Skip to main content

Models and Methods to Represent and Explore Phenomena on GIS

  • Chapter
  • First Online:

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Many models have been developed by experts to compute a specific phenomenon from a set of measures. In France for example the model named Saturne, based on fluid dynamic (CFD), allows to study either the effect of a phenomenon on the environment (such as the pollution on a district) or the effect of the environment on a phenomenon (such as the impact of buildings on the local rising of temperature). These models are of prime importance today. They use and produce geographical information. In this context, we can question the role of GIS and cartography to map phenomena. The first easy diagnostic is that the work flow between measures and the representation of phenomena is sometime weak, even thought all the technology exists today to propose efficient solutions. The other diagnostic is that the representation of phenomena is often limited to a DPM (a digital phenomenon model), inspired by DTM and using DTM format, to overlay the representation of phenomena on the geographical space. But phenomena should be represented in better way: they are not constant in Z, they vary in time, and moreover their impacts depend on the duration and on the subject located in a specific place. In this paper we identify the workflow from the measure to its representation, we identify the necessary information to represent topographical data, a 3D phenomenon (such as noise or chemical pollution) and the effect of phenomena on alive ‘bodies’ (such as a baby, a child, a person working during the night, a person having breathing difficulties, a cat or even a plant). We first propose a data model including the description of phenomena episode, the description of the different ways to represent graphically this phenomenon in quantitative and qualitative ways. Then we propose some graphical solutions that could enrich GIS software to improve our capacity of representing phenomena in 2D or 3D environment. To illustrate our ideas we take the example from the Immanent project in which we were involved.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Al Koas K (2010) GIS-based mapping and statistical analysis of air pollution and mortality in Brisbane. QUT, Australia

    Google Scholar 

  • Boukhechba M (2013) Mise en œuvre d’une architecture logicielle à base de Services web pour la visualisation de données de pollution dans une scène géographique 2D en ligne. Rapport de stage Master Géomatique 2013 – IFSTTAR

    Google Scholar 

  • Cheaib N, Ruas A, Gaborit N (2013) From sensor data to the perception of phenomena: software architecture for online access and offline analysis. In: Proceeding conference ICC, Dresden, Paper no. 166 (10B.2). http://acica.org. ISBN: 978-1-907075-06-3

  • ESRI (2007) GIS for air quality

    Google Scholar 

  • Peuquet DJ (2012) A method for discovery and analysis of temporal patterns in complex space-time event data. In the extended abstracts of the 7th international GIScience 2012 conference, Springer

    Google Scholar 

  • Rude A, Beard K (2012) High-level event detection in spatially distributed time series. In: Proceedings of the 7th international GIScience 2012 conference, Springer, pp 160–172

    Google Scholar 

  • Ung AC, Weber C et al (2001) Air pollution mapping over a city – virtual stations and morphological indicators. In: Proceedings of 10th international symposium “transport and air pollution”, 17–19 September 2001, Boulder

    Google Scholar 

  • Valente J, Amorim JH, Cascao P, Rodrigues V, Borrego C (2012) Children exposure to PM levels in a typical school morning. In usage, usability and utility of 3D city models conference, Nantes

    Google Scholar 

  • Winiarek V, Bocquet M, Duhanyan N, Roustan Y, Saunier O, Mathieu A (2013) Estimation of the caesium-137 source term from the Fukushima Daiichi nuclear power plant using a consistent joint assimilation of air concentration and deposition observations. Atmospheric Environment 82, 268–279 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anne Ruas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ruas, A. (2015). Models and Methods to Represent and Explore Phenomena on GIS. In: Brus, J., Vondrakova, A., Vozenilek, V. (eds) Modern Trends in Cartography. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-07926-4_20

Download citation

Publish with us

Policies and ethics