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Although all the information is public, it is not easy to find because it is highly disaggregated.
The methodology developed allows the estimation of highly disaggregated multi-pollutant, consistent emissions for a whole country or region.
This paper provides a model for future researchers looking to build a SAM and applies the model to Pakistan, creating a highly disaggregated and updated SAM.
To remove the effects of excess zeros on prediction performance in a highly disaggregated crash prediction model, a bootstrap resampling method is applied.
The reason is that we consider small sample periods of study, as deserved by the unprecedented specificities of the recent economic developments, at the same time that we need information highly disaggregated by regions.
In tier 3, countries use advanced estimation approaches that may involve complex models and highly disaggregated data including detailed maps based on remote sensing as well in-situ measurements.
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Bottom-up approaches consist of models that use input data from highly disaggregate components.
Among these, geographers and natural scientists have taken the lead in developing spatially explicit models of land use change at highly disaggregate scales (i.e. individual land parcels or cells of the landscape).
In terms of management, the education system remains highly centralized and the lack of data, disaggregated by gender, region, wealth quintile, and other indicators, precludes in-depth analysis and comprehensive education sector planning.
Therefore, possibilities of hub differentiation vary – the possibilities vary widely e.g., comparing disaggregated microscopic models with models of macroscopic scale working with highly aggregated data.
Such problems are compounded when flow cytometry is performed on mechanically and enzymatically disaggregated solid tissues or on cultured cells, where subcellular debris, apoptotic or necrotic cells, and highly autofluorescent cells may comprise a substantial proportion of acquired events.
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