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Dataset . 2021
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Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Smithsonian figshare
Dataset . 2021
License: CC BY
https://dx.doi.org/10.21942/uv...
Dataset . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.21942/uv...
Dataset . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.21942/uv...
Dataset . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.21942/uv...
Dataset . 2021
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.21942/uv...
Dataset . 2021
License: CC BY
Data sources: Datacite
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Geomorphology model (ArcMap version), input datasets and legend symbology files

Authors: De Jong, Matheus; Sterk, Henk Pieter; Shinneman, Stacy; Seijmonsbergen, Harry; De Jong, Matheus G.G.; Seijmonsbergen, A.C.;

Geomorphology model (ArcMap version), input datasets and legend symbology files

Abstract

Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results: Hierarchical geomorphological mapping in mountainous areas. 2021. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Journal of Maps This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.

We also created an online storymap (https://arcg.is/Xjvy4) of all three tiers for both areas, which scales automatically as the user zooms in and out between scales to show how the data are dynamically visualized in a GIS.

Country
Netherlands
Keywords

LiDAR, mountain, 610, geomorphology, tiers, GIS, 004, legend, Earth and Environmental Sciences, Information and Computing Sciences, map, Vorarlberg

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selected citations
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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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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