Open AccessComplex solution on solving problems of estimating plant resources by GIS and climate model methods
Author(s) -
A. V. Vaganov,
Z. V. Pokalyakin,
L. A. Khvorova
Publication year - 2021
Publication title -
problemy botaniki ûžnoj sibiri i mongolii
Language(s) - English
Resource type - Journals
eISSN - 2686-9268
pISSN - 2313-3929
DOI - 10.14258/pbssm.2021018
Subject(s) - python (programming language) , computer science , cluster analysis , dbscan , data mining , data science , fuzzy clustering , machine learning , canopy clustering algorithm , operating system
The paper considers the applied aspects of the use of modern information technologies for an accurateassessment of plant resources using GIS and climate model methods. For the most effective achievement of the goals ofintegrated monitoring and assessment of plant resources, the authors discussed and proposed a number of requirementsfor the initial data, factors affecting the change in the area and the results of the assessment of plant resources. As anavailable free analogue of the method for correcting the spatial unevenness of the points of registration of species inSDMtoolbox (ArcGIS), we proposed the DBSCAN clustering method, which is implemented in the Python library sklearn.