Potential field data contain unwanted noises due to many variable factors during the data acquisition. A common approach to minimise these noises is to smooth the data using various approaches. Traditionally, data smoothing is carried out using separate programs based on different mathematical models. The adaptive spatial data processing system (ASDPS) provides a new way in processing potential field data in spatial domain. ASDPS not only can be implemented as a unique user interface for either selecting an implemented method or defining a new method without recoding and recompilation, but also supports parallel processing in a multithreaded computing environment. This paper presents applications of ASDPS to gravity and magnetic data processing for both reducing the survey noises contained in the original data and carrying out easy data transformations for different purposes.