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Statistics is easy to apply whereas simulation models enable researchers to forecast future trends as well as test different scenarios.
Disentangling the politics, the author illustrates how the ordering principles have evolved, explains recent dynamics in political processes and provides the groundwork needed to better forecast future trends.
Here, to forecast future trends in species occurrences and richness, we fitted species environment models with temperature data from three climate scenarios and simulated up to a 40% decrease in snow cover duration (SCD 3.
A set of econometric models has been developed to estimate the historical trend of energy demand and GHG emissions in the transport sector during 1989 2007 and to forecast future trends to 2030.
A bottom-up model was developed to estimate the historical oil consumption and CO2 emissions from China's road transport sector between 1997 and 2002 and to forecast future trends in oil consumption and CO2 emissions up to 2030.
Predictors based on long-term research, on the mechanisms underlying ecological relationships, or on modelling approaches can be used to infer information about existing forests and to forecast future trends.
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In this paper, a predictive model based on a variant of the multi-cyclic Hubbert approach is applied to forecast future trend in OPEC oil production.
In order to forecast future trend of the topic, we use the following benchmark methods: Using All, Highest Correlated field, Highest Correlated field plus one.
The above observations motivate our research to discover meaningful topics from documents, and further build models to accurately forecast future trend of the topics.
In order to forecast future trend of each topic, we iterate through the list of discovered topics and refer back to the binary incidence matrix and year dataset to obtain each dimension for a topic vector (as shown in Fig. 1).
In recent years, the economic and political aspects of energy problems have prompted many researchers and analysts to focus their attention on the Hubbert Peak Theory with the aim of forecasting future trends in oil production.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com