@misc{Verstraete_Jӧrg_Statistical_2014,
 author={Verstraete, Jӧrg},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2014},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={In many fields of research where different gridded spatial data needs to be processed, the grids do not align properly. This can be for a multitude of reasons, and it complicates drawing conclusions and further processing the data; it requires one grid to be transformed to rnach the other grid. In this article, we present the first results of a completely new approach to transforming data that are represented in one grid, to have it match a given target grid. The approach uses techniques from artificial intelligence and simulates au intelligent reasoning on how the grid can be transformed, using additionally available information to estimate the underlying distribution. The article describes the algorithm, and results on artificial datasets are discussed.},
 title={Statistical methodology for verification of GHG inventory maps * Appendix 4: A fuzzy rulebase approach to remap gridded spatial data: initial observations},
 type={Text},
 URL={http://www.rcin.org.pl/Content/208708/PDF/RB-2014-09-06.pdf},
}