Which type of map is typically used to present data distributions with dots, shading and isopleths?

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Data distributions across space are often shown with multiple symbol types to reveal different aspects of the variable. Dots can map density, shading can indicate intensity or categories, and isopleths (contour lines) show smooth gradients of the variable across the landscape. Together, these tools are characteristic of statistical maps, which are built to display how a quantity varies spatially. A topographic map focuses on terrain elevations and relief, not distribution of a variable with these symbols. A cartogram alters geometry to reflect values, rather than portraying density, intensity, or gradients with isopleths. A thematic map centers on a particular theme across areas and may use shading or symbols, but it doesn't inherently combine dot density and isopleths as the primary method. Thus, statistical maps are the best match for presenting data distributions with dots, shading, and isopleths.