Google ha cambiato il suo indirizzo per le mappe da maps.google.com a google.com/maps

non ê una modifica da poco.

se prima autorizzavi la posizione del browser per maps.google.com, adesso lo autorizzi per tutto google.com

alla faccia della minimizzazione e della proporzionalità del gdpr

un buon motivo per usare le mappe con un wrapper come hermit per Android (se proprio si devono usare le mappe di Google, che sono un prodotto eccellente)

@quinta Mi sono abituato a usare OpenStreetMap e che tramite pacchetto posso usarle direttamente in R
@AngusRebus mi spieghi?
@quinta @AngusRebus sono curioso anch'io. Grazie.
@CltOff @AngusRebus "usarle direttamente in R" ?
Accessing OpenStreetMap data with R | Dr. Dominic Royé

Recently I created a map of the distribution of gas stations and electric charging stations in Europe. How can you obtain this data? Well, in this case I used points of interest (POIs) from the database of *Open Street Maps* (OSM). Obviously OSM not only contains the streets and highways, but also information that can be useful when we use a map such as locations of hospitals or gas stations.

Dr. Dominic Royé
Personal Art Map with R | R-bloggers

Map art makes beautiful posters. You can find them all over the internet and buy them even framed for your favorite city, area or country. The beauty of those posters relies in the intricate and beautiful pattern of roads, buildings, parks, rivers, etc., which in turn shape our cities and our mobility. In my research I constantly use those maps as the hardware fabric in which humans interact, move or encounter in urban settings. We found, however, that each of us have a distinct mobility pattern around cities so even people living in the same neighborhood experience the city in a totally different way. So for my map art I wanted to create something more personal: a combination of those beautiful street maps with personal mobility. That is, the city and how we navigate it. In this tutorial, you’ll learn how to create those street maps for your city and for your mobility. We will use data from Open Street Maps (OSM) and, of course, R. We will also use personal mobility data which you can input manually, but we will learn too how to get it from Foursquare or Google Maps Timeline (if you have location activated). Part of the material here is based on the tutorial by Christian Burkhart. Creating the streetmap The first thing will be to get a beautiful map of the streets and boundaries of a given city. In this case, Boston, because is the place were I live. To download the streets we use the osmdata package to query OSM. First we define our bounding box, i.e. the area where we are going to query OSM: library(osmdata) bbx

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