Data Inter-Comparability from Different Instrument, Network Layers: Urban Canyons

In many measurement problems, there are trade-offs between accuracy, precision, spatial measurement density (granularity), capital and operating costs. An optimal measurement network design may include:

  • reference standard instruments (high accuracy),
  • a medium quality instrument with a high level of precision (to provide spatial coverage) and
  • a lower cost instrument to provide very high spatial density measurement ( to assess properties such as gradients or root causes).

To confidently assure the data quality, understanding the inter-comparability of these instrument layers over extended periods is critical.