Geospatial
The TransitionZero platform utilises a wide variety of geospatial data and allows users to explore thematic data Collection
s. 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.