Spatial Transferability of Vegetation Types in Distribution Models Based on Sample Surveys from an Alpine Region

Journals Menu

Follow SCIRP

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org

"Spatial Transferability of Vegetation Types in Distribution Models Based on Sample Surveys from an Alpine Region"
written by Linda Aune-Lundberg, Anders Bryn,
published by Journal of Geographic Information System, Vol.10 No.1, 2018

has been cited by the following article(s):

[1]	Choice of predictors and complexity for ecosystem distribution models: effects on performance and transferability
	…, 2024

[2]	Brainworm (Elaphostrongylus rangiferi) abundance in wild reindeer (Rangifer tarandus tarandus) in relation to gastropod densities
	2021

[3]	8 Data Mining, Machine Learning and Spatial Data Infrastructures for Scenario Modelling
	2020

[4]	Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin
	2020

[5]	0ingdong S, lmin B
	2020

[6]	Data mining, machine learning and spatial data infrastructures for scenario modelling
	Modelling nature-based solutions, 2020

[7]	Distribution modelling of vegetation types based on area frame survey data
	2019

[1]	Choice of predictors and complexity for ecosystem distribution models: effects on performance and transferability Ecography, 2024 DOI:10.1111/ecog.07269

[2]	Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin PLOS ONE, 2020 DOI:10.1371/journal.pone.0235469

[3]	Distribution modelling of vegetation types based on area frame survey data Applied Vegetation Science, 2019 DOI:10.1111/avsc.12451

[4]	Distribution modelling of vegetation types based on area frame survey data Applied Vegetation Science, 2019 DOI:10.1111/avsc.12451

Follow SCIRP

Free SCIRP Newsletters

Add your e-mail address to receive free newsletters from SCIRP.

Top