Leveraging satellite imagery, location data from IHS Energy Data Information Navigator, and data from several humanitarian relief agencies, the authors show the devastation of the Syrian civil war by visualizing how in two years “the country is 83 percent darker at night than before the war.”ĭid you know that until Theodore Roosevelt, no sitting United States President traveled outside the country? This is just one of the many historical insights made accessible thanks to the University of Richmond’s, and specifically its data visualization of every executive trip from Roosevelt to Obama. Rebecca Lai reminded us of this genre’s effectiveness in “Syria After Four Years of Mayhem” (2015). The data visualization color palette–red, white, and blue–reinforces Aldhous’s point, and perhaps explains why National Geographic ranked “Spies in the Sky” among its best maps of 2016.īefore and after pictures can seem gimmicky, but Sergio Pecanha, Jeremy White, and K. Individual aircraft flights are represented by animated dots while dense circles indicate regularly monitored areas. government’s airborne surveillance using aircraft location data provided by flightradar24. Peter Aldhous’ “Spies in the Sky” data visualization reveals flight track patterns of the U. Location data was used to map military bases throughout the area, and then an area of influence analysis was applied to approximate the radius of areas at risk from different missile launch capacities. In response, the Center for Strategic and International Studies’ (CSIS) Missile Defense Project built MissileThreat, an interactive data visualization providing a broad (but admittedly not exhaustive) overview of the A2AD situation in Europe. Missile Threat: CSIS Missile Defense ProjectĪs relations among NATO member states cool, Russia continues to flex its militaristic might and increased geopolitical presence. In visualizing this location data, the “World Migration Map” provides a transparency tool that can help fact check politicians flaming fears with heated rhetoric about walls and what not. The result? An incredible resource charting migration flow patterns from origin-to-destination spanning five years. With open data on worldwide net migration between 20 provided by the United Nations Population Division, Max Galka set out to visualize this large volume of data in one map. These routes can be enriched with municipal location data and population demographics provided from NASA satellite imagery and the Colombian National Department of Statistics respectively. Built with a recently released open dataset, Conflict Urbanism uses location data from displaced populations to chart routes from Colombia’s countryside to its urban centers.
![python basemap 3d earthquake data python basemap 3d earthquake data](http://blairgemmer.com/Images/Earthquakes/worst_earthquakes000087.png)
The causes behind the unsustainable increase in global urban migration are many, but this data visualization shows how armed conflict has caused mass migration in Colombia from 1985 to 2015. “The overall aim of the exercise,” as stated on the website, “is to help viewers imagine the extent of the destruction that might have been visited upon the UK and German capitals had these cities stood at the centre of Syria’s current conflict.” In using location data to relocate the destruction wrought by the Syrian civil war, Hack reminds us that data visualizations are not only beautiful, but powerful communication tools. Hans Hack’s Reprojected Destruction uses satellite imagery showing city-wide damage to buildings and infrastructure in Aleppo, Syria that he then projected onto figure-ground maps of Berlin and London. Sites, Sounds, and Smells of City Livingįrom data visualizations on global breathing patterns, to fan reactions to the latest episode of Game of Thrones, to international diplomacy and humanitarian crises, these 80 data visualizations are only a small glimpse into the different ways location data is being used around the world.We grouped these 80 data visualizations into thematic categories, and then listed each entry (click on the name of the visualization to open it).
![python basemap 3d earthquake data python basemap 3d earthquake data](https://data-science-blog.com/wp-content/uploads/2018/02/data-science-ionospheric-perturbations-earthquakes.png)
The 80 entries below surprised us, taught us, inspired us, and drastically changed the way we understand location data. We’ve scoured the web in search of data visualizations showing the value of location data in its many varieties, and have compiled this mega list to bring you the very best examples.
![python basemap 3d earthquake data python basemap 3d earthquake data](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-22231-y/MediaObjects/41467_2021_22231_Fig1_HTML.png)
As the importance of location data continues to grow so do the ways you can visualize this information.