Browsing Tag


R-Lab #3: A Shiny for the Milano Municipality Budget Data | Milan, May 27th

Events, R blog By May 17, 2017 Tags: , , , , , , No Comments

We are ready for the third R-Lab, the monthly appointment where we co-work together on a real data science problem using R. This time the R-Lab is promoted by nothing but the Assessorato alla Partecipazione, Cittadinanza Attiva e Open Data of the Comune di Milano! We will access their municipality budget data, and use one day of joint work for designing and realizing an R Shiny app that allows citizens to visualize and explore the city revenues and spending info.


Using R and satellite data to identify marine bioregions

R blog By January 30, 2017 Tags: , , , No Comments

R has become an essential tool in oceanography and marine ecology. For instance, R is specifically used to read, process and represent in situ oceanographic data and to manage satellite data in order to produce high temporal and spatial resolution maps useful to synoptically explore and monitoring vast areas of the world oceans. In this post we briefly describe a practical use of R in conjunction with satellite data to identify marine bioregions of the Labrador Sea with different patters in the phytoplankton seasonal cycle.


Building a choropleth map of Italy using mapIT

R blog By January 20, 2015 Tags: , , , , 7 Comments

In the R environment, different packages to draw maps are available. I lost the count by now; surely, sp and ggmap deserve consideration. Despite the great availability of R functions dedicated to this topic, in the past, when I needed to draw a very basic map of Italy with regions marked with different colours (namely a choropleth map), I had a bit of difficulties.