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

Rocchini, D.; Petras, V.; Petrasova, A.; Chemin, Y.; Ricotta, C.; Frigeri, A.; Landa, M.; Metz, M.; Delucchi, L.; Neteler, M.G. (2017). Spatio-ecological complexity measures in GRASS GIS. COMPUTERS & GEOSCIENCES, 104: 166-176. doi: 10.1016/j.cageo.2016.05.006 handle: http://hdl.handle.net/10449/27005

Spatio-ecological complexity measures in GRASS GIS

Rocchini, Duccio
Primo
;
Metz, Markus;Delucchi, Luca;
2017-01-01

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
Free and open source software
Remote sensing
Spatial complexity
Spatial ecology
Settore BIO/07 - ECOLOGIA
2017
Rocchini, D.; Petras, V.; Petrasova, A.; Chemin, Y.; Ricotta, C.; Frigeri, A.; Landa, M.; Metz, M.; Delucchi, L.; Neteler, M.G. (2017). Spatio-ecological complexity measures in GRASS GIS. COMPUTERS & GEOSCIENCES, 104: 166-176. doi: 10.1016/j.cageo.2016.05.006 handle: http://hdl.handle.net/10449/27005
File in questo prodotto:
File Dimensione Formato  
2017 C&G.pdf

solo utenti autorizzati

Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 10.97 MB
Formato Adobe PDF
10.97 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/27005
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 7
social impact