Editing Indoor PM2.5 concentration (section)

== Aggregation Semantics ==
Geographic aggregation of indoor PM2.5 concentration data involves synthesizing measurements across spatial units such as buildings, neighborhoods, or broader regions, depending on data availability and monitoring scope. Temporal aggregation is primarily annual mean values, which smooth short-term variability to provide long-term exposure assessments. Cross-signal aggregation may involve integrating indoor PM2.5 data with related environmental signals such as outdoor ambient PM2.5 concentration or indoor combustion smoke exposure indices to better understand combined exposure pathways. Aggregation practices prioritize maintaining representativeness and comparability across datasets.