# What does LOESS smoothing mean?

Table of Contents

## What does LOESS smoothing mean?

LOWESS (Locally Weighted Scatterplot Smoothing), sometimes called LOESS (locally weighted smoothing), is a popular tool used in regression analysis that creates a smooth line through a timeplot or scatter plot to help you to see relationship between variables and foresee trends.

## How is LOESS calculated?

The subsets of data used for each weighted least squares fit in LOESS are determined by a nearest neighbors algorithm. A user-specified input to the procedure called the “bandwidth” or “smoothing parameter” determines how much of the data is used to fit each local polynomial.

## What does method LOESS mean?

This is a method for fitting a smooth curve between two variables, or fitting a smooth surface between an outcome and up to four predictor variables. The procedure originated as LOWESS (LOcally WEighted Scatter-plot Smoother).

## What is the difference between LOESS and Lowess?

The main difference with respect to the first is that lowess allows only one predictor, whereas loess can be used to smooth multivariate data into a kind of surface. It also gives you confidence intervals. In these senses, loess is a generalization.

## What is loess used for?

Loess often develops into extremely fertile agricultural soil. It is full of minerals and drains water very well. It is easily tilled, or broken up, for planting seeds. Loess usually erodes very slowly—Chinese farmers have been working the loess around the Yellow River for more than a thousand years.

## What is the importance of loess?

Loess soils are among the most fertile in the world, principally because the abundance of silt particles ensures a good supply of plant-available water, good soil aeration, extensive penetration by plant roots, and easy cultivation and seedbed production.

## What is loess and why is it important?

## Where are loess found?

Extensive loess deposits are found in northern China, the Great Plains of North America, central Europe, and parts of Russia and Kazakhstan. The thickest loess deposits are near the Missouri River in the U.S. state of Iowa and along the Yellow River in China. Loess accumulates, or builds up, at the edges of deserts.

## How are Loess Hills formed?

The story of the Loess Hills of Iowa started more than 25,000 years ago when a large glacier began to retreat from the area. As the glacier melted, water filled the Missouri River valley. When the water level dropped, large amounts of silt were left behind.

## What is the smoothing parameter for the loess fit?

You can see that smoothing parameter value for this loess fit is . This smoothing parameter determines the fraction of the data in each local neighborhood. In this example, there are data points and so the smoothing parameter value of yields local neighborhoods containing 9 observations.

## How many smoothing parameters can be specified in Proc loess?

When you specify a list of smoothing parameters for a model and you have enabled ODS Graphics, PROC LOESS produces a panel containing up to six plots that show the fit obtained for each value of the smoothing parameter that you specify. If you specify more than six smoothing values, then multiple panels are produced.

## How does a loess regression work in SAS?

Loess regression is one of several algorithms in SAS that can automatically choose a smoothing parameter that best fits the data. In SAS, there are two ways to generate a loess curve.

## How to use the loess statement in Proc sgplot?

The LOESS statement in PROC SGPLOT provides only a few frequently used options. In some instances, PROC SGPLOT uses different default values, so it is worthwhile to compare the two statements. Choose a smoothing parameter: In both procedures, you can choose a smoothing parameter by using the SMOOTH= option.