Map-Oriented Dashboards Online—From Minor Method to GIScience Trend.
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F24%3A73627862" target="_blank" >RIV/61989592:15310/24:73627862 - isvavai.cz</a>
Výsledek na webu
<a href="https://obd.upol.cz/id_publ/333207749" target="_blank" >https://obd.upol.cz/id_publ/333207749</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-50848-6_3" target="_blank" >10.1007/978-3-031-50848-6_3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Map-Oriented Dashboards Online—From Minor Method to GIScience Trend.
Popis výsledku v původním jazyce
In recent years, dashboards have become very popular. Data providers from various industries discover the benefits of a visualization strategy based on the combination of several methods of expression. Since dashboards allow visualization by graphs, tables, schemes, charts, images, or maps, the combination of interactivity and an online platform provides a unique interface for viewing, understanding, and sharing both spatial and non-spatial data like no other method. This chapter focuses on aspects of map-oriented dashboards available online through the internet platform. As a part of Geographic Information Science (GIScience), they aim to implement geodata in complex relations. That is enabled by various visualization methods, including an overall design and cartographic aspects (point data, choropleth map) and typical mistakes. There is a number of both proprietary and open platforms available on the market (ArcGIS Dashboards, Google Data Studio, Power BI, etc.), which could be combined with different data sources (governments on the European/national/regional level, non-commercial organizations such as WHO, universities, media houses, etc.) to provide information for various topics (COVID-19 pandemic, elections, finances, demography, crisis management, etc.). While users benefit from a visually-oriented and user-friendly interface, developers and publishers must follow cartographic rules to provide the correct and fast interpretation within the multi-visualization data methods. The chapter analyzes and discusses aspects based on an analysis of 51 case studies, supported by knowledge and feedback gained from the real development of a map-oriented dashboard.
Název v anglickém jazyce
Map-Oriented Dashboards Online—From Minor Method to GIScience Trend.
Popis výsledku anglicky
In recent years, dashboards have become very popular. Data providers from various industries discover the benefits of a visualization strategy based on the combination of several methods of expression. Since dashboards allow visualization by graphs, tables, schemes, charts, images, or maps, the combination of interactivity and an online platform provides a unique interface for viewing, understanding, and sharing both spatial and non-spatial data like no other method. This chapter focuses on aspects of map-oriented dashboards available online through the internet platform. As a part of Geographic Information Science (GIScience), they aim to implement geodata in complex relations. That is enabled by various visualization methods, including an overall design and cartographic aspects (point data, choropleth map) and typical mistakes. There is a number of both proprietary and open platforms available on the market (ArcGIS Dashboards, Google Data Studio, Power BI, etc.), which could be combined with different data sources (governments on the European/national/regional level, non-commercial organizations such as WHO, universities, media houses, etc.) to provide information for various topics (COVID-19 pandemic, elections, finances, demography, crisis management, etc.). While users benefit from a visually-oriented and user-friendly interface, developers and publishers must follow cartographic rules to provide the correct and fast interpretation within the multi-visualization data methods. The chapter analyzes and discusses aspects based on an analysis of 51 case studies, supported by knowledge and feedback gained from the real development of a map-oriented dashboard.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Advances in Geoinformatics Technologies
ISBN
978-3-031-50848-6
Počet stran výsledku
25
Strana od-do
33-57
Počet stran knihy
434
Název nakladatele
Springer
Místo vydání
Cham
Kód UT WoS kapitoly
—