Using different mapping techniques and GIS programs in the analysis and visualisation of mental maps

Abstract

The paper presents the review of mapping techniques applied in research using mental maps. The review covers both evaluative and structural mapping. The choice of a method is influenced by the level of freedom given to the respondents while creating sketch maps. It is also highly affected by the area of a given region, scale used in the research and limitations of mapping techniques in GIS software. For large scale maps created in GIS software, it is possible to use quantitative methods, i.e. proportional symbol maps or quantitative signature symbols. Using multiple complementary mapping techniques allows to draw the most comprehensive conclusions in the analyses of perception of a given space in the society.

Tell me where you are and I’ll tell you what you learn. Investigating hidden curricula using GIS analysis of place names in a case study of an English language textbook published in Japan

“…Alterna tively, we can simply investigate the spatial dimension of processes or phenomena by supplementing a corpus with geographical information, thus creating a geocorpus (Alves & Queiroz, 2015;Caquard, 2013;Smail et al, 2019). Finally, space, particularly presented on a map and culture have enjoyed attention by both cartographers (Cartwright, 2009;Har ley, 1989) and researchers studying cultures (Barcz & Waclawik, 2022;Hauberman, 2016;Szombara, 2021) There are, however, few studies, in which the pages of the source are treated as a plane for analysing spatial information such as topo logical relationships between types of content. One example particularly interesting from the perspective of this study is the Polish applica tion developed by the Institute of History of the Polish Academy of Science (PAS) -INDEXR (https://atlas.ihpan.edu.pl/indxr/app/appoz_ kalisz_gr_31_pub/index.php), where historical sources are tagged for the place names they refer to and are presented both on the map and the pages of the books (Borek et al, 2020).…”

Visual Knowledge Graph Construction of Self-directed Learning Ability Driven by Interdisciplinary Projects

“…The analysis results based on data features and historical timelines help define the relationships between different data units and describe the OWL language model's hierarchical structure and conceptual connotations. Properties and data attributes defining the relationships between the concepts of the historical timeline of characters complete the character timeline resource description system (Szombara, 2021). An ontological model for the knowledge of historical personality chronicles is introduced and justified.…”