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In an era of heterogeneous data, novel methods and volunteered geographicinformation provide opportunities to understand how people interact with aplace. However, it is not enough to simply have such heterogeneous data,instead an understanding of its usability and reliability needs to beundertaken. Here, we draw upon the case study of Rakiura, Stewart Island wheremanifested passenger numbers across the Foveaux Strait are known. We have builta population model to ground truth such novel indicators. In our preliminarystudy, we find that a number of indicators offer the opportunity to understandfluctuations in populations. Some indicators (such as wastewater volumes) cansuggest relative changes in populations in a raw form. While other indicators(such as TripAdvisor reviews or Instagram posts) require further dataenrichment to get insights into population fluctuations. This research formspart of a larger research project looking to test and apply such novelindicators to inform disaster risk assessments.

Understanding population fluctuations through volunteered geographic  information and novel indicators: The experience of Rakiura, Stewart Island,  New Zealand