Generating tile maps

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 no...

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Những tác giả chính: McNeill, G, Hale, S
Định dạng: Conference item
Được phát hành: John Wiley & Sons Ltd 2017
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author McNeill, G
Hale, S
author_facet McNeill, G
Hale, S
author_sort McNeill, G
collection OXFORD
description 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.
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spelling oxford-uuid:058b39b9-be2e-41d1-86b6-8029ca1bb92d2022-03-26T08:57:45ZGenerating tile mapsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:058b39b9-be2e-41d1-86b6-8029ca1bb92dSymplectic Elements at OxfordJohn Wiley & Sons Ltd2017McNeill, GHale, STile 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.
spellingShingle McNeill, G
Hale, S
Generating tile maps
title Generating tile maps
title_full Generating tile maps
title_fullStr Generating tile maps
title_full_unstemmed Generating tile maps
title_short Generating tile maps
title_sort generating tile maps
work_keys_str_mv AT mcneillg generatingtilemaps
AT hales generatingtilemaps