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The upgraded cartographic generalization toolset for the risk management thematic content

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F19%3A00111811" target="_blank" >RIV/00216224:14310/19:00111811 - isvavai.cz</a>

  • Result on the web

    <a href="https://github.com/gis4dis/cg" target="_blank" >https://github.com/gis4dis/cg</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The upgraded cartographic generalization toolset for the risk management thematic content

  • Original language description

    Javascript module, including a concept of set of rules and algorithms for cartographic generalization of point measurements and observations, depending on the characteristics of individual measurements and user preferences. Individual measurements are supplemented with data from a VGI system that allows cross-referencing between measured data and VGI. This upgraded version uses improved rules for aggregating point symbols into both point and area symbols.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

    <a href="/en/project/LTACH17002" target="_blank" >LTACH17002: Dynamic mapping methods oriented to risk and disaster management in the era of big data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    gis4dis/cg

  • Technical parameters

    Prototyp byl testován na českých i čínských datech v obou zemích. Plánuje se je ho nasazení pro další společné projekty s Nanjing Normal University.

  • Economical parameters

    Očekává se usnadnění práce s velkým množstvím dat v případě krizových situací. Software je však využitelný pro zpracování libovolného typu tzv. Big data.

  • Owner IČO

    00216224

  • Owner name

    Masarykova univerzita