Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables

Any species distribution modelling method requires two types of input data: (1) occurrences of the focal species, represented as a set of points with geographic coordinates; and (2) environmental variables (predictors) that may be valuable for species distribution, in the format of continuous raster...

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Main Author: Maxim Shashkov
Format: Article
Language:English
Published: LLC Sibecocenter 2023-10-01
Series:Пернатые хищники и их охрана
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Online Access:http://rusraptors.ru/index.php/RC/article/view/421
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author Maxim Shashkov
author_facet Maxim Shashkov
author_sort Maxim Shashkov
collection DOAJ
description Any species distribution modelling method requires two types of input data: (1) occurrences of the focal species, represented as a set of points with geographic coordinates; and (2) environmental variables (predictors) that may be valuable for species distribution, in the format of continuous raster layers. Considerable advances in the digitization of scientific collections around the globe and development of other sources for species distribution data have made it possible for researchers to significantly augment their own data to develop more accurate models.
format Article
id doaj-art-f0123a8b01e445cfb259c4dc29c20495
institution Kabale University
issn 1814-0076
1814-8654
language English
publishDate 2023-10-01
publisher LLC Sibecocenter
record_format Article
series Пернатые хищники и их охрана
spelling doaj-art-f0123a8b01e445cfb259c4dc29c204952025-01-06T16:31:31ZengLLC SibecocenterПернатые хищники и их охрана1814-00761814-86542023-10-010Supl.235836210.19074/1814-8654-2023-2-358-362388Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions VariablesMaxim Shashkov0Карагандинский университет им. академика Е.А. БукетоваAny species distribution modelling method requires two types of input data: (1) occurrences of the focal species, represented as a set of points with geographic coordinates; and (2) environmental variables (predictors) that may be valuable for species distribution, in the format of continuous raster layers. Considerable advances in the digitization of scientific collections around the globe and development of other sources for species distribution data have made it possible for researchers to significantly augment their own data to develop more accurate models.http://rusraptors.ru/index.php/RC/article/view/421хищные птицыказахстанмоделирование распространения видов
spellingShingle Maxim Shashkov
Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables
Пернатые хищники и их охрана
хищные птицы
казахстан
моделирование распространения видов
title Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables
title_full Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables
title_fullStr Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables
title_full_unstemmed Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables
title_short Open Data Sources for Species Distribution Modelling: Biodiversity Information Systems and Spatial Datasets of Environmental Conditions Variables
title_sort open data sources for species distribution modelling biodiversity information systems and spatial datasets of environmental conditions variables
topic хищные птицы
казахстан
моделирование распространения видов
url http://rusraptors.ru/index.php/RC/article/view/421
work_keys_str_mv AT maximshashkov opendatasourcesforspeciesdistributionmodellingbiodiversityinformationsystemsandspatialdatasetsofenvironmentalconditionsvariables