Preprints (not yet peer-reviewed)

13 downloads
58 views

This paper investigates the use of random forests and spatial random forests (RFsp) for the classification of coastal dune areas along 41km of Lake Michigan’s shoreline using a lidar- derived DEM. Terrain variables across a range of spatial neighborhood scales...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27112v1
27 downloads
85 views

Surface roughness is frequently measured using DEMs to characterize the ruggedness and topographic complexity of landscapes. Roughness maps have been applied in geological mapping, ecological modeling, and other environmental applications. These maps are typically...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27110v1
30 downloads
74 views

Megaflooding generated from Glacial Lake Missoula (GLM) during the late Pleistocene, swept across the Columbia Plateau and Columbia Basin regions of the northwestern U.S., producing the Channeled Scabland, an assemblage of landforms comprising a regional anastomosing...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27107v1
45 downloads
100 views

To answer geomorphological questions at unprecedented spatial and temporal scales, we need to (a) parse terabyte-scale datasets (DEMs), (b) perform millions of model realizations to pinpoint the parameters which govern landscape evolution, and (c) do so with statistical...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27099v1
45 downloads
88 views

Landslides, bifurcations, multi-saddles and remnants of terraces are distinctive landforms. Some points on the surfaces of these objects are degenerate points. This may help us with their automatic recognition and identification. All first-order and second-order...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27097v1
103 downloads
322 views

The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental...

["Animal Behavior","Bioinformatics","Computational Biology","Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.26734v2
1,140 downloads
1,725 views

Random forest and similar Machine Learning techniques are already used to generate spatial predictions, but spatial location of points (geography) is often ignored in the modeling process. Spatial auto-correlation, especially if still existent in the cross-validation...

["Biogeography","Soil Science","Computational Science","Data Mining and Machine Learning","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.26693v3
44 downloads
82 views

Bioinformatics is a highly interdisciplinary field providing applications for scientists from many disciplines. Installing and starting applications on the command-line (CL) is a problem for many scientists, nonetheless, most methods are implemented with a CL interface...

["Bioinformatics","Science and Medical Education","Human-Computer Interaction","Computational Science"]
doi:10.7287/peerj.preprints.27095v1
38 downloads
93 views

Results of a physically-based methodology to delineate morphometrical-morphostructural subdivision of the Western Carpathian region (Central Europe) from DEMs and their derivatives are presented. Previous suitability evaluation of an object-oriented methodology...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27083v1
30 downloads
90 views

Ground deformations are the result of interactions between terrain and various processes. Their identification and monitoring becomes an important step as they can provide insights about Earth’s dynamics or process triggering conditions. This paper aims to show...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27084v1
53 downloads
99 views

The alpine landscape is rugged, dominated by glacial morphogenesis, comprising specific landforms of different sizes and shapes with a marked vertical relief and hierarchical-ordering of the forms. Digital geomorphometric analyses of such a land surface in a high...

["Computational Science","Natural Resource Management","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27078v1
37 downloads
90 views

SRTM1 Digital Elevation Model for many mountain ranges in Romania were processed to provide slope gradient distributions for each 50 m band of altitude. The effects of cirques are seen in an increase in standard deviation of gradient, and a spread in all percentiles,...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27076v1
22 downloads
54 views

Recent production of a new radar-based global DEM by the TanDEM-X space mission has opened new options for geomorphometric analysis across multiple scales providing 0.4 arc second spatial resolution. However, the accuracy and suitability of this data has not been...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27077v1
23 downloads
57 views

SRTM data is still one of the most used data in geosciences for various purposes: geomorphometric analysis, environmental covariate modelling or geomorphic change detection. Although high resolution national/regional DEMs exist, very often accessing them is expensive,...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27074v1
30 downloads
68 views

Incorporation of a physically-based general geomorphological theory directly into the segmentation algorithm is fundamental to physically-based land surface segmentation. Topographical steady state for morphostructural segmentations with five types of elementary...

["Computational Science","Spatial and Geographic Information Science"]
doi:10.7287/peerj.preprints.27075v1
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