<p>City boundaries can be delineated using various proxy datasets, such as population, built-up area and night-time lights. Each proxy reflects different assumptions about what constitutes a city, and each has its own strengths and limitations. How, then, can we determine the most appropriate proxy for a given application? Here we propose a framework to support researchers in selecting a proxy, and encourage them to be explicit about the rationale for their choice. We argue that the choice of proxy should ultimately be purpose-driven, ensuring that the data align with the conceptualization of the city relevant to the application.</p>

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Proxy datasets to identify city boundaries

  • Céline Van Migerode,
  • Ate Poorthuis,
  • Ben Derudder

摘要

City boundaries can be delineated using various proxy datasets, such as population, built-up area and night-time lights. Each proxy reflects different assumptions about what constitutes a city, and each has its own strengths and limitations. How, then, can we determine the most appropriate proxy for a given application? Here we propose a framework to support researchers in selecting a proxy, and encourage them to be explicit about the rationale for their choice. We argue that the choice of proxy should ultimately be purpose-driven, ensuring that the data align with the conceptualization of the city relevant to the application.