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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Geographical Information Science on 27/04/2016, available online: http://www.tandfonline.com/10.1080/13658816.2016.1179313

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Novel shape indices for vector landscape pattern analysis

Research output: Contribution to journalJournal article

Published

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Novel shape indices for vector landscape pattern analysis. / Zhang, Ce; Atkinson, Peter Michael.

In: International Journal of Geographical Information Science, Vol. 30, No. 12, 12.2016, p. 2442-2461.

Research output: Contribution to journalJournal article

Harvard

Zhang, C & Atkinson, PM 2016, 'Novel shape indices for vector landscape pattern analysis', International Journal of Geographical Information Science, vol. 30, no. 12, pp. 2442-2461. https://doi.org/10.1080/13658816.2016.1179313

APA

Zhang, C., & Atkinson, P. M. (2016). Novel shape indices for vector landscape pattern analysis. International Journal of Geographical Information Science, 30(12), 2442-2461. https://doi.org/10.1080/13658816.2016.1179313

Vancouver

Zhang C, Atkinson PM. Novel shape indices for vector landscape pattern analysis. International Journal of Geographical Information Science. 2016 Dec;30(12):2442-2461. https://doi.org/10.1080/13658816.2016.1179313

Author

Zhang, Ce ; Atkinson, Peter Michael. / Novel shape indices for vector landscape pattern analysis. In: International Journal of Geographical Information Science. 2016 ; Vol. 30, No. 12. pp. 2442-2461.

Bibtex

@article{0c84912247d8466f9267b956e6ff7fb2,
title = "Novel shape indices for vector landscape pattern analysis",
abstract = "The formation of an anisotropic landscape is influenced by natural and/or human processes, which can then be inferred on the basis of geometric indices. In this study, two minimal bounding rectangles in consideration of the principles of mechanics (i.e. minimal width bounding (MWB) box and moment bounding (MB) box) were introduced. Based on these boxes, four novel shape indices, namely MBLW (the length-to-width ratio of MB box), PAMBA (area ratio between patch and MB box), PPMBP (perimeter ratio between patch and MB box) and ODI (orientation difference index between MB and MWB boxes), were introduced to capture multiple aspects of landscape features including patch elongation, patch compactness, patch roughness and patch symmetry. Landscape pattern was, thus, quantified by considering both patch directionality and patch shape simultaneously, which is especially suitable for anisotropic landscape analysis. The effectiveness of the new indices were tested with real landscape data consisting of three kinds of saline soil patches (i.e. the elongated shaped slightly saline soil class, the circular or half-moon shaped moderately saline soil, and the large and complex severely saline soil patches). The resulting classification was found to be more accurate and robust than that based on traditional shape complexity indices.",
keywords = "Landscape metrics, anisotropy, moment box, patch elongation, patch symmetry",
author = "Ce Zhang and Atkinson, {Peter Michael}",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Geographical Information Science on 27/04/2016, available online: http://www.tandfonline.com/10.1080/13658816.2016.1179313",
year = "2016",
month = dec
doi = "10.1080/13658816.2016.1179313",
language = "English",
volume = "30",
pages = "2442--2461",
journal = "International Journal of Geographical Information Science",
issn = "1365-8816",
publisher = "Taylor and Francis Ltd.",
number = "12",

}

RIS

TY - JOUR

T1 - Novel shape indices for vector landscape pattern analysis

AU - Zhang, Ce

AU - Atkinson, Peter Michael

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Geographical Information Science on 27/04/2016, available online: http://www.tandfonline.com/10.1080/13658816.2016.1179313

PY - 2016/12

Y1 - 2016/12

N2 - The formation of an anisotropic landscape is influenced by natural and/or human processes, which can then be inferred on the basis of geometric indices. In this study, two minimal bounding rectangles in consideration of the principles of mechanics (i.e. minimal width bounding (MWB) box and moment bounding (MB) box) were introduced. Based on these boxes, four novel shape indices, namely MBLW (the length-to-width ratio of MB box), PAMBA (area ratio between patch and MB box), PPMBP (perimeter ratio between patch and MB box) and ODI (orientation difference index between MB and MWB boxes), were introduced to capture multiple aspects of landscape features including patch elongation, patch compactness, patch roughness and patch symmetry. Landscape pattern was, thus, quantified by considering both patch directionality and patch shape simultaneously, which is especially suitable for anisotropic landscape analysis. The effectiveness of the new indices were tested with real landscape data consisting of three kinds of saline soil patches (i.e. the elongated shaped slightly saline soil class, the circular or half-moon shaped moderately saline soil, and the large and complex severely saline soil patches). The resulting classification was found to be more accurate and robust than that based on traditional shape complexity indices.

AB - The formation of an anisotropic landscape is influenced by natural and/or human processes, which can then be inferred on the basis of geometric indices. In this study, two minimal bounding rectangles in consideration of the principles of mechanics (i.e. minimal width bounding (MWB) box and moment bounding (MB) box) were introduced. Based on these boxes, four novel shape indices, namely MBLW (the length-to-width ratio of MB box), PAMBA (area ratio between patch and MB box), PPMBP (perimeter ratio between patch and MB box) and ODI (orientation difference index between MB and MWB boxes), were introduced to capture multiple aspects of landscape features including patch elongation, patch compactness, patch roughness and patch symmetry. Landscape pattern was, thus, quantified by considering both patch directionality and patch shape simultaneously, which is especially suitable for anisotropic landscape analysis. The effectiveness of the new indices were tested with real landscape data consisting of three kinds of saline soil patches (i.e. the elongated shaped slightly saline soil class, the circular or half-moon shaped moderately saline soil, and the large and complex severely saline soil patches). The resulting classification was found to be more accurate and robust than that based on traditional shape complexity indices.

KW - Landscape metrics

KW - anisotropy

KW - moment box

KW - patch elongation

KW - patch symmetry

U2 - 10.1080/13658816.2016.1179313

DO - 10.1080/13658816.2016.1179313

M3 - Journal article

VL - 30

SP - 2442

EP - 2461

JO - International Journal of Geographical Information Science

JF - International Journal of Geographical Information Science

SN - 1365-8816

IS - 12

ER -