it comes to markers depending on the data, which is inside…
short announcement: new R learning material
Coursera, hail to Coursera. Despite the uprising criticism on MOOCs and their footprint in the educational landscape at universities Coursera created an interesting R learning course. It is…
short announcement: RStudio with new debugger
I love scripting languages like R, MatLab, Python and Javascript. They are easy to learn and also fast in showing your results. But when it comes to debugging…
QGIS plugins: SEXTANTE
SEXTANTE by Victor Olaya is a powerful plugin that bundles many methods and applications from QGIS in one place and provides a GUI for your processing work flow…
Shiny @RStudio: an analytical webapp
As i was preparing myself for getting funding for the trip to the R user conference this year in Albacete, Spain I was coming across a highlightning talk…
R as a calculator: a little introduction to Tcl/TK programming with R
Due to an upcoming presentation about “what is R” and “what can I do with R” in my company I was playing around with GUIs as they are…
plotting raster data in R: adjusting the labels and colors of a classified raster
Thank’s to Andrej who wrote this comment: “Is it possible to to color the resulting 12 clusters within your original image to get a feel for visual separation?”…
unsupervised classification of a Landsat image in R: the whole story or part two
The main question when using remote sensed raster data, as we do, is the question of NaN-treatment. Many R functions are able to use an option like rm.NaN=TRUE…
unsupervised classification of a raster in R: the layer-stack or part one.
In my last post I was explaining the usage of QGis to do a layerstack of a Landsat-scene. Due to the fact that further research and trying out…