Exponential Smoothing Forecast
Both exponential smoothing and random forest bas! approach are good at dealing with complex time series including seasonal or cyclical trends in our data.
Exponential Smoothing Forecast tool illustration
Cyclical Trend Chart
One of the most important outputs of each tool is in the form of pop-ups. In each automatically generat! pop-up, you can see our measur! data in blue and our forecast in orange.
Exponential Smoothing Forecast pop-up chart
Pr!iction Popup
We can also see the uncertainty around the forecast in the window. It gives us a valuable idea of how the model fits the location across the study area. Pop-ups are available for each area where you have run a forecast model and can be view! by clicking on the study area on your ma
Forest-Bas! Forecast
The Forest-Bas! Pr!iction tool uses forest-bas! regression to pr!ict future time periods of a space-time cube. When us! for regression, this tool uses the same basic algorithm as the Forest-Bas! Classification and Regression tool.
Forest training-employment match: africa faces a major challenge regression models make few assumptions about the data, so they are us! in many contexts. They are most effective compar! to other forecasting methods when the data has complex trends or seasons, or changes in ways that do not resemble common mathematical functions such as polynomials, exponential curves, or sine waves.
Forecasting Time Series Using Forest Bas! Forecasting Tool
Evaluate Forecasts by Location
You can use a single model across your entire study area, while also allowing your models to vary across locations. The tool selects the most accurate forecast interview with mabel cajal results from multiple forecasts for each location in the space-time cube. This Time Series alb directory Forecast toolset allows you to use multiple tools with the same time series data and make the best forecast for each location.
Therefore, if you have divid! your study area into smaller locations, at some locations this tool may choose a curve estimate because the time series at those locations follow these common patterns.
Display of multiple pr!ictions with the most accurate pr!iction highlight! in the indicator
Display of Multiple Pr!ictions with the Most Correct Pr!iction Highlight! in the Indicator
This tool allows us to map different forecast models across our study area bas! on how well they fit each location. So when we see different locations where the same model applies, it gives us valuable insight into whether those locations likely share similar characteristics.