Data Analysis
The ReliefMaps+ platform, enhanced within the framework of the INTERMAPS project, incorporates a series of advanced functionalities for the analysis and visualisation of quantitative, qualitative, and geographical data collected through the platform.
Results can be explored at both the individual and aggregated levels. The platform enables the examination of individual participants' profiles alongside aggregated data, facilitating the combined analysis of quantitative and qualitative information. This perspective supports a nuanced understanding of the data, allowing researchers to identify both general patterns and specific experiential configurations.
Individual Relief Map
The updated version introduces filtering options based on profile categories, enabling researchers to conduct analyses across different interface screens and to compare levels of (dis)comfort, emotions, and overall results across diverse groups. These filtering tools enhance the analytical flexibility of the platform and support comparative research designs.
Findings are displayed through a wide range of visualisation formats that extend beyond the aggregated Relief Map. These include column charts presenting participant profile distributions; boxplots and beeswarm plots illustrating the dispersion and concentration of responses; bar charts representing reported emotions and place classifications; and heatmaps displaying levels of discomfort across places and analytical axes. Together, these visual tools enable deep exploration of the collected data.
Aggregated - individual analysis with beeswarm
Data generated during the mapping stage can be further refined through filters based on profile characteristics, emotional categories, and/or levels of (dis)comfort. Qualitative comments can likewise be filtered by place, emotion, and discomfort level, and searched using specific keywords. For extended or external analysis, datasets can be exported in Excel format.
By enabling the integrated analysis of qualitative, quantitative, and geographical data within a single digital environment, the platform advances the original Relief Maps tool into a comprehensive research infrastructure. In doing so, it consolidates ReliefMaps+ as a robust digital platform for interdisciplinary research on lived experience and spatialised inequalities.