View Example
This example maps about 877 relatives of the person labeled "AB" in the map. Some other circles also contain initials, these corresponding to people who contributed information to the database used to generate the map.
Some circles have one or two colors with each color
representing a different genetic marker. Colors filling the circle
(e.g. 
or 
)
indicate particular Y-chromosomes while colors around the
circumference of a circle (e.g. 
or 
)
indicates a particular mitochondiral DNA. Note that the distribution
of these markers is mostly hypothetical and the vast majority of
marked individuals have not been genetically tested.
Because this example is presented as a PNG, the image is static and only a certain amount of information can be presented. See the next example to see how dynamic formats like SVG allow more detailed information to be presented without overwhelming the illustration.
View Example
This example is based on the same dataset used in the previous example, but
this map is in the SVG format. Because SVG supports interactive graphics,
this map can display information in response to user input. In particular,
when a user points at a circle in the map, the name of the person represented by
that circle will appear. At the same time, all circles representing relatives who
should have the same mtDNA will be highlighted with "". Finally, if the circle
represents a male, then all relatives who should have the same Y-chromosome
will be highlighted with "".
Note: Your browswer must support SVG in order to view this example. Try the Adobe SVG Viewer plugin if your browser doesn't yet handle SVG.
View Example
This map was produced from a GEDCOM file which was posted on the web. It describes 1882 ancestors of one individual, and is interesting as an example of how we can visualize very large families.
Some interesting structures are visible in the map, including three or four long lineages which eventually merge into a common set of ancestors. It would be difficult or impossible to discover such interesting structures in such a large GEDCOM file when using typical genealogy charts or software.