Graphical Images in research

GRAPHICAL IMAGES

The use of graphical images enhances understanding of concepts andinter-related topics in research

Understanding ofconcepts, when reading or studying, is enhanced through the use ofillustrative visual methods besides the use of words. According toUrsyn, A. (2012), the connection between various subjects or topicscan be effectively illustrated by visualizing the connection andprocesses associated with the connection. Graphical images usuallyuse processes their products to provide inspiration of creation ofits meaningfulness. Interrelated concepts are connected by common orlinking processes and products and hence the use of such processesand products in research is important for creating memory (DiMaggioD. 2012).

Art creationenhances one`s understanding and memory of data framework andstructure and thus helping to synthesize the relationships existingbetween processes and concepts. For example, in schools and colleges,images are used in illustrating the connection between variousdisciplines such as biology, mathematics, chemistry, agriculture,engineering, industry, etc. When explaining the connection orinterconnected of the topics, let’s say, between chemistry,agriculture and chemistry, the teacher of lecturer may use circles offlow charts. They have proven to enhance memory and understanding inlearner’s ad researchers. Research involves the study of a givenphenomenon and images can effectively explain the relationships andreason for various concepts. Thomas B. et al. (2013) describes theimportance of images especially photographs in studying ofgeographical features and their implications. It is believed thatgraphical images communicate better than words.

References

Charles D. (2012), SAS for Epidemiologists, retrieved fromhttp://link.springer.com/chapter/10.1007/978-1-4614-4854-9_1#page-2on 27 October 2015

Thomas B. (2013), Geographic Object-Based Image Analysis – Towardsa new paradigm, ISPRS Journal of Photogrammetry and Remote Sensing,Volume 87, January 2014, Pages 180–191.

Ursyn, A. (2012).&nbspBiologically-inspired computing for thearts: Scientific data through graphics. Hershey, PA: InformationScience Reference.

Ware, C. (2012).&nbspInformation visualization: Perception fordesign. Boston: Morgan Kaufmann.