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Geospatial

The TransitionZero platform utilises a wide variety of geospatial data and allows users to explore thematic data Collections. A Collection can be either a vector collection or a raster collection.

Vector Collections

Vector collections are thematic groups of Features, each with a set of attributes and a corresponding Geometry. The geometry represents the real-world location of the data as either a point, line, or polygon.

TransitionZero Vector collections include:

  • Administrative and Node geometries: the area the node represents.
  • Exclusive Economic Zones (EEZ): offshore regions by country.
  • Hydrobasins: watershed boundaries and sub-basin delineations.
  • Protected areas: marine and terrestrial areas of conservation.
  • More to come ...

Raster Data

Raster collections are thematic groups of Rasters. Raster data represent geographic data as a matrix of cells, each with a value corresponding to a certain attribute . For example the attribute could be the amount of precipitation observed at the cell location. The value can also represent a category e.g., in land cover raster datasets the cell value will correspond to a label such as urban area, forests, etc. The size of each cell, in real-world units, is known and the resolution. This varies widely across datasets.

TransitionZero Raster collections include:

  • Copernicus Global Land Cover: satellite-derived global land cover classification at 100m resolution
  • More to come ...

Examples

To access a wide variety of geospatial data you can use this Jupyter Notebook on Github.