Machine learning in landscape ecological analysis: A review of recent approaches

Mihai-Sorin Stupariu; Samuel A. Cushman; Alin-Ionut Plesoianu; Ileana Patru-Stupariu; Christine Furst

doi:10.1007/s10980-021-01366-9

Treesearch

Machine learning in landscape ecological analysis: A review of recent approaches

Formally Refereed

Authors:

Mihai-Sorin Stupariu, Samuel A. Cushman, Alin-Ionut Plesoianu, Ileana Patru-Stupariu, Christine Furst

Year:

2022

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1007/s10980-021-01366-9

Source:

Landscape Ecology. 37: 1227-1250.

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Abstract

Artificial Intelligence (AI) has rapidly developed over the past several decades. Several related AI approaches, such as Machine Learning (ML), have been applied to research on landscape patterns and ecological processes.

Keywords

landscape ecology, artificial intelligence, machine learning, data analysis, classification, clustering, modelling, prediction

Citation

Stupariu, Mihai-Sorin; Cushman, Samuel A.; Plesoianu, Alin-Ionut; Patru-Stupariu, Ileana; Furst, Christine. 2022. Machine learning in landscape ecological analysis: A review of recent approaches. Landscape Ecology. 37: 1227-1250.