All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Visualisation of ecotones in agricultural landscapes using spatial data quality elements

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visualisation of ecotones in agricultural landscapes using spatial data quality elements

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    FRESENIUS ENVIRONMENTAL BULLETIN

  • ISSN

    1018-4619

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    12A

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

    8806-8816

  • UT code for WoS article

    000455562500018

  • EID of the result in the Scopus database