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.

Spatio-ecological complexity measures in GRASS GIS / Rocchini, Duccio; Petras, Vaclav; Petrasova, Anna; Chemin, Yann; Ricotta, Carlo; Frigeri, Alessandro; Landa, Martin; Marcantonio, Matteo; Bastin, Lucy; Metz, Markus; Delucchi, Luca; Neteler, Markus. - In: COMPUTERS & GEOSCIENCES. - ISSN 0098-3004. - STAMPA. - 104:(2017), pp. 166-176. [10.1016/j.cageo.2016.05.006]

Spatio-ecological complexity measures in GRASS GIS

Ricotta, Carlo;
2017

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.
2017
free and open source software; remote sensing; spatial complexity; spatial ecology; information systems; computers in earth sciences
01 Pubblicazione su rivista::01a Articolo in rivista
Spatio-ecological complexity measures in GRASS GIS / Rocchini, Duccio; Petras, Vaclav; Petrasova, Anna; Chemin, Yann; Ricotta, Carlo; Frigeri, Alessandro; Landa, Martin; Marcantonio, Matteo; Bastin, Lucy; Metz, Markus; Delucchi, Luca; Neteler, Markus. - In: COMPUTERS & GEOSCIENCES. - ISSN 0098-3004. - STAMPA. - 104:(2017), pp. 166-176. [10.1016/j.cageo.2016.05.006]
File allegati a questo prodotto
File Dimensione Formato  
Rocchini_Spatio-ecological-complexity_2017.pdf

solo utenti autorizzati

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.3 MB
Formato Adobe PDF
1.3 MB Adobe PDF   Contatta l'autore

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/11573/980259
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 7
social impact