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Visualizatioin of Geographic Data using Google Cloud Platform

  1. Title statementVisualizatioin of Geographic Data using Google Cloud Platform [rukopis] / Bismark Ade
    Additional Variant TitlesVisualization of Geographic Data using Google Cloud Platform
    Personal name Ade, Bismark, (dissertant)
    Translated titleVisualization of Geographic Data using Google Cloud Platform
    Issue data2021
    Phys.des.56p, 2p. appendix : il., mapy, grafy + USB Pendrive, Poster
    NoteOponent Stanislav Popelka
    Ved. práce Rostislav Nétek
    Another responsib. Popelka, Stanislav, 1986- (opponent)
    Nétek, Rostislav, 1985- (thesis advisor)
    Another responsib. Univerzita Palackého v Olomouci. Přírodovědecká fakulta. Katedra geoinformatiky (degree grantor)
    Keywords GIS Cloud * Google data studio * Geographic visualization * Visualization dimensions * GIS Cloud * Google data studio * Geographic visualization * Visualization dimensions
    Form, Genre diplomové práce master's theses
    UDC (043)378.2
    CountryČesko
    Languageangličtina
    Document kindPUBLIKAČNÍ ČINNOST
    TitleMgr.
    Degree programNavazující
    Degree programGeoinformatics and Cartography
    Degreee disciplineGeoinformatics and Cartography
    book

    book

    Kvalifikační práceDownloadedSizedatum zpřístupnění
    00272406-241341236.pdf64.3 MB20.05.2021
    PosudekTyp posudku
    00272406-ved-173134409.pdfPosudek vedoucího
    00272406-opon-269924024.pdfPosudek oponenta
    Ostatní přílohySizePopis
    00272406-other-122515176.txt324 B
    00272406-other-898364838.pdf936.7 KB

    The aim of the thesis is to analyse, describe and evaluate spatial and geographic aspects of Google Cloud Platform. Focus is on integration with supported tools by Google Cloud Platform (e.g. Google Data Studio), Data Import, Connection and Integration. The main emphasis is on visualisation purposes - both general and cartographical methods, parameters, datasets, implementations. The cartographic outputs and spatial visualization were evaluated by several aspects. Finally, a workflow for spatial data connection and visualisation via Google Cloud Platform was designed. Theoretical knowledge was supported by pilot study. Based on a suitable dataset and defined workflow, case studies demonstrating the benefits and limits for various topics were developed.The aim of the thesis is to analyse, describe and evaluate spatial and geographic aspects of Google Cloud Platform. Focus is on integration with supported tools by Google Cloud Platform (e.g. Google Data Studio), Data Import, Connection and Integration. The main emphasis is on visualisation purposes - both general and cartographical methods, parameters, datasets, implementations. The cartographic outputs and spatial visualization were evaluated by several aspects. Finally, a workflow for spatial data connection and visualisation via Google Cloud Platform was designed. Theoretical knowledge was supported by pilot study. Based on a suitable dataset and defined workflow, case studies demonstrating the benefits and limits for various topics were developed.

Number of the records: 1  

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