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Download And Process Dems In Python

Authors: De Pinho, Bruno;

Download And Process Dems In Python

Abstract

Digital Elevation Models (DEMs) represents a 3D surface model of a terrain. They are how computers store and display topographic maps that, before, were only possible with handmade contours and extensive calculations. DEMs are probably essential for every topic in earth sciences. Understanding the processes that governs the surface of the earth, with today's technology, usually goes through the process of manipulating a DEM at some point. Also, we need a DEM to mask out data over the surface in our resource models or maybe quickly check what's the height on top of Aconcágua. DEM can be in form of `rasters` Triangulated Irregular Network (TIN). In Python, recent modules and technics have made DEM `rasters` very simple to process and that's what we are going to integrate and explore in this post. This is the PART 3 of a series of posts called Integrating & Exploring.

Keywords

gis, dem, maps, python

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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