Official Volition Node Map

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Fsnodemap.jpg

Volition released this map in 1998 as the standard reference for all jump nodes in the FreeSpace Universe. While FS2 adheres to this map for the most part, there are unfortunately numerous conflicts between what is seen here, and what is seen in both games. See Node Inconsistencies for a list of these conflicts.

The systems on this map do not adhere with the stars' positions as seen in the night sky from Earth, nor the relative distances to one another (for those that exist in real life).

Although some systems in the upper right-hand corner of the map are coloured red, the coloration does not appear to indicate possession by hostile powers, as the supposed takeover of nearly all the affected systems does not correspond to any particular period in FreeSpace history.

Duncan MacPherson's Node Map

Duncan MacPherson drew this map during FS1's development. Although many of the in-game details from FS1 are derived from this map, it is not fully compatible with the canonical map.

DuncanMacPhersonNodeMap.png

User-made Node Maps

Several user-made node maps are available. Some of them are simple recreations of the canon node map, while others add non-canon systems to the compendium.

BWO Node Map

In 2006, the Blackwater Operations team released a non-canon nodemap that can be used as a fairly consistent map of the location of non-canon systems such as Tania Australis and Tau Sigma within the Cold Element continuity.

Nodechartdwoutn3.png

CP5670's Starmap

CP5670's node map was based on the official node map, but corrects some of the latter's errors and incorporates the changes made in FS2.

CP5670 starmap.gif

Galemp's Bubble Grid Node Maps

Galemp created several "bubble grid" node maps, each corresponding to numerous periods in FreeSpace history, which aim to be easily readable.

MjnMixael's High-Resolution Node Maps

MjnMixael, creator of Between the Ashes, created high-resolution versions of the official FS1 and FS2 node maps. Both aim to be as faithful to the official node map as possible while producing more readable, higher-resolution images.