Urban Sensing Optimization and Sampling

Authors: Evgeny Noi*, , Alan Murray, Graduate Adviser, Professor, Department of Geography University of California at Santa Barbara Santa Barbara
Topics: Geographic Information Science and Systems, Spatial Analysis & Modeling, Quantitative Methods
Keywords: urban sensing, environmental monitoring, air quality, spatial optimization, sensory networks
Session Type: Paper
Day: 4/6/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Roosevelt 4, Marriott, Exhibition Level
Presentation File: No File Uploaded


Environmental monitoring is an integral part of urban sensing, particularly in spatially heterogeneous surroundings of mega-metropolitan regions. The recent data-driven trend in urban policies has mandated governments to search for and utilize better information gathering and handling techniques in order to measure the impacts of development, change and daily activities on public health. Air quality monitoring is a representative example, where a dense sensory network enables retrieval of real-time pollutant concentration. However, locational configuration of monitoring stations is crucial. This paper reviews methods for station configuration evaluation. The recently installed stationary air-quality urban sensory network in Moscow, Russia is examined with respect to sampling issues.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login