Enviromental data visualisation using Delaunay triangulation
Mateusz Nowosad
mateusz.nowosad1@gmail.comDepartment of Computer Science, Lublin University of Technology (Poland)
Abstract
Graphical data representation is very helpful when analyzing environmental data. It allows for discovering trends in data and analysis of phenomena occurring in the area. There are many possibilities to represent such values graphically. This article contains visualizations generated using Delauney triangulation to represent data on a map. Strengths and weaknesses, comparative analysis with another solution, performance, and usage suggestions will be presented.
References
J. Lelieveld,Cardiovascular disease burden from ambient air pollution in Europe reassessed using novel hazard ratio functions, Eur Heart J, t. 40, nr 20, s.1590–1596, maj 2019, doi: 10.1093/eurheartj/ehz135.
DOI: https://doi.org/10.1093/eurheartj/ehz135
Google Scholar
D.W. Dockery, C.A. Pope, Acute respiratory effects of particulate air pollution, Annual review of public health, t. 15, nr 1, s. 107–132, 1994.
DOI: https://doi.org/10.1146/annurev.pu.15.050194.000543
Google Scholar
L. Guibas, J. Stolfi, Primitives for the manipulation of general subdivisions and the computation of Voronoi, ACM Trans. Graph., t. 4, nr 2, s. 74–123, kwi. 1985, doi: 10.1145/282918.282923.
DOI: https://doi.org/10.1145/282918.282923
Google Scholar
D. Fichter, What is a mashup, Library Mashups. Exploring new ways to deliver library data. Medford, NJ: Information Today, Inc, 2009.
Google Scholar
V. Subramanian, Pro MERN Stack: Full Stack Web App Development with Mongo, Express, React, and Node. Apress, 2017.
Google Scholar
M. Pieniążek, B. Szejgiec, M. Zych, A. Ajdyn, G. Nowakowska, Graficzna prezentacja danych statystycznych Wykresy, mapy, GIS. Warszawa: Główny Urząd Statystyczny Departament Badań Regionalnych i Środowiska, 2014.
Google Scholar
„Stack Overflow Developer Survey 2020”, Stack Overflow. https://insights.stackoverflow.com/survey/2020/?utm˙source=social-share&utm˙medium=social&utm˙campaign=dev-survey-2020, (udostępniono cze. 25, 2020).
Google Scholar
Authors
Mateusz Nowosadmateusz.nowosad1@gmail.com
Department of Computer Science, Lublin University of Technology Poland
Statistics
Abstract views: 202PDF downloads: 184
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.