Urban transformations involving Nature-Based Solutions (NBS) are increasingly framed not only in terms of ecological performance, but also for their impact on the human experience of space. While robust literature exists on constructs for evaluating the positive effects of nature in laboratory settings, assessing these effects in complex real-world environments requires methods tailored to applied urban contexts. This study presents the pre- and post-occupancy psychological evaluation of a public square in Milan, redesigned through an NBS intervention. The pre-intervention phase employed a mixed-method protocol collecting both physiological and psychological data along an in-situ exploration path, with a particular focus on emotional states and perceived restoration. Following the redesign, a second round of data collection was carried out along the same path to assess post-occupancy responses. Participants' emotional and restorative experiences at specific points of view (POVs) were measured using physiological sensors and an app grounded in Russell's circumplex model and Attention Restoration Theory, integrated with georeferenced data. The results show a general increase in perceived restoration after the intervention. However, the distribution of restorative responses was spatially heterogeneous: while certain POVs elicited notably higher restoration scores, others showed only marginal improvements. Cartographic visualizations of the data were developed to represent the psychological landscape of the site. These maps function as both diagnostic tools and communication instruments: they highlight areas of subjective place experience and offer valuable feedback to urban designers, local stakeholders, and administrators. This visual feedback can support future decisions regarding spatial interventions, maintenance priorities, and community engagement. Overall, this research underscores the value of evidence-based, people-centered methodologies for urban design, including NBS projects. It demonstrates how psychological mapping can inform adaptive design processes and long-term monitoring of spatial transformation outcomes.