A review of the application of the quad tesseral representation to sup
port spatial reasoning is presented. The principal feature of the repr
esentation is that it linearises multidimensional space, while still p
roviding for the description of individual objects within that space a
nd the relationships that may exist between those objects (in any dire
ction and through any number of dimensions). In addition the represent
ation is supported by an arithmetic which allows the manipulation (tra
nslation etc.) of spatial objects. Consequently, when incorporated int
o a spatial reasoning system, all necessary processing can be implemen
ted as if in only one dimension. This offers two significant advantage
s over more conventional multi-directional approaches to spatial reaso
ning. Firstly, many of the concerns associated with the exponential in
crease in the number or relations that need to be considered (as the n
umber of dimensions under consideration increases) are no longer relev
ant. Secondly, the computational cost of manipulating and comparing sp
atial objects remains static at its one dimensional level, regardless
of the number of dimensions under consideration.