{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T21:18:03Z","timestamp":1771017483227,"version":"3.50.1"},"reference-count":25,"publisher":"University of Toronto Press Inc. (UTPress)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cartographica"],"published-print":{"date-parts":[[2000,3,1]]},"abstract":"<jats:p> Although a number of methods have been proposed for representing uncertainty in spatial information, there has been relatively little testing of how users interpret uncertainty from those methods. Using results of a fuzzy classification of satellite imagery, this study looks at users\u2019 perceptions of a number of different methods for visualization of uncertainty. Both relatively expert and novice users are highly successful at determining classification uncertainty among pixels when shown in greyscale images and histograms, as well as having moderate success with random animations. Viewers considered that although random animation is a good method of showing overall classification uncertainty, greyscale images are a better way to extract specific information. Serial animation was not widely appreciated. In general, the accuracy of answers to specific questions was greatly improved when linked views and ancillary graphic information were available. All the methods examined in this study, in short, were relatively successful, with the exception of serial animation. <\/jats:p>","DOI":"10.3138\/3645-4v22-0m23-3t52","type":"journal-article","created":{"date-parts":[[2007,4,4]],"date-time":"2007-04-04T13:41:41Z","timestamp":1175694101000},"page":"1-14","source":"Crossref","is-referenced-by-count":29,"title":["Evaluating the Perception of Uncertainty in Alternative Visualization Strategies"],"prefix":"10.3138","volume":"37","author":[{"given":"Steve","family":"Blenkinsop","sequence":"first","affiliation":[{"name":"Department of Geography, University of Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pete","family":"Fisher","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Leicester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucy","family":"Bastin","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Nottingham, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo","family":"Wood","sequence":"additional","affiliation":[{"name":"Department of Information Science, City University, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1696","reference":[{"key":"atypb1","volume-title":"Visualizing Uncertainty in Multi-spectral Remotely Sensed Imagery"},{"key":"atypb2","unstructured":"Detecting and Evaluating Errors by Graphic Methods.\" In21933"},{"key":"atypb3","unstructured":"Color Use Guidelines for Mapping and Visualization.\" In12347"},{"key":"atypb4","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1559\/152304088783886810","volume":"15","journal-title":"American Cartographer"},{"key":"atypb5","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/S0098-3004(97)00012-5","volume":"23","journal-title":"Computers & Geosciences"},{"key":"atypb6","unstructured":"Dynamic Maps for Spatial Science: A Unified Approach to Cartographic Visualization17787"},{"key":"atypb7","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/S0098-3004(97)00011-3","volume":"23","journal-title":"Computers & Geosciences"},{"key":"atypb8","first-page":"905","volume":"60","journal-title":"Photogrammic Engineering & Remote Sensing"},{"key":"atypb9","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1559\/152304096782438828","volume":"23","journal-title":"Cartography and Geographic Information Systems"},{"key":"atypb10","unstructured":"FLIERS. 1998. 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