Clarke, J.

Dykes, J.

Hemsley-Flint, F.

Medyckyj-Scott, D.

Sietinsone, L.

Slingsby, A.

Urwin, T.

Wood, J.

English

City Research Online

Clarke, J., Dykes, J., Hemsley-Flint, F., Medyckyj-Scott, D., Sietinsone, L., Slingsby, A., Urwin, T. & Wood, J. (2010). vizLegends : Re-Imagining Map Legends with Visualization. Paper presented at the GIS Research UK 18th Annual Conference (GISRUK 2010), 14 - 16 Apr 2010, University College London, London, UK.City Research OnlineOriginal citation: Clarke, J., Dykes, J., Hemsley-Flint, F., Medyckyj-Scott, D., Sietinsone, L., Slingsby, A., Urwin, T. & Wood, J. (2010). vizLegends : Re-Imagining Map Legends with Visualization. Paper presented at the GIS Research UK 18th Annual Conference (GISRUK 2010), 14 - 16 Apr 2010, University College London, London, UK.Permanent City Research Online URL: http://openaccess.city.ac.uk/415/ Copyright & reuseCity  University  London has developed City  Research Online  so that  its  users  may access the research outputs of City University London's staff. Copyright © and Moral Rights for this paper are retained by the individual author(s) and/ or other copyright holders. Users may download and/ or print one  copy  of  any  article(s)  in  City  Research  Online  to  facilitate  their  private  study  or  for  non-commercial research. Users may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. All material in City Research Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Versions of researchThe version in City Research Online may differ from the final published version. Users are advised to check the Permanent City Research Online URL above for the status of the paper.EnquiriesIf you have any enquiries about any aspect of City Research Online, or if you wish to make contact  with the author(s) of this paper, please email the team at publications@city.ac.uk.  vizLegends : Re-Imagining Map Legends with Visualization  Jackie Clark2, Jason Dykes1*, Fiona Hemsley-Flint2, David Medyckyj-Scott2, Lasma Sietinsone2, Aidan Slingsby1, Tim Urwin2, Jo Wood1  *corresponding author 1giCentre, Dept. of Information Science, City University London, EC1V 0HB Tel. +44 (0)20 7040 8906  jad7 | a.slingsby | jwo @soi.city.ac.uk 2EDINA National Data Centre, University of Edinburgh, 160 Causewayside, Edinburgh, EH9 1PR Tel. +44 (0)131 650 3302 jackie.clark | fiona.flint | l.sietinsone | t.urwin @ed.ac.uk;  medyckyj-scottd@landcareresearch.co.nz  KEYWORDS: legend, cartography, visualization, design, Digimap service, online web mapping  1. Introduction  UK tertiary education accesses a large and diverse collection of spatial data through EDINA’s Digimap service (Sutton et al., 2007). Digimap clients combine and present data of varying theme, content, scale and format in single maps. Legends are essential in this context but bulky and difficult to navigate if comprehensive. Accordingly we conduct a structured and applied study to explore possibilities for using visualization methods to revisit the map legend. Innovative candidate ‘vizLegend’ designs are developed by re-imagining the legend in a collaborative three-phase process involving requirements, review, rapid prototyping, evaluation and redesign. Phase 1 – ‘Imagination Exercise’: to establish context, exchange ideas and data and develop broad requirements, guidelines from existing practice, themes that inform design and ‘digital wireframes’ to demonstrate possibilities. Phase 2 – ‘Constrained Development’: to evaluate themes and their implementation in digital wireframes, develop more specific requirements and generate focussed ‘digital prototypes’. Phase 3 – ‘Evaluation and Deployment’: to evaluate prototypes, establish user responses and incorporate themes and functionality into Digimap services. 2. Imagination Exercise 2.1 Legend Requirements Requirements were established at a structured one-day workshop. Current and prototype Digimap services were presented and novel InfoVis techniques introduced to stimulate creative thinking.  