## 1 Introduction  
Personal exposure to radiofrequency electromagnetic field (RF-EMF) has substantially increased as new wireless technologies are introduced. Society has become more concerned about the possible effects of RF-EMFs on human health in parallel to this increase in exposure. Although recent studies indicate that the available evidence suggests that acute RF-EMFs below regulatory limits do not cause symptoms, concern about this issue continues to grow in the population [1]. Therefore, in addition to monitoring levels, it is necessary to provide results that allow the population to adequately perceive the risk of exposure to RF-EMFs. Geographical interpolation techniques such as kriging allow for the production of exposure maps that are easily understandable by the general public and therefore contribute to the adequate perception of this risk.  
Measurements of personal exposure to RF-EMF can be made using personal exposure-ters (PEMs) [2], broadband meters (BBMs) [3], or narrowband spectrum analyzers (NBMs). PEMs have been widely used in many different procedures due to their versatility and ease of use, meaning they can be deployed without affecting everyday tasks [4; 5; 6]. They are also highly useful for the characterization of an individual's unique exposure and microenvironments [7]. The characterization of exposure with PEMs provides individualized and detailed temporal and spatial information, but such characterization tasks are costly in terms of time and human resources. A BBM is the optimal solution for recording many measurements across a wide area involving various sources (from various locations) or a single source with various frequencies, because BBMs are not as expensive as narrowband measurement devices, and they give a value of the total electric field at that specific point. BBM measurements are adequate to ensure compliance with legal standards; however, BBMs have the disadvantage of being costly in economic terms compared to PEMs, and it is also impossible to identify signal sources based on their frequency [8].  
The objective of this study is to compare RF-EMF exposure measurements recorded with a broadband meter and a personal exposimeter in order to develop equivalent exposure maps. This study aims to evaluate the feasibility of adjusting personal exposimeter measurements to match those of broadband meters, thereby providing a more accessible and cost-effective methodology for creating exposure maps that assess RF-EMF risks in urban environments.  
The rest of this article is organized as follows. Section 2 describes the equipment and measurement procedures used for data collection, the geographical location of the measurement points taken, and the tools used for their analysis. In Section 3, the measurements taken with the BBM and the PEM are presented, as well as the corrections made with one and two factors and the statistical properties of the ensembles. To find different approximations to the optimal value, an evolutionary algorithm was used. This made it possible to obtain the ranges of variation in the correction factors. The exposure maps generated and the differences between the values generated from the BBM and the PEM, along with their different corrections, are also shown. Finally, Section 4 discusses the limitations of the results and the methodology we employed, and Section 5 presents the conclusions reached.