Visualisation of ecotones in agricultural landscapes using spatial data quality elements

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73587442" target="_blank" >RIV/61989592:15310/18:73587442 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Visualisation of ecotones in agricultural landscapes using spatial data quality elements

Popis výsledku v původním jazyce

Spatial variability of ecotones has resulted in problematic modelling, analysis and visualization of these landscape forms. Their spatial variability and fuzzy character cause uncertain and problematic handling in GIScience. Uncertainty of ecotones in the landscape arises from many sources, including complexities inherent to the ecosystems and their disturbance processes. Visualisation is a strong tool for showing results that enables better presentation of data quality if compared to text description. On the other hand, unsophisticated visualisation can be insufficient due to the complexity of the issue of spatial data quality. Based on this statement, it is necessary to visualise also the information about data quality and uncertainty. This paper describes different perspectives of uncertainty and spatial data quality visualisation in the context of modelling the spatial distributions of ecotones. The study is focused on visualization techniques for visualizing ecotones including uncertainty. This approach should contribute to better understanding, assessment and potential spreading of visual information about spatial distribution of ecotones in the landscape. Visualization of spatial uncertainty is still a challenging topic for the cartographic community and many research questions remain unsolved.

Název v anglickém jazyce

Visualisation of ecotones in agricultural landscapes using spatial data quality elements

Popis výsledku anglicky

Spatial variability of ecotones has resulted in problematic modelling, analysis and visualization of these landscape forms. Their spatial variability and fuzzy character cause uncertain and problematic handling in GIScience. Uncertainty of ecotones in the landscape arises from many sources, including complexities inherent to the ecosystems and their disturbance processes. Visualisation is a strong tool for showing results that enables better presentation of data quality if compared to text description. On the other hand, unsophisticated visualisation can be insufficient due to the complexity of the issue of spatial data quality. Based on this statement, it is necessary to visualise also the information about data quality and uncertainty. This paper describes different perspectives of uncertainty and spatial data quality visualisation in the context of modelling the spatial distributions of ecotones. The study is focused on visualization techniques for visualizing ecotones including uncertainty. This approach should contribute to better understanding, assessment and potential spreading of visual information about spatial distribution of ecotones in the landscape. Visualization of spatial uncertainty is still a challenging topic for the cartographic community and many research questions remain unsolved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

FRESENIUS ENVIRONMENTAL BULLETIN

ISSN

1018-4619

e-ISSN

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Svazek periodika

27

Číslo periodika v rámci svazku

12A

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

8806-8816

Kód UT WoS článku

000455562500018

EID výsledku v databázi Scopus

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