Grounding Big Data on Climate‐Induced Human Mobility

Ingrid Boas*, Ruben Dahm, David Wrathall

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)


How can site‐based fieldwork support big‐data research? We reflect on this question by sharing our experiences in combining on‐site fieldwork with an existing big‐data analysis using call‐detail records (CDR), which detected anomalous population flows in Bangladesh during cyclone Mahasen. In the original study of the CDR, this mobility was hypothesized to reflect late evacuations from homes. We discuss how site‐based fieldwork enabled us to discover that the detected patterns in our area of study reflected something different: the movement of fishers seeking to protect their trawlers located at harbor areas. Moreover, the fieldwork, in conjunction with remote sensing shoreline evolution data, allowed us to identify and study high‐risk behaviors of immobility that the CDR analysis was not able to detect. In sharing our findings, we are reflective of our own endeavor to optimally combine qualitative and big‐data methods. While mistakes were made and challenges had to be overcome, insights were gained on how a combined methodology makes research well‐grounded, reflective, and more interactive
Original languageEnglish
Pages (from-to)195-209
Number of pages15
JournalGeographical Review
Issue number1-2
Early online date3 Apr 2019
Publication statusPublished - Jan 2020


  • Bangladesh
  • big data
  • environmental change
  • fieldwork
  • human mobility


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