The paper explores the informative potential of various distance-based methods of language classification such as cluster analysis, networks, and two-dimensional projections, using lexicostatistical data on 41 languages belonging to seven families (IE, Uralic, Altaic, Yupik-Chukchee, Kartvelian, Semitic, and North Caucasian) represented in the STARLING database. Rooting and weighting are of critical importance, radically affecting the graphic models. Special focus is made on two-dimensional charts generated by the multidimensional scaling and on the little-used minimum spanning tree method. The latter two techniques are employed to test the hybridization/ Sprachbund theory of Indo-European origins. The “Semitic” tendency of IE relative to Uralic is significant whereas neither the “Kartvelian” tendency nor the North Caucasian substratum hypothesis are supported by the two-dimensional models.