Network-constrained points are constrained by and distributed on road networks, for example, taxi pick-up drop-off locations. The aggregation pattern (clustering) of network-constrained (significantly denser than randomly distributed) along roads may indicate spatial anomalies. For detecting quantifying the with highest intensity (i.e., number per network length) can reveal high demand. K-funct...