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Connectivity measures: a review

Kindlmann, Pavel, Burel, Francoise·2008·Landscape Ecology
DOI 10.1007/s10980-008-9245-4
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  • Network-based connectivity statistics are often dependent on an assumed graph-theoretic model and are often computer resource-limited as larger areas are considered.

    “Network-based representations can be analyzed to derive meaningful connectivity statistics [22]–[25], though these are often dependent on an assumed graph-theoretic model (e.g., complete graph, minimum planar graph) [19] and are often computer resource-limited as larger areas are considered [26].”

    From Applying circuit theory for corridor expansion and management at regional scales: tiling, pinch points, and omnidirectional connectivity (2014) · cites this paper as [23]

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Metadata

Authors
Kindlmann, P., & Burel, F.
Venue
Landscape Ecology
Publisher
Springer Science and Business Media LLC
Published
2008-07-31
ISSN
  • 0921-2973
  • 1572-9761
DOI
10.1007/s10980-008-9245-4
Cited by
124
References
0
Language
en
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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