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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 for this, and it complicates drawing conclusions and further processing the data, requiring one grid to be transformed to match 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 an 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.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.
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Click the link below to view the content.https://www.ibspan.waw.pl/~alex/OZwRCIN/WA777_132833_RB-2013-41_A%20Fuzzy%20Rulebase%20Approach%20to%20Remap%20Gridded%20Spatial%20Data:%20First%20Experiments_content.pdf