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New Mexico State University (2020)

LandMet : Landscape Metrics Tool in QGIS to Study Landscape Variability

Muthu Subramanmian, Lalitha

Titre : LandMet : Landscape Metrics Tool in QGIS to Study Landscape Variability

Auteur : Muthu Subramanmian, Lalitha

Université de soutenance : New Mexico State University

Grade : Master of Applied Geography 2020

Description
Landscape ecological studies are mainly concerned with the study of determining the changes occurring in landscapes, their causes, and functional importance or effect on the habitat/landscape. To enable such studies, ecologists use landscape metrics as a tool to unravel these complex phenomena and to study the relationships among these landscapes. The availability of new software technologies has given rise to useful and new approaches to study landscape ecology metrics. Most of the tools provide the user with statistics used in analyzing how the changes occur concerning landscapes. In order to make these tools useful for landscape ecology studies, one should be able to produce a spatial output that helps not just the landscape ecologist but also other users who intend to use the tools to study landscape ecology. I thereby develop an open-source plug-in written in Python programming language that produces a spatial output based on cell/class/landscape-level metrics imported from FRAGSTATS. To ensure sure the tool works correctly, I use my tool to study spatial variability of Ponderosa Pine after a Ponil Complex Fire to ensure LandMet delivers the same results similar to Fragstats and LecoS. I believe the results of this research will be of benefit to ecologists and biologists who intend to use open source software and produce a map output that would help them visualize and interpret the results better.

Présentation (NMSU Library)

Aperçu document (ProQuest)

Page publiée le 12 octobre 2020