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Spatial Data

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Data Science for Transport
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Abstract

Transport data is generally about motion through time and space. The previous chapter considered the complexities of representing time – here we will think about space.

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Notes

  1. 1.

    This is a different meaning from the occasional use of “datum” as the singular of the Latin plural “data”.

  2. 2.

    This is somewhat unfortunate because when dealing with (xy) map coordinates we often want to have (horizontal, vertical) ordering. Some tools do violate the ISO standard and use lonlat for this reason. It occurs in pyproj and also if you want to plot spherical coordinates directly as plot(lons, lats). Be careful as this is a common source of bugs!

  3. 3.

    When working with data represented in a vehicle’s own frame of reference, known as “egocentric” coordinates, an emerging standard is x \(=\) “straight ahead”, y \(=\) “left”, ordered as (xy). This can be confusing at first as you will often want to draw plots with x pointing upwards and y to the left, for example, when working with autonomous vehicle simulations.

  4. 4.

    Not to be confused with the unrelated UK electricity distributor, National Grid Plc.

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Correspondence to Charles Fox .

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Fox, C. (2018). Spatial Data. In: Data Science for Transport. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-72953-4_5

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