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.
Anotace v angličtině
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.
Klíčová slova
GIS Cloud; Google data studio; Geographic visualization; Visualization dimensions
Klíčová slova v angličtině
GIS Cloud; Google data studio; Geographic visualization; Visualization dimensions
Rozsah průvodní práce
56p, 2p. appendix
Jazyk
AN
Anotace
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.
Anotace v angličtině
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.
Klíčová slova
GIS Cloud; Google data studio; Geographic visualization; Visualization dimensions
Klíčová slova v angličtině
GIS Cloud; Google data studio; Geographic visualization; Visualization dimensions
Zásady pro vypracování
The aim of this work is to analyze, describe and evaluate spatial and geographic aspects of Google Cloud Platform. Student will focus on integration with supported tools by the Google Cloud Platform (e.g. Google Data Studio), data import, connection and integration. The main emphasis will be put on visualisation purposes - both general and cartographical methods, parameters, datasets, implementations. Student will analyze the limits and possibilities of Google Cloud Platform for geoinformatic and cartographic use. He will evaluate, quantify and analyze cartographic outputs and spatial visualization by several aspects (cartographical, geoinformatical, user, economic, technical ). Finally, he will design a workflow for spatial data connection and visualisation via Google Cloud Platform. Theoretical knowledge will be supported by pilot study. Based on a suitable dataset and defined workflow, case studies demonstrating the benefits and limits for various topics will be developed.
The student will attach all the collected datasets and all the animations to the thesis in digital form. The student will create a website about the thesis following the rules available on the department?s website and a poster about the diploma thesis in A2 format. The student will submit entire text (text, attachments, poster, outputs, input and output data) in digital form on a storage medium and the text of the thesis in two bound copies to the secretary of the department.
Zásady pro vypracování
The aim of this work is to analyze, describe and evaluate spatial and geographic aspects of Google Cloud Platform. Student will focus on integration with supported tools by the Google Cloud Platform (e.g. Google Data Studio), data import, connection and integration. The main emphasis will be put on visualisation purposes - both general and cartographical methods, parameters, datasets, implementations. Student will analyze the limits and possibilities of Google Cloud Platform for geoinformatic and cartographic use. He will evaluate, quantify and analyze cartographic outputs and spatial visualization by several aspects (cartographical, geoinformatical, user, economic, technical ). Finally, he will design a workflow for spatial data connection and visualisation via Google Cloud Platform. Theoretical knowledge will be supported by pilot study. Based on a suitable dataset and defined workflow, case studies demonstrating the benefits and limits for various topics will be developed.
The student will attach all the collected datasets and all the animations to the thesis in digital form. The student will create a website about the thesis following the rules available on the department?s website and a poster about the diploma thesis in A2 format. The student will submit entire text (text, attachments, poster, outputs, input and output data) in digital form on a storage medium and the text of the thesis in two bound copies to the secretary of the department.
Seznam doporučené literatury
Google Cloud Platform [online]. Available at URL: https://cloud.google.com/gcp/ Google Data Studio [online]. Available at URL: https://datastudio.google.com/ Hamlin Ch. (2020). Use Google Maps to get a greater understanding of your Ecommerce geographic data in Google Data Studio. Kraak M.J., Brown A. (2003). Web Cartography: Developments and Prospects. Muehlenhaus I. (2013). Web Cartography: Map Design for Interactive and Mobile Devices. Snipes, G. (2018). Google Data Studio. Journal of Librarianship and Scholarly Communication, 6.
Seznam doporučené literatury
Google Cloud Platform [online]. Available at URL: https://cloud.google.com/gcp/ Google Data Studio [online]. Available at URL: https://datastudio.google.com/ Hamlin Ch. (2020). Use Google Maps to get a greater understanding of your Ecommerce geographic data in Google Data Studio. Kraak M.J., Brown A. (2003). Web Cartography: Developments and Prospects. Muehlenhaus I. (2013). Web Cartography: Map Design for Interactive and Mobile Devices. Snipes, G. (2018). Google Data Studio. Journal of Librarianship and Scholarly Communication, 6.
Přílohy volně vložené
USB Pendrive, Poster
Přílohy vázané v práci
ilustrace, mapy, grafy
Převzato z knihovny
Ano
Plný text práce
Přílohy
Posudek(y) oponenta
Hodnocení vedoucího
Záznam průběhu obhajoby
At the beginning of the master thesis defence, the student explained aims, methods, and results of the diploma thesis to the commission. After the presentation, the reviews were presented from the supervisor, co-supervisor, and opponent. During the discussion following topics were discussed - description of cartographic and GIS aspects of results; choice of methodology; practical usage of results; timeliness of analysed data
Exam:
- aspects of 3D maps; difference between 2D/3D cartography; 3D cartography; symbology of tacticle maps;
- methods for generating surface; prepocessing steps for image analyses