A systematic approach and software for the analysis of point patterns on river networks

Autor: Christian Molkenthin, Dirk Scherler, Wolfgang Schwanghart
Přispěvatelé: Molkenthin, Christian, 2 Institute of Mathematics University of Potsdam Potsdam‐Golm Germany, Scherler, Dirk, 3 German Research Centre for Geosciences (GFZ) Earth Surface Geochemistry Potsdam Germany
Rok vydání: 2021
Předmět:
bepress|Physical Sciences and Mathematics
010504 meteorology & atmospheric sciences
Computer science
bepress|Physical Sciences and Mathematics|Earth Sciences|Geomorphology
Geography
Planning and Development
bepress|Physical Sciences and Mathematics|Earth Sciences
Fluvial
Point pattern analysis
EarthArXiv|Physical Sciences and Mathematics|Earth Sciences
010502 geochemistry & geophysics
computer.software_genre
01 natural sciences
Point process
beaver dams
fluvial geomorphology
EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Geomorphology
500 Naturwissenschaften und Mathematik::550 Geowissenschaften
Geologie::550 Geowissenschaften
Earth and Planetary Sciences (miscellaneous)
Statistical inference
Point (geometry)
551.483
point processes
0105 earth and related environmental sciences
Earth-Surface Processes
knickpoints
point pattern analysis
Probabilistic logic
Statistical model
EarthArXiv|Physical Sciences and Mathematics
Visualization
Data mining
computer
Zdroj: Earth Surface Processes and Landforms
ISSN: 1096-9837
0197-9337
DOI: 10.1002/esp.5127
Popis: Many geomorphic phenomena such as bank failures, landslide dams, riffle‐pool sequences and knickpoints can be modelled as spatial point processes. However, as the locations of these phenomena are constrained to lie on or alongside rivers, their analysis must account for the geometry and topology of river networks. Here, we introduce a new numeric class in TopoToolbox called Point Pattern on Stream networks (PPS), which supports exploratory analysis, statistical modelling, simulation and visualization of point processes. We present three case studies that aim at inferring processes and factors that control the spatial density of geomorphic phenomena along river networks: analysis of a synthetic dataset of points on a stream network, the analysis of knickpoints in river profiles, and modelling spatial locations of beaver dams based on topographic metrics. The case studies rely on exploratory analysis and statistical inference using inhomogeneous Poisson point processes. Thereby, statistical and probabilistic procedures implemented in PPS provide a systematic approach for treating and quantifying uncertainties. PPS offers a consistent numeric framework for modelling point processes on river networks with a wide range of applications in fluvial geomorphology, but also other disciplines such as ecology.
PPS (Point Pattern on Stream networks) is a new numeric class in TopoToolbox, a software for digital terrain analysis. PPS implements data structures and methods to analyze, model, and visualize events and locations on or alongside stream networks. image
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Databáze: OpenAIRE
Externí odkaz: