@techreport{ citeulike:13234981,
  abstract = {In Estreguil et al. (Environ Modell Softw 52, 176-191, 2014), an integrated modelling framework is proposed to characterise habitat pattern. The modelling approach is there exemplified by deriving a set of twelve indices aggregated into four categories: general landscape composition, habitat morphology, edge interface and connectivity. The easy and reproducible computability is ensured with the integrated use of publicly available software ({GUIDOS} free-download software, Conefor free software) and of newly programmed tools. A statistical analysis is then conducted using classical linear correlation and nonlinear Brownian Distance Correlation (Mastrave free software modelling library) as an alternative to traditional dimensionality-reduction techniques and with an effort towards reusability in other contexts and reproducible research, by means of concise semantic array programming codelets. Here, a reasoned set of materials and methods is presented to complement that proposal. Supplementary tables and figures are provided as well as the dataset of indices used in the analyses, the detailed mathematical formulation of landscape indices and concise semantic array programming codelets to reproduce the statistical computations. This extended version of the supplementary materials of Estreguil et al. (2014) provides a more articulated presentation of the original content with an enriched bibliographic apparatus.},
  author = {Estreguil, Christine and de Rigo, Daniele and Caudullo, Giovanni},
  citeulike-article-id = {13234981},
  citeulike-linkout-0 = {http://mastrave.org/bib/Estreguil_etal_EMSsuppl_2014.pdf},
  keywords = {biodiversity, codelet, connectivity, data-transformation-codelets, data-transformation-modelling, dimensionality-reduction, distance-correlation, environmental-modelling, forest-resources, fragmentation, free-scientific-software, free-software, geospatial-semantic-array-programming, habitat-availability, indices, integrated-modelling, integration-techniques, landscape-modelling, mastrave-modelling-library, non-linearity, nonadditive-measures, nonlinear-correlation, reproducible-research, robust-modelling, semantic-array-programming, spatial-pattern, statistics},
  note = {(Extended version of the supplementary materials as published in Environmental Modelling \& Software 52, 176-191, DOI:10.1016/j.envsoft.2013.10.011)},
  posted-at = {2014-06-20 17:06:13},
  priority = {2},
  title = {Supplementary materials for: a proposal for an integrated modelling framework to characterise habitat pattern},
  url = {http://mastrave.org/bib/Estreguil_etal_EMSsuppl_2014.pdf},
  year = {2014}
}

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A statistical analysis is then conducted using classical linear correlation and nonlinear Brownian Distance Correlation (Mastrave free software modelling library) as an alternative to traditional dimensionality-reduction techniques and with an effort towards reusability in other contexts and reproducible research, by means of concise semantic array programming codelets. Here, a reasoned set of materials and methods is presented to complement that proposal. Supplementary tables and figures are provided as well as the dataset of indices used in the analyses, the detailed mathematical formulation of landscape indices and concise semantic array programming codelets to reproduce the statistical computations. This extended version of the supplementary materials of Estreguil et al. 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