Disaster Maps

Data from Facebook and Camber Systems highlights patterns of movement as people moved to shelter from the hurricanes that landed on the Gulf Coast in the early part of September. First, we can see the... Data from Facebook and Camber Systems highlights patterns of movement as people moved to shelter from the hurricanes that landed on the Gulf Coast in the early part of September. First, we can see the estimated change in the population of devices from Facebook data. The difference in densities between counties can be seen by comparing the percentage change of the population with an estimated absolute change extrapolated using the American Community Survey (ACS) data from the US Census.

Direct Relief, as in past natural disasters, is working with Facebook’s Data for Good team to analyze the movement of populations prior to and following the storm’s landfall. Comparing mobility... Direct Relief, as in past natural disasters, is working with Facebook’s Data for Good team to analyze the movement of populations prior to and following the storm’s landfall. Comparing mobility patterns to a baseline figure allows Direct Relief and other disaster response agencies to glean useful information, including whether evacuation orders were heeded, which areas received higher concentrations of evacuees, and which communities saw more people sheltering in place.

In this paper we explore a novel method for collecting survey data following a natural disaster and then combine this data with device-derived mobility information to explore demographic outcomes... In this paper we explore a novel method for collecting survey data following a natural disaster and then combine this data with device-derived mobility information to explore demographic outcomes. Using social media as a survey platform for measuring demographic outcomes, especially those that are challenging or expensive to field for, is increasingly of interest to the demographic community.

Facebook Disaster Maps (FBDM) is the first platform providing analysis-ready population change products derived from crowdsourced data targeting disaster relief practices. We evaluate the... Facebook Disaster Maps (FBDM) is the first platform providing analysis-ready population change products derived from crowdsourced data targeting disaster relief practices. We evaluate the representativeness of FBDM data using the Mann-Kendall test and emerging hot and cold spots in an anomaly analysis to reveal the trend, magnitude, and agglomeration of population displacement during the Mendocino Complex and Woolsey fires in California, USA.