Abstract
This paper presents a research study focused on analyzing the spatial aggregation patterns of urban population within Almaty City, Kazakhstan, using a heat map approach. With the emergence of the Smart City concept, understanding how populations aggregate within urban environments is crucial for effective urban planning and resource allocation. Leveraging geographic data collected from OpenStreetMap (OSM) and actual aggregated data obtained from the telecom operator, hourly loads on city quadrants measuring 500 by 500 meters were analyzed. The Python Folium library was employed to visualize these patterns, providing insights into the distribution of urban population density. By examining the heat map, this research sheds light on the spatial dynamics of population aggregation within Almaty City, offering valuable information for urban planners, policymakers, and researchers working towards the development of smarter and more sustainable cities.