Interactive visualization of large-scale spatial data sets in R

In the beginning, there were only static maps. Over the past years we have seen the creation of new packages like mapview and mapedit that allow one to interactively visualize and edit spatial data in R. Despite these developments, it was still a bit tricky to visualize large spatial data sets in R. Not anymore.

Two packages that are pushing our capabilities to interactively visualize large-scale spatial data sets in R:

• leafgl, by Tim Salabim (the main person behind mapview and mapedit)
• mapdeck, by David Cooley from Symbolix (who is also behind googleway and spatialwidget) 

Hats off to these two!

leafgl

mapdeck

Assorted links

1. Automation and AI will increase spatial/regional inequalities. Paper by Morgan Frank and colleagues
   
   
2. Explore, select and download data of the global population projections by age, sex and education, a great collaborative work of researchers from the Wittgenstein Centre for Demography and Global Human Capital
   
   
3. The team led by Max Roser at Our World in Data is hiring a postdoctoral researcher in the area of global health and population sciences
   
   
4. Greyhound: a powerful platform to interactively explore and analyze massive point clouds with Trillions of points in the browser, via Howard Butler
   
   
   
   
5. The dynamical structure of political corruption networks. A paper by Haroldo Ribeiro, Luis Alves et al., analyzing 27 years of political corruption scandals in Brazil
   
   
6. Citywide effects of high-occupancy vehicle restrictions: Evidence from “three-in-one” in Jakarta, by Rema Hanna et al.
   
   
7. Want to find statistically significant hierarchical modules in weighted networks? paper here and code here, by Tiago Peixoto, who is the author of the graph-tool Python library

Assorted Links

1. Interactive visualization of all the world's flight paths, by Callum Prentice
   
   
   
   
2. Chile is using mobile data to find out how and why women use the city differently than men
   
   
   
   
3. The Actual Voices of Enslaved Black People Recorded From The 1800s, via Danilo Freire
   
   
   
   
4. A research agenda on geospatial big data and cartography, by Anthony C. Robinson et al
   
   
   
   
5. Researchers produce images of people’s faces from their genomes
   
   
   
   
6. Alex Singleton, Seth Spielman and David Folch have a new book called Urban Analytics. The book looks really promising! I haven't had the chance to read it need to work on my phd thesis and it is packed with GitHub resources that you can access here
   
   
   
   
7. A photographer has documented life in this Chinese square for 30 years. via Peter D Smith
   
   
   
   
8. Does causation imply correlation?
   
   
   
   
9. The transition from more than 6 to fewer than 3 children per woman took the UK almost a century. This change took 26 years to happen in Brazil, and only 11 years in China - Max Roser (ht Leo Monasterio)

The Age of Data

BBC Four has a produced a fascinating documentary on The Joy of Data, presented by the great Hannah Fry (Twitter).

Inequalities, cities, big data, transport and health

These are the core issues covered in five special issues of top journals this year, what I think reflects how these topics and particularly cities and social inequality have gained strong momentum in recent years.

• Nature: Science and Inequality
• Nature: a  not so  new urban agenda and the UN’s Habitat III meeting
• Science: Urban Planet
• Built Environment: Big data and the city
• The Lancet: Urban design, transport, and health