Paper Info
Title
Spatio-ecological complexity measures in GRASS GIS.
Abstract
Good estimates of ecosystem complexity are essential for a number of ecological tasks: from biodiversity estimation, to forest structure variable retrieval, to feature extraction by edge detection and generation of multifractal surface as neutral models for e.g. feature change assessment. Hence, measuring ecological complexity over space becomes crucial in macroecology and geography. Many geospatial tools have been advocated in spatial ecology to estimate ecosystem complexity and its changes over space and time. Among these tools, free and open source options especially offer opportunities to guarantee the robustness of algorithms and reproducibility. In this paper we will summarize the most straightforward measures of spatial complexity available in the Free and Open Source Software GRASS GIS, relating them to key ecological patterns and processes.
Year
DOI
Venue
2017
10.1016/j.cageo.2016.05.006
Computers & Geosciences
Keywords
Field
DocType
Free and Open Source Software,Remote sensing,Spatial complexity,Spatial ecology
Geospatial analysis,Data mining,Ecology,Macroecology,Computer science,Edge detection,Robustness (computer science),Feature extraction,Spatial ecology,Multifractal system,Ecosystem
Journal
Volume
Issue
ISSN
104
C
0098-3004
Citations 
PageRank 
References 
0
0.34
11
Authors
12
Name
Order
Citations
PageRank
Duccio Rocchini113419.99
Vaclav Petras252.90
Anna Petrasova353.91
Yann Chemin483.98
Carlo Ricotta5656.99
Alessandro Frigeri672.55
Martin Landa7866.19
Matteo Marcantonio882.19
Lucy Bastin916417.19
Markus Metz1012610.98
Luca Delucchi11102.72
markus neteler1224522.13