Technological advances have brought a wealth of new data and analytical approaches to biogeography and macroecology (Graham et al. 2004; Kamilar & Beaudrot 2013). Many of these advances are centered on spatially explicit data analyses enabled by global positioning systems (GPS) and geographic information systems (GIS). In particular, geographic coordinates of species locales can be obtained through field surveys using GPS devices, triangulation with radio-telemetry transmitters, as well as through museum specimens with reliable collection locations (Graham et al. 2004). Although most studies using geographic data from point occurrence have focused on extant primates, there is increasing interest in the distribution of extinct species (Anemone et al. 2011). Known occurrence data of fossil taxa can be similarly acquired with GPS devices upon discovery or via specific and unambiguous descriptions of collection-site locations. In contrast, primate distributions were traditionally defined via range maps based on known or hypothesized occurrences (e.g., Wolfheim 1983). Range maps assume that a species is found throughout its range, when in reality we know that they are replete with gaps because not all terrain is suitable habitat for occupancy. Known localities from geographic point-location data obtained with GPS and GIS technology better represent species distributions and allow for more rigorous spatial and ecological modeling.