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Crisis Map Design Considering Map Cognition

Bibliographic Data

ID22033014
AuthorsPing Du (0000-0002-4049-9753, Lanzhou Jiaotong University, corresponding author), Dingkai Li (Lanzhou Jiaotong University), LI Ding-kai (Lanzhou Jiaotong University), Tao Liu (0000-0001-5480-2568, Lanzhou Jiaotong University), Liming Zhang (0000-0003-2551-9047, Lanzhou Jiaotong University), Xiaoxia Yang (0000-0001-7767-9718, Chengdu University of Technology), Yikun Li (0000-0001-7096-1788, Lanzhou Jiaotong University)
Year2021
Volume10
Issue10
Pages692
Publication date2021-10-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10100692
OpenAlexW3205948015
LanguageEN
Citations received3
References cited48

Crisis maps play a significant role in emergency responses. Users are challenged to interpret a map rapidly in emergencies, with limited visual information-processing resources and under time pressure. Therefore, cartographic techniques are required to facilitate their map cognition. In this study, we analyzed the exogenous and endogenous disruptions that users needed to overcome when they were reading maps. The analysis results suggested that cartographers’ taking the stressors into consideration could promote the cognitive fit between cartographers and users, improving map cognition and spatial information supply–demand matching. This paper also elaborates the course of map visual information processing and related graphic variables to visual attention attributes. To improve the users’ map cognition in time-critical emergency situations, crisis map design principles and a methodology were proposed. We developed three fire emergency rescue road maps and performed two evaluations to verify the effectiveness of the principles. Our experiments showed that the principles could effectively facilitate the users’ rapid map perception and proper understanding, by reducing their cognitive load, and could improve the quality of the crisis maps to some extent

Cognition · Cognitive map · Perception · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Psychology · Spatial Cognition and Navigation · Artificial Intelligence

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Unique citing works3
Citations per year0,75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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