Formal data collection followed, focussing on three characteristics of legends: i. successes / problems in existing Digimap legends ii. aspirational legend characteristics iii. Digimap legends tasks and functionality  Responses from individual participants were aggregated, ranked and subsequently summarised in graphical tables. Figures 1 & 2 show examples for the final two characteristics. Indicative statements describe each response (or response set). These are ordered from top to bottom by ‘strength of feeling’ established at the workshop. In Figure 1 the numbers show progression through a four-stage hierarchical prioritisation process. In Figure 2 the numbers are rankings as determined through discussion within two groups of participants. Bar length is indicative of the number of times a broad characteristic was expressed individually at the outset in both cases.     Figure 1. Aspirational Legend Characteristics. Figure 2. Tasks and Functionality – ordered response sets from two groups (top and bottom). 2.2 Legend Design Legend design was subsequently informed by a review of 47 sources including cartography texts, journal papers and digital resources. Cartographic text books describe legends as fundamental map components that should include “critical” (Robinson et al., 1995) or “unknown” (Dent, 1990) information that is “not self explanatory” (Slocum et al., 2009). Experimental work shows positive effects of design on performance (Cox, 1976; DeLucia and Hiller, 1982; Aspaas and Lavin, 1989). Guidance on design is very general however, with occasional examples (Slocum et al., 2009) and alternatives (Cuff and Matson, 1982), but few principles, perhaps because it is difficult to generalize between experimental contexts. Six principles for vizLegends were derived from our review: 1. Process design the legend in the manner of a map. The seven controls on map design (Robinson et al., 1995) may be helpful. 2. Selection should not be comprehensive. Include items deemed ‘critical’, ‘unknown’ or ‘not self-explanatory’ to minimise map-legend references. 3. Symbols should relate directly to those mapped, each other (in terms of layout – see below) and the referent. 4. Layout should represent information structure (see ‘Symbols’). Spatialization may be beneficial. 5. Position legends should be encountered before maps – this may vary with task, user, time and data set. 6. Dynamism should facilitate map-legend references and variation of selection, layout, symbolism and position as required (by user, data, task, etc.).   Concepts and approaches documented in the literature that may help achieve these principles include ‘The Active Legend’ (Sieber et al., 2005), bi-directional highlighting (Sieber et al., 2005) and the application of styles (Jolivet et al., 2008, 2009; CloudMade, 2009). Creative thinking, continuous redesign and “vigorous editing” (Brewer, 2005) are deemed to be essential in their application. 2.3 vizLegend Themes These legend requirements and design principles provided impetus for a creative exercise in which a series of broad themes were developed to frame vizLegend ideas. Each theme describes a novel perspective on the legend that may address some of the established requirements through the identified principles. Themes are generic and may be used individually or in combination to guide the development of wireframes or prototypes. They are neither comprehensive nor mutually exclusive. 1. The Map is the Legend The roles of map (spatial representation of geographic setting) and legend (spatial representation of map content and symbolism) are blurred. 2. The Legend as Statistical Graphic A graphical statistical summary of current map content and a query filter for map exploration. 3. The Scale Independent Legend Data integrated seamlessly from multiple sources with conflicts resolved. Sources identifiable but grouped by other characteristics. 4. The Relevant Legend Shows only what is required… as this changes. May apply to various other themes. 5. A Legend of Legends Alternative styles displayed with layout reflecting their relationships. Widely applicable. 6. Map of the Pops Legend items selected and arranged according user community needs. Widely applicable. 7. The Referent is ‘Ground Truth’ Symbols augmented or replaced with (local, community contributed) imagery. User community determines relevance. May be combined with various other themes. 8. My Legend, My Map User controls and saves content, layout and order according to task, knowledge, location, symbolism. Can be considered a subset of theme 4. 