Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7624
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models ; volume:23 ; number:2 ; day:26 ; month:4 ; year:2019 ; pages:243-268 ; date:4.2019
Geoinformatica ; 23, Heft 2 (26.4.2019), 243-268, 4.2019
- Creator
-
Abdulkareem, Shaheen A.
Mustafa, Yaseen T.
Augustijn, Ellen-Wien
Filatova, Tatiana
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10707-019-00347-0
- URN
-
urn:nbn:de:101:1-2019100523465282512307
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Abdulkareem, Shaheen A.
- Mustafa, Yaseen T.
- Augustijn, Ellen-Wien
- Filatova, Tatiana
- SpringerLink (Online service)
Other Objects (12)
Modern workflow for managing Spatial data
Rspatial.org, tutorials for learning Spatial R
Modeling cerebellar learning for spatial cognition
Agent-Based Spatial Competition
Spatial recall index for machine learning algorithms
Spatial cognition, 3.. Routes and navigation, human memory and learning, spatial representation and spatial learning
Spatial machine learning: new opportunities for regional science
Modified navigation instructions for spatial navigation assistance systems lead to incidental spatial learning
Spatial learning with geospatial technologies
An efficient workflow for modelling high-dimensional spatial extremes
Mapping explanation - Python toolchaing for spatial interpretative machine learning
Replicable machine learning workflow for energy forecasting
Modern workflow for managing Spatial data
Rspatial.org, tutorials for learning Spatial R
Modeling cerebellar learning for spatial cognition
Agent-Based Spatial Competition
Spatial recall index for machine learning algorithms
Spatial cognition, 3.. Routes and navigation, human memory and learning, spatial representation and spatial learning
Spatial machine learning: new opportunities for regional science
Modified navigation instructions for spatial navigation assistance systems lead to incidental spatial learning
Spatial learning with geospatial technologies
An efficient workflow for modelling high-dimensional spatial extremes
Mapping explanation - Python toolchaing for spatial interpretative machine learning
Replicable machine learning workflow for energy forecasting
Modern workflow for managing Spatial data
Rspatial.org, tutorials for learning Spatial R
Modeling cerebellar learning for spatial cognition
Agent-Based Spatial Competition
Spatial recall index for machine learning algorithms
Spatial cognition, 3.. