Conditionally autoregressive model for spatial disaggregation of activity data in GHG inventory: Application for agriculture sector in Poland

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/32658 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/32658 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/32658 archive 353 disk0/00/01/18/85 2016-02-10 11:48:51 2021-08-27 17:25:51 2016-02-10 11:48:51 book_section show 1 Horabik-Pyzel J. Charkovska N. Danylo O. 8670 Nahorski Z. Bun R. Conditionally autoregressive model for spatial disaggregation of activity data in GHG inventory: Application for agriculture sector in Poland pub prog_esm 4th International Workshop on Uncertainty in Atmospheric Emissions This report presents a novel approach for allocation of spatially correlated data, such as emission inventories, into finer spatial scales conditional on covariate information observable in a fine grid. Spatial dependence is modelled with the conditional autoregressive structure introduced into a linear model as a random effect. The maximum likelihood approach to inference is employed, and the optimal predictors are developed to assess missing values in a fine grid. The usefulness of the proposed technique is shown for agricultural sector of GHG inventory in Poland. An example of allocation of livestock data (a number of horses) from district to municipality level is analysed. The results indicate that the proposed method outperforms a naive and commonly used approach of proportional distribution. 2015-10 published Systems Research Institute, Polish Academy of Sciences http://www.ibspan.waw.pl/unws2015/index.php?go=presentations 59 public other Warsaw, Poland 25-31 4th International Workshop on Uncertainty in Atmospheric Emissions Cracow, Poland 7-9 October 2015 workshop FALSE 83-894-7557-X Proceedings, 4th International Workshop on Uncertainty in Atmospheric Emissions, 7-9 October 2015, Krakow, Poland FALSE no info:eu-repo/semantics/bookPart