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2020
DOI: 10.1080/15230406.2019.1702102
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Spatial distance and cartographic background complexity in graduated point symbol map-reading task

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Cited by 21 publications
(12 citation statements)
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“…Surveying methods in cartography are studied through: directly supervised surveys, tasks performed in the field by means of mobile devices, direct observation of the user, observation with remote saving of the user's movement and eye-tracking observation (Cybulski 2021;Horbiński et al 2021;Medyńska-Gulij et al 2020;Cybulski 2020). Collecting data by means of online survey constitutes one of the best methods of obtaining subjective information about users' opinions (Horbiński et al 2020).…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Surveying methods in cartography are studied through: directly supervised surveys, tasks performed in the field by means of mobile devices, direct observation of the user, observation with remote saving of the user's movement and eye-tracking observation (Cybulski 2021;Horbiński et al 2021;Medyńska-Gulij et al 2020;Cybulski 2020). Collecting data by means of online survey constitutes one of the best methods of obtaining subjective information about users' opinions (Horbiński et al 2020).…”
Section: Related Workmentioning
confidence: 99%
“…Homogenous groups of respondents with the suitable number of users are usually invited to participate in surveys (Wielebski and Medyńska-Gulij 2019). In studies devoted to multimedia cartography the number of respondents oscillates between 20 and 100 for surveys on the evaluation of a single map version (Medyńska-Gulij et al 2020), which increases to the significantly higher number for several map versions (Cybulski and Horbiński 2020;Cybulski 2020).…”
Section: Related Workmentioning
confidence: 99%
“…The results showed that improving visual hierarchy affected viewing behavior and response time. Studies of similar design were conducted with other types of materials, for example 2D and 3D pie charts [12], cartograms [13], maps of spatial accessibility [14], graduated symbols in relation to spatial distance between them [15] or flow maps [16]. All of these provided empirical evidence valuable for formulating the optimal solution for a particular map type, and guidance on how to refine a selected map type.…”
Section: Informationally Equivalent Visualizationsmentioning
confidence: 99%
“…These techniques are currently lacking and this has prevented a detailed documentation of all visual distance parameters of the study. For instance, there is some evidence in the literature that the spatial distance between symbols impacts the performance of map reading tasks on graduated symbol maps (Cybulski, 2020), and of colour discrimination tasks on choropleth maps (Brychtová and C ¸öltekin, 2017). Measuring spatial distance between symbols on an interactive mobile map is a challenge in its own right and was thus not tackled during this work.…”
Section: Limitations and Future Workmentioning
confidence: 99%