2.4 vizLegend Digital Wireframes The themes were used to develop four digital wireframes through which means of addressing the requirements were explored: The Map is the Legend; The Legend as Statistical Graphic – Bar Chart, Matrix Plot, Hierarchy. Each is named according to the dominant theme, but may be influenced by others. Requirements addressed by each wireframe were tabulated: the aspirational characteristics that ‘The Map is the Legend’ wireframe was designed to accommodate are emphasized in Figure 3.  Figure 3. Aspirational Legend Characteristics: ‘The Map is the Legend’.                                          The requirement sets addressed in the wireframe are highlighted in dark grey.   The ‘The Map is the Legend’ digital wireframe (Figure 4) transitions smoothly between alternative combinations of layout and selection with characteristics of themes 1, 4, 5 and 8: • Legend - 1D ordered layout with single case of each feature (Figure 4, left) • Map - 2D spatial layout of all features (centre) • Mapped Legend - 2D spatial layout with single case of each feature at indicative location (right)  Figure 4. The Map is the Legend. Three states: legend, map, mapped legend (left – right). © Crown Copyright/database right 2009. An Ordnance Survey/EDINA supplied service.  The ‘The Legend as Statistical Graphic - Hierarchy’ (Figure 5) uses themes 1 and 2 to show hierarchical bedrock classification through a two-dimensional spatially ordered space-filling treemap (Wood and Dykes, 2008). Bi-directional interactions (Sieber et al., 2005) feature strongly in the wireframe and include zoom / pan to select spatially with legend updated according to map content.   Figure 5. ‘The Legend as Statistical Graphic – Hierarchy’. Geological map in which areas on the legend relate to areas on the map for era (left) and period (right). Legend can be interactively reordered to show attribute, spatial or chronological orders at each level of the attribute hierarchy Geological Map Data © NERC 2009.  3. Feedback and Digital Prototypes The results of the ‘imagination exercise’ generated ideas for enhancements, developments and evaluation. These included an EDINA mock-up of theme 7 with community contributed styles and locally relevant photographs (Figure 6).       Figure 6. ‘The Referent is Ground Truth’. EDINA mock-up. © Crown Copyright/database right 2009. An Ordnance Survey/EDINA supplied service. Additional requirements were also derived following interaction with the digital wireframes: using Strategi; visualizing the Strategi feature hierarchy; extending bidirectional interactions. Two of the digital wireframes were enhanced accordingly. The resultant prototypes are shown in Figures 7 and 8.  4. Conclusion and Ongoing Work Harrower (2003) contends that "Digital and Web cartography fails when we try to reproduce paper maps on-screen" and calls for a creative approach. We show that a structured collaborative design process with rapid iterative development that draws upon real data can result in innovative cartography and candidate solutions that have potential. Our re-imagination exercise identifies various new roles and approaches for legends that may be suitable for Digimap and elsewhere through usable principles, themes and prototypes. These are implementable and can be evaluated. Visualization methods are best communicated through interactive media and evaluated by map users. The vizLegend themes and prototypes will be further investigated by the Digimap user-base and subsequently considered for use in Digimap clients as we evaluate prototypes, establish user responses and consider incorporating themes and functionality into Digimap services.   Figure 7. ‘The Map is the Legend’. Digital prototype with legend items arranged hierarchically (left), styled hierarchically (centre) and styled according to current Digimap convention (right). © Crown Copyright/database right 2009. An Ordnance Survey/EDINA supplied service.     Figure 8. ‘The Legend as Statistical Graphic - Hierarchy’. Digital prototype showing feature hierarchy and occurrences of point, line and area features in national Strategi data set using area and colour (top) and colour (bottom) at national (top) and interactively determined local (bottom) level. Raster backdrops are generalized in the prototype to ensure rapid response. © Crown Copyright/database right 2009. An Ordnance Survey/EDINA supplied service. 