Volume 36, Issue 3
Geo and Space Visualization

Generating Tile Maps

Graham McNeill

Oxford Internet Institute, University of Oxford, UK

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Scott A. Hale

Oxford Internet Institute, University of Oxford, UK

Alan Turing Institute, UK

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First published: 04 July 2017
Citations: 7

Abstract

Tile maps are an important tool in thematic cartography with distinct qualities (and limitations) that distinguish them from better‐known techniques such as choropleths, cartograms and symbol maps. Specifically, tile maps display geographic regions as a grid of identical tiles so large regions do not dominate the viewer's attention and small regions are easily seen. Furthermore, complex data such as time series can be shown on each tile in a consistent format, and the grid layout facilitates comparisons across tiles. Whilst a small number of handcrafted tile maps have become popular, the time‐consuming process of creating new tile maps limits their wider use. To address this issue, we present an algorithm that generates a tile map of the specified type (e.g. square, hexagon, triangle) from raw shape data. Since the ‘best’ tile map depends on the specific geography visualized and the task to be performed, the algorithm generates and ranks multiple tile maps and allows the user to choose the most appropriate. The approach is demonstrated on a range of examples using a prototype browser‐based application.

Number of times cited according to CrossRef: 7

  • The State of the Art in Map‐Like Visualization, Computer Graphics Forum, 10.1111/cgf.14031, 39, 3, (647-674), (2020).
  • Micro diagrams: visualization of categorical point data from location-based social media, Cartography and Geographic Information Science, 10.1080/15230406.2020.1733438, (1-16), (2020).
  • Visualizing Dynamics of Urban Regions Through a Geo‐Semantic Graph‐Based Method, Computer Graphics Forum, 10.1111/cgf.13882, 39, 1, (405-419), (2019).
  • Automatic Generation of Puzzle Tile Maps for Spatial-temporal Data Visualization, Computers & Graphics, 10.1016/j.cag.2019.05.002, (2019).
  • Testing for similarity in area‐based spatial patterns: Alternative methods to Andresen's spatial point pattern test, Transactions in GIS, 10.1111/tgis.12341, 22, 3, (760-774), (2018).
  • Testing for Similarity in Area-Based Spatial Patterns: Alternative Methods to Andresen's Spatial Point Pattern Test, SSRN Electronic Journal, 10.2139/ssrn.3111822, (2018).
  • Mapping the changing residential geography of White British secondary school children in England using visually balanced cartograms and hexograms, Journal of Maps, 10.1080/17445647.2018.1478753, 14, 1, (65-72), (2018).

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