The human visual system can reliably identify trends in datasets using various channels of visualization. The success story of visualization in accomplishing core analytical tasks has made it a mainstay in various domains, including the Geographic Information Science (GIS). The core analytical tasks are data exploration, decision making, and predictive analysis. Geospatio-temporal data is ubiquitous, and as the data grows in complexity and size; analytical tasks become more complex too. In the times of geospatial big data, geovisual analytics has begun to gain traction. In this paper, we give a brief overview of geovisualizations, discuss geovisual analytics through a case study, and list out some of the persistent challenges in geovisual representation and analysis.