Price dispersion (variation) and agglomeration are common characterist
ics of spatial markets, in particular, markets with imperfect consumer
information and search. However, pricing and location strategies in t
hese markets are not well analyzed since spatial search is difficult t
o model without restricting the spatial dimension of the problem. This
paper analyzes pricing and location strategies in a market with spati
al search using a probabilistic modeling strategy that does not restri
ct search patterns in the plane. Specifically, the analysis considers
the pricing strategy of an isolated firm in response to the agglomerat
ion of competing firms. Results indicate that spatial and temporal pri
ce dispersion are effective responses to competitors' agglomeration. H
owever, the relative effectiveness of these strategies varies with mar
ket conditions. In addition, agglomeration can have some counterintuit
ive effects. This paper also provides insights into existing theories
of spatial search and spatial competition in spatially-restricted (lin
ear and circular) markets.