Coincident Visualization of Uncertainty and Value for Point
Symbols

a 2019

Coincident Visualization of Uncertainty and Value for Point Symbols

KUBÍČEK, Petr; Milan KONEČNÝ; Jie SHEN; Zdeněk STACHOŇ; Radim ŠTAMPACH et al.

Základní údaje

Originální název

Coincident Visualization of Uncertainty and Value for Point Symbols

Autoři

KUBÍČEK, Petr; Milan KONEČNÝ; Jie SHEN; Zdeněk STACHOŇ; Radim ŠTAMPACH; Xinqian WU; Lukáš HERMAN; Karel STANĚK a Tomáš ŘEZNÍK

Vydání

Abstracts of the International Cartographic Association, 2019

Další údaje

Jazyk

angličtina

Typ výsledku

Konferenční abstrakt

Obor

10508 Physical geography

Stát vydavatele

Japonsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Abstract

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/19:00110535

Organizační jednotka

Přírodovědecká fakulta

ISSN

DOI

https://doi.org/10.5194/ica-abs-1-194-2019

Klíčová slova anglicky

uncertainty; bivariate visualization; intercultural comparison

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 5. 2020 16:24, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

The issue of uncertainty as a generic phenomenon in the natural world has been at the centre of both the cartographic and GI communities since the beginning of geographic data quality research. In accordance with the development of theoretical aspects of cartographic visualization and methods of uncertainty propagation in models, the generally accepted opinion is that uncertainty has to be presented to users in an unambiguous and understandable way. Despite reasonable amounts of work done in the field of uncertainty visualization methods (MacEachren1992, Leitner and Buttenfield 2000) and the testing of impact of visualization on decision making (Senaratne et al. 2012; Kinkeldy et al. 2015), there is still a wide gap between the uncertainty visualization theory and widely accepted use of uncertainty representation within decision making process. MacEachren et al. (2012), Fabrikant et al. (2010) initiated the discussion towards optimization of uncertainty visualization regarding visual semiotics and use of specific representations of uncertainty within complex mapping compositions and application context. However, their studies left also some open questions to be solved regarding the international audience of users. The presented study focused on two unresolved topics, namely how would users perceive the uncertainty point map signs within a complex map field and what would be the appropriate visualization in case if there is a need to combine value and uncertainty together. Moreover, we performed the testing in two different cultural environments in Brno (Czech Republic, Europe) and Nanjing (China).

Návaznosti

LTACH17002, projekt VaV

Název: Dynamické mapovací metody orientované na řízení rizik a katastrof v éře velkých dat

Citovat

KUBÍČEK, Petr; Milan KONEČNÝ; Jie SHEN; Zdeněk STACHOŇ; Radim ŠTAMPACH; Xinqian WU; Lukáš HERMAN; Karel STANĚK a Tomáš ŘEZNÍK. Coincident Visualization of Uncertainty and Value for Point Symbols. In Abstracts of the International Cartographic Association. 2019. ISSN 2570-2106. Dostupné z: https://doi.org/10.5194/ica-abs-1-194-2019.

@proceedings{1551295,
   author = {Kubíček, Petr and Konečný, Milan and Shen, Jie and Stachoň, Zdeněk and Štampach, Radim and Wu, Xinqian and Herman, Lukáš and Staněk, Karel and Řezník, Tomáš},
   booktitle = {Abstracts of the International Cartographic Association},
   doi = {https://doi.org/10.5194/ica-abs-1-194-2019},
   keywords = {uncertainty; bivariate visualization; intercultural comparison},
   language = {eng},
   title = {Coincident Visualization of Uncertainty and Value for Point Symbols},
   url = {https://www.abstr-int-cartogr-assoc.net/1/194/2019/},
   year = {2019}
}

TY  - CONF
ID  - 1551295
AU  - Kubíček, Petr - Konečný, Milan - Shen, Jie - Stachoň, Zdeněk - Štampach, Radim - Wu, Xinqian - Herman, Lukáš - Staněk, Karel - Řezník, Tomáš
PY  - 2019
TI  - Coincident Visualization of Uncertainty and Value for Point Symbols
KW  - uncertainty
KW  - bivariate visualization
KW  - intercultural comparison
UR  - https://www.abstr-int-cartogr-assoc.net/1/194/2019/
L2  - https://www.abstr-int-cartogr-assoc.net/1/194/2019/
N2  - The issue of uncertainty as a generic phenomenon in the natural world has been at the centre of both the cartographic and GI communities since the beginning of geographic data quality research. In accordance with the development of theoretical aspects of cartographic visualization and methods of uncertainty propagation in models, the generally accepted opinion is that uncertainty has to be presented to users in an unambiguous and understandable way. Despite reasonable amounts of work done in the field of uncertainty visualization methods (MacEachren1992, Leitner and Buttenfield 2000) and the testing of impact of visualization on decision making (Senaratne et al. 2012; Kinkeldy et al. 2015), there is still a wide gap between the uncertainty visualization theory and widely accepted use of uncertainty representation within decision making process. MacEachren et al. (2012), Fabrikant et al. (2010) initiated the discussion towards optimization of uncertainty visualization regarding visual semiotics and use of specific representations of uncertainty within complex mapping compositions and application context. However, their studies left also some open questions to be solved regarding the international audience of users. The presented study focused on two unresolved topics, namely how would users perceive the uncertainty point map signs within a complex map field and what would be the appropriate visualization in case if there is a need to combine value and uncertainty together. Moreover, we performed the testing in two different cultural environments in Brno (Czech Republic, Europe) and Nanjing (China).
ER  -

KUBÍČEK, Petr; Milan KONEČNÝ; Jie SHEN; Zdeněk STACHOŇ; Radim ŠTAMPACH; Xinqian WU; Lukáš HERMAN; Karel STANĚK a Tomáš ŘEZNÍK. Coincident Visualization of Uncertainty and Value for Point Symbols. In \textit{Abstracts of the International Cartographic Association}. 2019. ISSN~2570-2106. Dostupné z: https://doi.org/10.5194/ica-abs-1-194-2019.

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