Understanding how resources are allocated in a cluster or grid environment can be a daunting task. The number of schedulable processors has increased dramatically, resulting in a greater need for resource allocation analysis tools. This increase comes from hardware developments as well as inter-domain resource sharing. This paper describes a toolset for monitoring the allocation of resources in a high performance computing cluster or grid environment. Specifically, we are interested in monitoring and analyzing the allocation of resources in a batch scheduled universe. The aim is to categorize the data so that it is useful for understanding particular questions about resource allocation.