Ecological state evaluation of lake ecosystems revisited: Latent variables with kSVM algorithm approach for assessment automatization and data comprehension

Ecological state evaluation of lake ecosystems revisited: Latent variables with kSVM algorithm approach for assessment automatization and data comprehension

Automated and reproducible methodology for assessing the ecological condition of lakes is essential for effective monitoring and facilitating the decision-making process aimed at achieving the stated environmental goals. At the same time, multidimensional measurement datasets are often an obstacle t...

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Bibliographic Details
Main Authors: Chrobak, G. (Author), Chrobak, K. (Author), Fischer, T.B (Author), Kazak, J.K (Author), Kowalczyk, T. (Author), Szewrański, S. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
algorithm
Algorithm approaches
Assessment process
automation
data set
decision making
Decision making
Decision support
Decision support systems
Decision supports
Ecological assessment
Ecological state
Ecosystems
expert system
lake ecosystem
Lake ecosystem
Lake ecosystems
Lakes
Latent variable
Latent variable analysis
Latent variables analysis
Machine learning
Machine-learning
numerical model
Poland [Central Europe]
State evaluation
support vector machine
Support vector machines
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