Resources allocation plays a crucial role in diverse fields such as urban planning, transportation, environmental management, and emergency response. In most application domains, the allocation of resources is an activity that requires dealing with spatio-temporal data (which implies to distribute resources across a physical or geographic space over time). Spatio-temporal resource allocation, spanning dimensions of time, space, and objects, poses a multifaceted challenge to support the planning activites. The temporal dimension signifies when resources are allocated, and the spatial dimension delineates where resource are (or will be) available.

In this context, visualizations emerge as powerful tools facilitating the identification of spatial disparities and inequalities in resource distribution. Moreover, visualization might be helpful to present simulated data that can predict the use of resources in the future. This capability is pivotal for ensuring fairness and addressing social, economic, or environmental justice concerns. Visualizations enable the pinpointing of underutilized areas or areas requiring adjustments, enhancing overall efficiency. Last but not least, visualization might act as powerful tools to support the communication between the stakeholders actively invoved in planning tasks and informing lay users about the process and the outcomes of activites.

We invite designers, researchers, and practitioners from across a wide range of related areas, interested on the design, development, deployment, and evaluation of spatio-temporal visualizations to submit contributions in the form of a full, short paper or position paper. Typical contributions to this workshop focus on methods, processes, and approaches for designing, building, and testing visualization systems and techniques for spatio-temporal data.

We welcome submissions that address, but are not limited to, the following topics:

• Techniques and methods for visualizing spatio-temporal resource allocation data.
• Case studies showcasing successful applications of spatio-temporal visualization of resources in various domains (urban planning, transportation, healthcare, emergency response, etc.).
• Case studies describing resource allocation data.
• Industrial case studies showcasing the relevance of the study of resource allocation over space and time.
• Integration of diverse resource allocation data sources.
• Novel approaches to handling and representing uncertainty in spatio-temporal resource allocation visualizations.
• Interactive visualization tools and platforms for exploring temporal patterns in resource distribution.
• User-centered design and evaluation of spatio-temporal visualization interfaces.
• Spatial analysis methods within the context of temporal changes in resource allocation.