Statistical Analysis of Urban Heat Island: A Case Study in Bandung, Indonesia

The scarcity of data to observe microclimate caused by Urban Heat Island (UHI) is exhaustive with variation observation method as a consideration in urban planning. Remote sensing, as the main measurement tool to spatial analytics, is a common approach with lack of time resolution in micro-spatial. Likewise, the historical weather data aims to describe the temperature in general. As an alternative, the mobile transect method can be used to obtain air temperature directly as it feels human at a specific hour and route, however, it requires a lot of resources. Another method using fixed station is a way to measure temperature and humidity along with air temperature too. The last method is convenience with its requirements such as compact, simple and easy to install, cost-effective, efficient power, and real-time. In addition, this method is available with an affordable price so that it is possible to install many sensors. This research aims to show how the fixed station can be used to observe UHI by collecting temperature and humidity data every minute. The collected data was analyzed using Pearson correlation among the data; from fixed station, BMKG (Meteorology, Climatology, and Geophysical Agency), and OpenWeatherMap. The result showed there is a high correlation between our two telemetry sensors and BMKG (0.87 and 0.88). The tendency of skewness and kurtosis at certain hours showed the variation in describing the condition of the surrounding hot spots. Furthermore, it explained the consequences of anthropogenic, such as vehicle density.