Interactive Scatter Plot#
The Interactive Scatter Plot plots two bands against each other — every pixel becomes one point, positioned by its value in the X band (horizontal) and Y band (vertical). Its real power is the two-way link to the image: draw a shape around a cluster of points and the matching pixels light up in the image, so you can discover structure in feature space and instantly see where it lives in the scene.
Open it from a raster view’s Data Analysis ▸ Interactive Scatter Plot menu.
The core idea#
A scatter plot of two bands reveals groupings that a single band can’t: soil, vegetation, water, or a mineral often form distinct clouds of points. Because WISER keeps each point tied to its source pixel, selecting a cloud on the plot highlights those exact pixels back on the image (you can also turn a selection into an ROI for use elsewhere).
Setting up a plot#
At the bottom of the window:
X Axis Band — pick a Dataset and a Band # (the spin box and the band dropdown stay in sync).
Y Axis Band — pick a dataset and band. The X and Y bands may come from two different images.
Render Onto — choose the image whose view should display the highlighted pixels of your selection.
Click Create Plot.
All three datasets (X, Y, and Render Onto) must have the same width and height, since points are matched to pixels by position; mismatched dimensions raise an error. The plot is computed in the background (a loading spinner shows meanwhile), and pixels with NaN values are dropped.
Reading the plot#
By default you get a density scatter plot: instead of drawing millions of overlapping dots, color encodes how many pixels fall on each spot, with a colorbar labeled Number of points per spectral value. Bright/dense regions are common pixel values. Use To Scatter to switch to a plain dot plot, and To Density to switch back. To Scatter is useful for areas that do not have a dense enough pixel population to show up when To Density is selected.
Selecting points#
The plot always has a polygon selector active:
Click to drop vertices around a cluster; finish with a double-click or Enter.
Selected points are outlined on the plot, the point count updates, and the corresponding pixels are drawn on the Render Onto image in your highlight color.
Press Escape or Clear selection to start over.
Controls reference#
The strip just below the toolbar:
N pts — live count of selected points.
Clear selection — remove the polygon and all highlights.
Create ROI from Selection — save the selected pixels as a Region of Interest (named Scatter Plot Selection) for use in other tools.
Color Map — choose the colormap used for the density plot (any Matplotlib colormap; a preview is shown).
Axes Limits — set the X/Y min and max manually, or reset to the data range (with a 10% margin).
To Scatter / To Density — toggle the plot style.
Highlight — pick the color used both to outline selected points and to mark them on the image.
The standard Matplotlib navigation toolbar (pan, zoom, save image) sits above the strip.