Increased accuracy of geostatistical prediction of nitrogen dioxide in the United Kingdom with secondary data

Lloyd, Christopher D. and Atkinson, Peter M. (2004) Increased accuracy of geostatistical prediction of nitrogen dioxide in the United Kingdom with secondary data. International Journal of Applied Earth Observation and Geoinformation, 5 (4). pp. 293-305. ISSN 0303-2434

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Abstract

Five techniques were used to map nitrogen dioxide (NO2) concentrations in the United Kingdom. The methods used to predict from point data, collected as part of the UK NO2 diffusion tube network, were local linear regression (LR), inverse distance weighting (IDW), ordinary kriging (OK), simple kriging with a locally varying mean (SKlm) and kriging with an external drift (KED). These techniques may be divided into two groups: (i) those that use only a single variable in the prediction process (IDW, OK) and (ii) those that make use of additional variables as a part of prediction (LR, SKlm and KED). Nitrous oxides emission data were used as secondary data with LR, SKlm and KED. It was concluded that SKlm provided the most accurate predictions based on the summary statistics of prediction errors from cross-validation.

Item Type: Journal Article
Journal or Publication Title: International Journal of Applied Earth Observation and Geoinformation
Additional Information: M1 - 4
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2300/2308
Subjects:
Departments: Faculty of Science and Technology
ID Code: 77176
Deposited By: ep_importer_pure
Deposited On: 15 Dec 2015 16:50
Refereed?: Yes
Published?: Published
Last Modified: 22 Jun 2019 07:13
URI: https://eprints.lancs.ac.uk/id/eprint/77176

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