Data · dataset · 2014

Code to generate artificial species and observer model

Listed in DataCite

The artificial species is generated in real environment in Germany.

Description

The species favours the South of Germany (more mountainous), but probability of non-detection increases with the altitude which truncates the Southern distribution of the species. See: Manceur, A. M. and Kühn,, I. 2014.

Inferring model-based probability of occurrence from preferentially sampled data with uncertain absences using expert knowledge. Meth. Ecol Evo.

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DOI: 10.1111/2041-210X.12224

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Stated by source: Biological sciences
From keywords: Ecology

Provenance · 1 source records, 9 field assertions

Source	Key	Last seen	Raw
DataCite	10.6084/m9.figshare.945814	12 d ago	JSON v1

Field	Assertion	Extractor	Evidence
access_level	source · DataCite	connector:datacite@1.0.0	/data/attributes/rightsList
byte_size	source · DataCite	connector:datacite@1.0.0
concepts[field].fos:biological-sciences	source · DataCite	connector:datacite@1.0.0
created_date	source · DataCite	connector:datacite@1.0.0
description	source · DataCite	connector:datacite@1.0.0	/data/attributes/descriptions
license	source · DataCite	connector:datacite@1.0.0	/data/attributes/rightsList
publication_date	source · DataCite	connector:datacite@1.0.0	/data/attributes/dates
title	source · DataCite	connector:datacite@1.0.0	/data/attributes/titles/0/title
updated_date	source · DataCite	connector:datacite@1.0.0

Code to generate artificial species and observer model

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