Data for: A polynomial approximation of the traffic contributions for kriging-based interpolation of urban air quality model

Published: 13 Apr 2018 | Version 1 | DOI: 10.17632/ysmzhz5555.1

Description of this data

This program aims at interpolating the outputs of atmospheric urban dispersion models.
The proposed new geostatistical method enables to distinguish information along and across the roads in the estimation. A set of polynomial drifts with unknown coefficients, inspired by the exponential function, is used as external drift in the kriging.

All the additional informations to run the code can be directly found as comments in the program.

Experiment data files

peer reviewed

This data is associated with the following peer reviewed publication:

A polynomial approximation of the traffic contributions for kriging-based interpolation of urban air quality model

Published in: Environmental Modelling and Software

Latest version

  • Version 1

    2018-04-13

    Published: 2018-04-13

    DOI: 10.17632/ysmzhz5555.1

    Cite this dataset

    Beauchamp, Maxime; Malherbe, Laure; de Fouquet, Chantal; Létinois, Laurent (2018), “Data for: A polynomial approximation of the traffic contributions for kriging-based interpolation of urban air quality model”, Mendeley Data, v1 http://dx.doi.org/10.17632/ysmzhz5555.1

Categories

Geostatistics

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.