Because of inexpensive sensors, ubiquitous tracking devices, and abundant digital storage, by 2019 smarter cities have become platforms for increasing levels of operational monitoring and data capture. Various government agencies and private interests have generated a tremendous database of urban content, which, despite its availability, remains comprehensively inaccessible. How can new emerging MR technologies relate urban big data back to the physical and spatial conditions of the cities to which they relate? This paper examines data-integrated virtual urban environments, identifies their audience, determines their mechatronic configurations, and reviews strengths and limitations of use before presenting an experimental MR technology interface for translating urban data into accessible information.