Miguel Fernando Arias

Miguel Fernando Arias
University of Northern British Columbia · Natural Resources and Environmental Studies Institute

PhD Student

About

6
Publications
53,568
Reads
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7
Citations
Citations since 2017
3 Research Items
7 Citations
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Introduction
I am a PhD student, at the UNBC as a part of the Conservation solutions Lab (https://oscarventer.net/people/). I am an Engineer, with a Master degree in Geomatics. My research experience has focused on the development of spatial analysis for a better understanding of environmental processes and deforestation. My overarching goal is to contribute to the development of effective solutions to environmental problems informed by spatial and analytic methods.

Publications

Publications (6)
Article
Full-text available
Habitat loss is the leading cause of the global decline in biodiversity, but the influence of human pressure within the matrix surrounding habitat fragments remains poorly understood. Here, we measure the relationship between fragmentation (the degree of fragmentation and the degree of patch isolation), matrix condition (measured as the extent of h...
Preprint
Full-text available
Habitat loss is the leading cause of global biodiversity decline, but the influence of human pressure within the matrix surrounding habitat fragments remains poorly understood. Here we measure the relationship between fragmentation, matrix condition (measured as the extent of high human footprint levels), and the change in extinction risk of 4,327...

Questions

Questions (10)
Question
I am working with LULC models, and i'd like to evaluate the effect of new road branches in the coverage changes.
Question
I have two layers containing deforestation pixels from 2000 to 2006 and 2006 to 2010 and I need to measure their similarity against the deforestation pixels from 2010 to 2012
Question
Does anyone know how I can define the cell size with write GDAL function of the rgdal library in R Project?

Network

Cited By

Projects

Project (1)
Project
Spatial patterns of direct and indirect effects of drivers and agents of forest loss. Spatially explicit models and forecast about deforestation.