Abstract
Most data in earth sciences are spatially distributed, either as vector data, (points, lines, polygons) or as raster data (gridded topography). Vector data are generated by digitizing map objects such as drainage networks or outlines of lithologic units. Raster data can be obtained directly from a satellite sensor output, but gridded data can also, in most cases, be interpolated from irregularly-distributed field samples (gridding).
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References
Sandwell DT (1987) Biharmonic Spline Interpolation of GEOS-3 and SEASAT Altimeter data. Geophysical Research Letters 2:139–142
Trauth MH (2010) MATLAB Recipes for Earth Sciences – Third Edition. Springer, Berlin Heidelberg New York
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Trauth, M., Sillmann, E. (2013). Visualizing 3D Data in Earth Sciences. In: MATLAB® and Design Recipes for Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32544-1_6
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DOI: https://doi.org/10.1007/978-3-642-32544-1_6
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