Overview of Spatial Data Mining Techniques and Spatial Clustering Algorithms

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”

Creating powerful dashboards: Analytics and Data Storytelling

Storytelling is one of the oldest forms of art. Since the very beginning of mankind’s history, storytelling has been the most powerful and communicative way to share information. This particular type of communication differs from reading and writing as in storytelling the result is adjusted according to the audience and ever more to teller’s skills. This means that a fact that that has already happened, or told in case of imaginary stories, is being reproduced in specific way by the teller for specific audience. Thus, the story contains characteristics that improve the transmissibility and successfully share the message in a more efficient way (Smith, 2015).

However, the word “storytelling” is often used in many ways. This article defines the concept of storytelling as a way of transmitting a message in an entertaining and memorable manner. Continue reading “Creating powerful dashboards: Analytics and Data Storytelling”