Time Integrated Multi-Altitude Migration Patterns by Wouter Van den Broeck, Jan Klaas Van Den Meersche, Kyle Horton, and Sérgio Branco.
From the webpage:
The Problem
Every year hundreds of millions of birds migrate to and from their wintering and breeding grounds, often traveling hundreds, if not thousands of kilometers twice a year. Many of these individuals make concentrated movements under the cover of darkness, and often at high altitudes, making it exceedingly difficult to precisely monitor the passage of these animals.
However one tool, radar, has the ability to measure the mass flow of migrants both day and night at a temporal and spatial resolution that cannot be matched by any other monitoring tool. Weather surveillance radars such as those of the EUMETNET/OPERA and NEXRAD networks continually monitor and collect data in real-time, monitoring meteorological phenomena, but also biological scatters (birds, bats, and insects). For this reason radar offers a unique tool for collecting large-scale data on biological movements. However, visualizing these data in a comprehensive manner that facilitates insight acquisition, remains a challenge.
Our contribution
To help tackle this challenge, the European Network for the Radar Surveillance of Animal Movement (ENRAM) organized the Bird Migration Visualization Challenge & Hackathon in March 2015 with the support of the European Cooperation in Science and Technology (COST) programme. We participated and explored a particular approach.
Using radar measures of bioscatter (birds, bats, and insects), algorithms can estimate the density, speed, and direction of migration movement at different altitudes around a radar. By interpolating these data both spatially and temporally, and mapping these geographically in the form of flow lines, a visualization might be obtained that offers insights in the migration patterns when applied to a large-scale dataset. The result is an experimental interactive web-based visualization that dynamically loads data from the given case study served by the CartoDB system.
Impressive work with both static and interactive visualizations!
Enjoy!