Close-up of the SpatialKey Analyst Advanced styling panel for point visualization. The panel shows Color by: TIV 2025 (numeric), with “Highest values on top” enabled, a size slider set to 8px, and shape options displayed. A color palette is shown below, followed by Bins: 4 and Bin Ranges set to Auto, with four automatically generated value ranges listed from highest to lowest (≥ 583.2 M down to < 75.33 M), each represented by a different color.

SpatialKey offers many ways to visualize your data, and color settings play a major role in how those visualizations come to life. Find the color settings by clicking “Advanced” on any layer in your dashboard.

SpatialKey uses two primary methods to color your data, depending on the type of data you import: numeric values (such as integers or decimals) or strings.

Here’s what we’ll cover:

Numeric Data

Numeric data is typically colored using binning, which groups points or shapes into value ranges (see Heatmap Gradient for the exception to this approach). Each point or shape is assigned to a color “bin” that represents its value range, helping you easily spot similarities and differences in your data across locations. SpatialKey can automatically distribute your data into 2-9 bins using a built‑in algorithm, or you can manually define the bin ranges—or even change the number of bins—to suit your needs.

Whichever method you chose, you can select a predefined color scheme for the bins or select custom colors for each bin by clicking the last color swatch with the “+” icon.

Note: For point visualizations and graduated circles, you can choose to color all locations using a single color instead of multiple bins.

Red Orange Yellow Green Dk Blue Blue Purple Magenta Brown Black Gray Custom
Color Palette Options for Numeric Point, Graduated Circle and Thematic Visualization

When using an automatic binning method, binning is done based on the values associated with only the points or polygons that are in the current visible extent of the map.  This means as you pan or zoom the map, the color an any specific point or polygon may change as the overall set of visible locations has changed.  For example, if you were looking at a dataset of average real estate sale prices by county, the value for a specific county might be relatively low when looking at the data nationwide (and placed in a “low” bin), but relatively high when looking at just a portion of a state (and placed in a “high” bin).  This dynamic binning based on the visible extent of the map is generally a huge advantage over traditional static tile maps because this allows you to make better visual comparisons of the locations you are viewing.  However, you can always “lock” the bin ranges to prevent this behavior by switching to manual binning mode.

Automatic Binning Methods

By default SpatialKey uses the Natural Breaks binning method. Natural Breaks uses an algorithm (referred to as the Jenks Optimization) to automatically determine logical breaks in your data.  

A map-based analytics interface showing a satellite view of a coastal region with numerous colored point markers representing individual locations. The points use a thematic visualization with colors assigned using an automatic binning method, indicated by the color legend. An Advanced settings panel on the left displays the bin ranges set to automatic, with an arrow highlighting the bin range section where the automatic binning method is applied. A data and filters panel with a table of location records appears on the right.
Automatic Binning

Custom (Manual) Binning

You can use Custom binning to lock the ranges that have been set using an automatic binning method so that they don’t get re-computed based on changes the range of values visible on the map.  Ranges for the bins can also be overwritten manually.  With Custom binning selected, the ranges for these bins won’t change as you pan and zoom the map, or change data in your filters.

A map-based analytics interface showing a satellite view of a coastal region with numerous colored point markers representing individual locations. The points are displayed using a thematic visualization with custom binning, where custom bin ranges have been defined. An Advanced settings panel on the left shows the bin ranges set to ‘Custom,’ with an arrow highlighting the bin range controls where manual thresholds are specified. A data and filters panel with a table of location records appears on the right.
Custom Binning

Heatmap Gradient

Heatmap is the only visualization type that does not use bins for numeric values. Instead, it applies a continuous gradient color palette to smoothly represent changes in values across the map.

Red Orange Yellow Green Dk Blue Blue Purple Magenta Brown Black Gray Custom
Color Palette Options for Numeric Heatmap Visualization

Image of the SpatialKey Analyst interface displaying a heatmap gradient visualization over Florida. The Advanced panel on the left shows Color by: TIV 2025 with Sum selected and a radius slider applied, indicating aggregated values driving the heatmap. On the map, smooth color gradients transition from yellow to orange to red, highlighting areas of higher concentration around major cities such as Jacksonville, Orlando, Tampa, and South Florida, illustrating continuous intensity rather than discrete bins.
Heatmap gradient example

String Data

String data is colored using unique values, which group points or shapes into categories based on the selected column’s labels. Each category is assigned a distinct color, making patterns and differences across locations easy to identify. Colors are assigned automatically by SpatialKey, but you can customize them if needed.

The ability to color by string columns is limited to individual point visualizations because the other visualization types—such as heatmaps, graduated circles, and thematic boundaries—rely on aggregate or continuous ranges of data.

Image of the SpatialKey Analyst interface showing a map of Florida filled with color-coded location pins. The Advanced styling panel on the left is highlighted, focusing on Color by: Construction, with categorical Bins displayed below for Wood, Masonry, Reinforced Masonry, Steel Frame, and Reinforced Concrete, each shown with a distinct color. Pink outlines emphasize the Color by field and the Bins legend, indicating that locations on the map are symbolized by construction type rather than numeric ranges.
Example of a dataset colored by the unique values of a string column, “Construction”.

Custom Color Picker

Close-up of the SpatialKey Analyst Bins color editor for the “Wood” category. A color picker is open, showing an orange color selection with a gradient palette, hue slider, and an orange preview swatch. The HEX value #F66213 is displayed below, indicating the custom color assigned to the Wood bin.

The color picker gives you several ways to choose and customize a color.

Main Color Section Area (Large Gradient Box)

  • The large square gradient lets you refine the shade and brightness of the currently selected hue
  • Left ↔ Right: adjusts saturation (left = more gray, right = more intense color)
  • Top ↔ Bottom: adjusts lightness (top = lighter, bottom = darker)
  • The small circle shows the exact point you’re selecting within the gradient

Hue Slider (Rainbow Bar)

  • The rainbow bar beneath the gradient controls the hue—the base color
  • Dragging the small circle left or right changes the hue (red, orange, green, blue, etc.)
  • The gradient box updates dynamically based on the hue you select

Eyedropper Tool

  • Clicking on the eyedropper icon allows you to pick any on‑screen color
  • After clicking, you can hover anywhere on your screen and click to capture that color into the picker

Color Preview

  • The circle filled with a solid color shows your currently selected color
  • It updates instantly as you move sliders or click in the gradient

RGB, HSL, HEX Field

  • The text box (e.g., #f66213) shows the color value in RGB, HSL or HEX format
  • You can type a new value to jump directly to a specific color
  • The dropdown labeled RGB, HSL or HEX lets you choose other color representations
  • Changing the format converts the displayed color value to the selected format

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