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Mesh: GIS data beyond raster and vector

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Mesh: GIS data beyond raster and vector
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295
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Release Date2019
LanguageEnglish

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Abstract
Most real world features can be presented as vector or raster layers. In open source world, GDAL provides a comprehensive set of tools to interact with such datasets. But vector or raster is not always a suitable description of real world features. Data from oceanography, metrology, hydrology, etc often have multiple components at each location on an irregular structured mesh. A **mesh** can a collection of vertices, edges and faces in 2D or 3D space: - vertices - XY(Z) points (in the layer's coordinate reference system) - edges - connect pairs of vertices - faces - sets of edges forming a closed shape - typically triangles or quadrilaterals (quads), rarely polygons with higher number of vertices ![Example of mesh](https://user-images.githubusercontent.com/193367/38030812-f6c4f174-3299-11e8-91ed-30684ceae715.png) Mesh gives us information about the spatial structure. In addition to the mesh we have **datasets** that assign a value to every vertex. For example, ice cap thickness at particular moment of time. A single file may contain multiple datasets - typically multiple quantities (e.g. water depth, water flow) that may be varying in time.
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