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Bernardo Niebuhr edited this page Feb 13, 2018 · 14 revisions

Welcome to the LSMetrics wiki!

LandScape Metrics (LSMetrics) is a free and open-source package that calculates landscape connectivity and other ecologically-scaled landscape metrics. It is intended to be used as a tool for environmental research as well as for landscape management, conservation, and restoration. It uses land use or binary class (e.g., habitat/non-habitat) maps to calculate metrics of structural and functional connectivity, edge-based landscape metrics, and landscape diversity indices. It incorporates edge depth and the capacity of organisms on crossing gaps between habitat patches to re-classify and calculate metrics considering the landscape at the perspective of different species and functional groups. Besides, metrics are spatially explicit and may be assessed at multiple scales.

LS Metrics was developed in Python 2.7 and runs within a GRASS GIS environment (currently, GRASS 7.0.x or newer). Here you will find a brief description of the program functionalities so you can quickly use it. We wish to make sure you can easily install GRASS, import your input maps, run LSMetrics and export or use its output in various ways.

If you have suggestions on how to improve this tutorial, feel free to contact us or open an issue.

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Brief description

Using LSMetrics

  1. Downloading LSMetrics

  2. Installing GRASS GIS

  3. Preparation of inputs

  4. Starting

    1. Open a GRASS GIS project
    2. Run LSMetrics

  5. Running LSMetrics through GUI

    1. Single or Multiple maps?
    2. Codes for habitat and Binary maps
    3. Structural connectivity
    4. Functional connectivity
    5. Edge, Habitat, and Core area
    6. Diversity
    7. pids and fids

  6. LSMetrics outputs

    1. Outputs of Structural connectivity
    2. Outputs of Functional connectivity
    3. Outputs of Edge, Habitat, and Core area
    4. Outputs of Diversity
    5. Outputs of pids and fids

  7. PDF manual

Contact us

About LEEC lab and LS apps

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