Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation

Kilibarda, Milan; Tadić-Percec, Melita; Hengl, Tomislav; Luković, Jelena; Bajat, Branislav

doi:10.1016/j.spasta.2015.04.005

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2015

Authors

Kilibarda, Milan

Tadić-Percec, Melita

Hengl, Tomislav

Luković, Jelena
Bajat, Branislav

Article (Published version)

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Abstract

This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and

Keywords:

GSOD / MaxEnt / MODIS LST / Spatio-temporal analysis / Daily temperature interpolation / Global space-time kriging model

Source:
Spatial Statistics, 2015, 14, 22-38

Publisher:

Elsevier

Projects:

Studying climate change and its influence on environment: impacts, adaptation and mitigation (RS-43007)
The role and implementation of the national spatial plan and regional development documents in renewal of strategic research, thinking and governance in Serbia (RS-47014)
Croatian Science Foundation 2831
Spatial, environmental, energy and social aspects of developing settlements and climate change - mutual impacts (RS-36035)

DOI: 10.1016/j.spasta.2015.04.005

ISSN: 2211-6753

WoS: 000368912700003

Scopus: 2-s2.0-84947862977

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URI

http://grafar.grf.bg.ac.rs/handle/123456789/695

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GraFar

TY  - JOUR
AU  - Kilibarda, Milan
AU  - Tadić-Percec, Melita
AU  - Hengl, Tomislav
AU  - Luković, Jelena
AU  - Bajat, Branislav
PY  - 2015
UR  - http://grafar.grf.bg.ac.rs/handle/123456789/695
AB  - This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and
PB  - Elsevier
T2  - Spatial Statistics
T1  - Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation
EP  - 38
SP  - 22
VL  - 14
DO  - 10.1016/j.spasta.2015.04.005
ER  -

@article{
author = "Kilibarda, Milan and Tadić-Percec, Melita and Hengl, Tomislav and Luković, Jelena and Bajat, Branislav",
year = "2015",
url = "http://grafar.grf.bg.ac.rs/handle/123456789/695",
abstract = "This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and",
publisher = "Elsevier",
journal = "Spatial Statistics",
title = "Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation",
pages = "38-22",
volume = "14",
doi = "10.1016/j.spasta.2015.04.005"
}

Kilibarda, M., Tadić-Percec, M., Hengl, T., Luković, J.,& Bajat, B. (2015). Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation.
Spatial Statistics
Elsevier., 14, 22-38.
https://doi.org/10.1016/j.spasta.2015.04.005

Kilibarda M, Tadić-Percec M, Hengl T, Luković J, Bajat B. Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation. Spatial Statistics. 2015;14:22-38

Kilibarda Milan, Tadić-Percec Melita, Hengl Tomislav, Luković Jelena, Bajat Branislav, "Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation" Spatial Statistics, 14 (2015):22-38,
https://doi.org/10.1016/j.spasta.2015.04.005 .