Continuous track analysis (CTA) can depict reticulate evolutionary pat
terns in phylogenetics and biogeography. A reticulate connection impli
es convergence, hybridization, or introgression in an evolutionary gra
ph of taxa and implies dispersal in an evolutionary graph of biogeogra
phic areas. CTA finds graphs that (1) have a minimal number of connect
ions and (2) imply that most character states or taxa have distributio
ns or tracks across taxa or areas (objects) that are continuous, i.e.,
can be traced across the connections among the objects including that
state without traveling through any other objects. Continuous tracks
imply either that character states in phylogenies have unique evolutio
nary origins or that taxa in biogeographic analyses are monophyletic.
Relatively simple graphs usually cannot imply completely continuous tr
acks. Therefore, CTA graphs seek to minimize the number of track fragm
ents, which are locally continuous parts of a track; tracks with more
than one fragment are discontinuous. Minimizing fragments is the same
as minimizing character-state transitions only if there are no reticul
ations. Because hypoi hetical ancestors do little to reduce the number
of fragments, CTA tends to place known taxa or areas at internal node
s. A heuristic algorithm analogous to tree bisection-reconnection is u
sed to find highly parsimonious CTA graphs. In phylogenetic analyses,
CTA employs a special complementary binary coding convention that sere
ndipitously solves the missing characters/missing data problem. Althou
gh the problem of ancestors ''inheriting'' states from hybrid descenda
nts is irrelevant if reticulations merely represent convergence patter
ns, CTA includes an optional algorithm that avoids such instances by e
xplicitly identifying ancestors and descendants. CTA was compared with
standard parsimony analysis using a data set of 17 Neogene species of
North American fossil hipparionine horses. CTA separates the three ma
jor clades and illustrates their convergent features with reticulation
s, whereas standard parsimony analysis groups the three in an unresolv
ed polytomy. CTA also minimizes the number of hypothetical, unsampled
ancestors and lineages.