QGIS - Landscape Ecology Statistics (LecoS) Part II

[@ursu7288]

Thank you very much for the video! Do you know if there is any way around LecoS adding the cut edges of a raster Layer to the edge length?

[@jiakedjzhou1899]

Very informative and helpful, thank you for creating this video!!!

[@stuartehamiltongmail]

Thanks Jiake

[@tinsu.a1658]

Thank you very much for the video! Could I ask you how to caculate Agregate index

[@funtimeenjoyment6770]

Hi, Thank you for the video, I want to know some basic question like what are the pre-requisite for any map to get analyzed by LocoS, for example I need to download a raster then clip it according to my study area, then I need to color the patches or what for a file to get estimated by LecoS

[@Mellamomaxime]

Very useful to undertsand the evolution of our landscapes. We can do it with a random raster without any data ?

[@zidan4661]

can you map the metric values gain or loss for each class using this?

[@luisalbertovillanuevaespin5206]

This video helped me so much! thanks!

[@purnendusardar2223]

This video is very helpful. I just want to know where the detailed explanation for all the matrix can be found?

[@stuartehamiltongmail]

Have you tried searching for the plugin on the web? I just worked them out one-by-one

[@percyyvon425]

Thank you for this helpful tutorial, Could I ask you the difference between FRAGSTAT and LECOS please? In Fragstat, there are sampling strategy options (moving window...). Is this option available here in LECOS? I assume that sampling strategy is necessary when dealing with large landscape (my current case). Thank you

[@stuartehamiltongmail]

Fragstats is the full suite of landscape tools available at www.umass.edu/landeco/research/fragstats/fragstats.html. LECOS is a smaller suite for QGIS based on fragstats. plugins.qgis.org/plugins/LecoS/

[@polybispo]

Hi Stuart, thanks for your video. Really nice!! I wanted to download the layers your used in the link training data but it is not avalible anymore. Would it be possible to share it with me? Thank you so much again.

[@stuartehamiltongmail]

sure

[@stuartehamiltongmail]

doi.org/10.7910/DVN/LGCTMZ

[@assouledechaicha4205]

Thank you, it's very useful.

[@stuartehamiltongmail]

Thanks Assoul