Structure

Structue i information relecant to how data is stiores that somtime is needed to be exlpiclly statet we have raster and vedtor but also sets (unordered) and lista (ordered= both of which must contain momogenius ellements finaly we also have vector_points vector_lines and vestor_polygons as well as taster continius and raster_categorical-

his is where the payoff happens. When the student calls visualize.map(), the system looks at the MeasurementScale and refuses to generate a bad map.

Scenario: Student tries to map “Soil Type” (Nominal) using a “High-to-Low” Red gradient.

• Current GIS: Draws it. It looks like Soil Type A is “hotter” or “more” than Soil Type B. Misleading.

• semanticGIS:

  • Check: scale is NOMINAL.

  • Check: style is sequential_gradient.

  • Action: Warning: “You are applying a sequential gradient to Nominal data. This implies an order where none exists. Switched to default Qualitative palette (Paired).”

Scenario: Student tries to map “Population” (Ratio) using unique random colors.

• semanticGIS Action: Warning: “You are mapping Ratio data as distinct categories. You lose the magnitude. Switched to default Sequential palette (Viridis).”

The “Aggregation Guardrail”

This handles your aggregate module logic.

Scenario: Student tries to calculate the Mean of an Ordinal field (e.g., “Risk Level: 1, 2, 3, 4, 5”).

• Math: (1+5)/2=3.

• Logic: The “average” of Low Risk and Extreme Risk is not necessarily Medium Risk. The distance between 1 and 2 might be different than 4 and 5.

• semanticGIS:

  • aggregate.summarize(field="Risk", stat="mean")

  • Error: “Statistical Error: You cannot calculate the Mean of Ordinal data. Use Median or Mode.”

Application to Raster

We can map these scales to our previously discussed Raster types:

• RasterCategorical:

  • Subtype: Nominal (Land Use)

  • Subtype: Ordinal (Suitability Raster 1-10)

• RasterContinuous:

  • Subtype: Interval (Temp Surface)

  • Subtype: Ratio (Elevation relative to absolute datum, Slope, Rainfall)

Strategic Verdict