Species distribution modelling to support forest management. A literature review
Abstract Species Distribution Modelling (SDM) techniques were originally developed in the
mid-1980s. In this century they are gaining increasing attention in the literature and in …
mid-1980s. In this century they are gaining increasing attention in the literature and in …
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
AL Boulesteix, S Janitza, J Kruppa… - … Reviews: Data Mining …, 2012 - Wiley Online Library
The random forest (RF) algorithm by Leo Breiman has become a standard data analysis tool
in bioinformatics. It has shown excellent performance in settings where the number of …
in bioinformatics. It has shown excellent performance in settings where the number of …
Projected climate-driven changes in pollen emission season length and magnitude over the continental United States
Y Zhang, AL Steiner - Nature communications, 2022 - nature.com
Atmospheric conditions affect the release of anemophilous pollen, and the timing and
magnitude will be altered by climate change. As simulated with a pollen emission model and …
magnitude will be altered by climate change. As simulated with a pollen emission model and …
Classification of rockburst in underground projects: comparison of ten supervised learning methods
Rockburst prediction is of crucial importance to the design and construction of many
underground projects. Insufficient knowledge, lack of characterizing information, and noisy …
underground projects. Insufficient knowledge, lack of characterizing information, and noisy …
GRASS GIS: A multi-purpose open source GIS
The GIS software sector has developed rapidly over the last ten years. Open Source GIS
applications are gaining relevant market shares in academia, business, and public …
applications are gaining relevant market shares in academia, business, and public …
Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques
Rockburst prediction is of vital significance to the design and construction of underground
hard rock mines. A rockburst database consisting of 102 case histories, ie, 1998–2011 …
hard rock mines. A rockburst database consisting of 102 case histories, ie, 1998–2011 …
Mining data with random forests: A survey and results of new tests
A Verikas, A Gelzinis, M Bacauskiene - Pattern recognition, 2011 - Elsevier
Random forests (RF) has become a popular technique for classification, prediction, studying
variable importance, variable selection, and outlier detection. There are numerous …
variable importance, variable selection, and outlier detection. There are numerous …
Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …
possible by the advancement of various modern technologies such as the internet of things …
Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
Species distribution models (SDMs) are increasingly being used to address a diverse range
of applied and theoretical questions (Guisan and Thuiller 2005, Jeschke and Strayer 2008) …
of applied and theoretical questions (Guisan and Thuiller 2005, Jeschke and Strayer 2008) …
A review of supervised machine learning algorithms and their applications to ecological data
In this paper we present a general overview of several supervised machine learning (ML)
algorithms and illustrate their use for the prediction of mass mortality events in the coastal …
algorithms and illustrate their use for the prediction of mass mortality events in the coastal …