What is scatter plot and its purpose?

Scatter plots’ primary uses are to observe and show relationships between two numeric variables. The dots in a scatter plot not only report the values of individual data points, but also patterns when the data are taken as a whole. A scatter plot can also be useful for identifying other patterns in data.

How do you analyze a scatter plot?

You interpret a scatterplot by looking for trends in the data as you go from left to right: If the data show an uphill pattern as you move from left to right, this indicates a positive relationship between X and Y. As the X-values increase (move right), the Y-values tend to increase (move up).

What is scatter plot in statistics?

A scatter plot is a set of points plotted on a horizontal and vertical axes. Scatter plots are important in statistics because they can show the extent of correlation, if any, between the values of observed quantities or phenomena (called variables).

How are multispectral spot images used in remote sensing?

Multispectral SPOT image of the same area shown in a previous section, but acquired at a later date. Radiometric and geometric corrections have been done. The image has also been transformed to conform to a certain map projection (UTM projection). This image is displayed without any further enhancement.

What does scatter plot of LandCover data mean?

Scatter Plot of the mean pixel values for each landcover class. In the scatterplot of the class means in the XS3 and XS2 bands, the data points for the non-vegetated landcover classes generally lie on a straight line passing through the origin. This line is called the “soil line”.

How is Mie scattering used in remote sensing?

1. Rayleigh Scattering and Mie scattering: Dr. P. K. Mani Bidhan Chandra Krishi Viswavidyalaya E-mail: [email protected] Website: www.bckv.edu.in 2. Remote Sensing and its Applications in Soil Resource Mapping (ACSS-754) Absorption.

How are thematic maps derived from remote sensing?

The accuracy of the thematic map derived from remote sensing images should be verified by field observation. The spectral features of these Landcover classes can be exhibited in two graphs shown below. The first graph is a plot of the mean pixel values of the XS3 (near infrared) band versus the XS2 (red) band for each class.