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*Not yet released. These are forthcoming changes in the main branch.*
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The new [raster mark](./README.md#raster) generates a raster image from spatial samples. For example, here is a gridded digital elevation model (DEM) of Maungawhau, R’s `volcano` dataset:
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The new [raster mark](./README.md#raster) generates a raster image from spatial samples. For example, here is a gridded digital elevation model of Maungawhau, R’s [`volcano` dataset](./test/data/volcano.json):
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[<imgsrc="./img/volcano.png"width="640"alt="A heatmap of Maungawhau’s topography, showing the circular caldera and surrounding slopes">](https://observablehq.com/@observablehq/plot-raster)
For non-gridded or sparse data, the raster mark implements a variety of spatial interpolation methods to populate the raster grid. The *barycentric* interpolation method, shown below with data from the [Great Britain aeromagnetic survey](https://www.bgs.ac.uk/datasets/gb-aeromagnetic-survey/), uses barycentric coordinates from a Delaunay triangulation of the samples (small black dots).
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[<imgsrc="./img/ca55.png"width="650"alt="A map showing the varying intensity of the magnetic field as periodically observed from an airplane flying in an approximate grid pattern">](https://observablehq.com/@observablehq/plot-raster)
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[<imgsrc="./img/ca55.webp"width="650"alt="A map showing the varying intensity of the magnetic field as periodically observed from an airplane flying in an approximate grid pattern">](https://observablehq.com/@observablehq/plot-raster)
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