Do the visual complexity algorithms match the generalization process in geographical displays?

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33161849" target="_blank" >RIV/61989592:15310/16:33161849 - isvavai.cz</a>

Result on the web

<a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/375/2016/isprs-archives-XLI-B2-375-2016.pdf" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/375/2016/isprs-archives-XLI-B2-375-2016.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B2-375-2016" target="_blank" >10.5194/isprsarchives-XLI-B2-375-2016</a>

Result language

angličtina

Original language name

Do the visual complexity algorithms match the generalization process in geographical displays?

Original language description

In this study, we first develop a hypothesis that existing quantitative visual complexity measures will overall reflect the level of cartographic generalization, and test this hypothesis. Specifically, to test our hypothesis, we first selected common geovisualization types (i.e., cartographic maps, hybrid maps, satellite images and shaded relief maps) and retrieved examples as provided by Google Maps, OpenStreetMap and SchweizMobil by swisstopo. Selected geovisualizations vary in cartographic design choices, scene contents and different levels of generalization. Following this, we applied one of Rosenholtz et al.'s (2007) visual clutter algorithms to obtain quantitative visual complexity scores for screenshots of the selected maps. We hypothesized that visual complexity should be constant across generalization levels, however, the algorithm suggested that the complexity of small-scale displays (less detailed) is higher than those of large-scale (high detail). We also observed vast differences in visual complexity among maps providers, which we attribute to their varying approaches towards the cartographic design and generalization process. Our efforts will contribute towards creating recommendations as to how the visual complexity algorithms could be optimized for cartographic products, and eventually be utilized as a part of the cartographic design process to assess the visual complexity.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

DE - Earth magnetism, geodesy, geography

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science

ISBN

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ISSN

1682-1750

e-ISSN

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Number of pages

4

Pages from-to

375-378

Publisher name

Copernicus GmbH

Place of publication

Göttingen

Event location

Praha

Event date

Jul 12, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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