5. Acknowledgements EDINA National Data Centre funded this work through its small-scale development budget. Data provided by Ordnance Survey GB and the British Geological Survey. Thanks to EDINA Geodata Services and User Support for contributing to the three vizLegends workshops.   References  Aspaas, H.R. & Lavin, S.J. (1989). Legend Designs for Unclassed, Bivariate, Choropleth Maps. CAGIS, 16(4), 257-268(12). Brewer, C.A. (2005). Designing Better Maps; A Guide for GIS Users, Redlands, CA: ESRI Press, 205pp.   CloudMade (2009). Cloudmade Makes Maps Differently. Available at: http://maps.cloudmade.com/ [Accessed June 7, 2009]. Cox, C.W. (1976). Anchor Effects and the Estimation of  Graduated Circles and Squares. The American Cartographer, 3(1), 65-74.   Cuff, D.J. & Mattson, M.T. (1982). Thematic Maps: Their Design and Production, New York: Methuen, 169pp.  DeLucia, A. & Hiller, D. (1982). Natural legend design for thematic maps. The Cartographic Journal, 19(1), 46-52.   Dent, B.D. (1990). Cartography: Thematic Map Design Second Edition., Dubuque, IA: William C. Brown, 448pp.  Harrower, M. (2003). Tips for Designing Effective Animated Maps. Cartographic Perspectives, 44, 63-65.   Jolivet, L. (2009). Characterizing maps to improve on-demand cartography - the example of European topographic maps. In Proc. GISRUK17. Durham, UK: University of Durham. Jolivet, L. (2008). On-demand map design based on user-oriented specifications. In Proceedings AutoCarto 08. Shepherdstown, WV: CAGIS. Robinson, A.H. et al. (1995). Elements of Cartography Sixth Edition., New York, NY: Wiley, 688pp.   Sieber, R., Schmid, C. & Wiesman, S. (2005). Smart Legend - Smart Atlas. In Proceedings XXII International Cartographic Conference 2005. A Coruna, Spain.  Slocum, T.A. et al. (2009). Thematic Cartography and Geovisualization Third Edition, Upper Saddle River, NJ: Prentice Hall, 576pp. Sutton, E., Medyckyj-Scott, D. & Urwin, T. (2007). The EDINA Digimap Service 10 Years On. The Cartographic Journal, 44(3), 268-275.  Wood, J. & Dykes, J. (2008). Spatially Ordered Treemaps. IEEE Transactions in Visualization & Computer Graphics, 14(6), 1348-1355.  Biographies Jackie Clark is a Web and Graphic Designer at EDINA User Support with industrial experience working with Cadburys and at The Glasgow School of Art and an MA in Product Design from the Royal College of Art. Dr. Jason Dykes is a Senior Lecturer at the giCentre, City University London undertaking applied and theoretical research in, around and between information visualization, interactive analytical cartography and human-centred design. Dr. Fiona Hemsley-Flint is a GIS Technician at EDINA Geodata Services with interests in spatial databases, cartography, web mapping, and web map and data delivery. Dr. David Medyckyj-Scott was Manager of Research and Geodata Services at EDINA until December 2009. He now works for Landcare Research in New Zealand. His interests include geospatial metadata and portals, data sharing, web mapping, interoperability, Spatial Data Infrastructures and e-Research tools. Lasma Sietinsone is a GIS Technician at EDINA Geodata Services with interests in using open source technologies to provide web map and data delivery. Dr. Aidan Slingsby is a Willis Research Fellow at the giCentre at City University London with research interests in designing, implementing and using geovisualization techniques for assessing data quality and variability and for visual data analysis. Tim Urwin is Geospatial Data Manager at EDINA and responsible for the management of the Digimap Service. His interests are in spatial databases, cartography, web mapping and web map  and data delivery. Dr. Jo Wood is a Reader in geographic information at the giCentre at City University London with research interests in geovisualization, terrain modelling and object oriented programming for spatial sciences. 

vizLegends : Re-Imagining Map Legends with Visualization

vizLegends : Re-Imagining Map Legends with Visualization

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