Spatial information often deals with regions which are vague or incompletely determined. Understanding vagueness, indeterminacy and imprecision are the most important in GIS. Smarandache's neutrosophic set is a computational method to tackle problems involving incomplete, innite and reliable data. The denition of soft sets was introduced by Molodtsov as a new mathematical method to tackle uncertainty. Maji presented the Neutrosophic Soft Set theory. This paper provides concepts of a neurtrosophic soft spatial region for its possible application in GIS. The notions of neutrosophic soft -open, neutrosophic soft pre-open, neutrosophic soft semi-open and neutrosophic soft B-open sets are introduced.