Many definitions have been stated in literature for the term of spatial data. One of the simplest definition of spatial data, describes spatial data as “information related to the space occupied by objects” (Kolatch, 2001). Moreover, spatial data can be defined as any structured or unstructured data that refers to a specific location of a certain area. The area could be a two-dimensional or a multidimensional space, as for example the surface of the earth or an imaginary multidimensional space.
In data science and computer science, spatial data differ from ordinary data. Spatial data are stored in databases with spatial extension. In this way, they use specific data types (point, polygon, line, geometry collection etc.), formats and functionalities, according to the capabilities of each database management system. Thus, Spatial Data Mining (SDM) methods differ from those used in mining regular data. Continue reading “Overview of Spatial Data Mining Techniques and Spatial Clustering Algorithms”