Urban hotspots can be used to model the structure of urban environments and to study or predict various aspects of urban life. An increasing interest in the analysis of urban hotspots has been triggered by the emergence of pervasive technologies that produce massive amounts of spatio-temporal data including cell phone traces (or Call Detail Records). Although hotspot analyses using cell phone traces are extensive, there is no consensus among researchers about the process followed to compute them in terms of four important methodological choices: city boundaries, spatial units, interpolation methods, and hotspot variables. Using a large-scale CDR dataset from Mexico, we provide an interpretable systematic spatial sensitivity analysis of the impact that these methodological choices might have on the stability of the hotspot variables in both static and dynamic settings.

城市热点可用于对城市环境的结构进行建模，以及研究或预测城市生活的各个方面。产生大量时空数据（包括手机轨迹（或呼叫详细记录））的普及技术的兴起引起了人们对城市热点分析的兴趣日益浓厚。尽管使用手机迹线进行热点分析的范围很广，但研究人员对于按照四种重要的方法学选择方法进行计算的过程尚未达成共识，这些选择包括：城市边界，空间单位，插值方法和热点变量。使用来自墨西哥的大规模CDR数据集，我们提供了可解释的系统空间敏感性分析，可以分析这些方法选择对静态和动态环境下热点变量稳定性的影响。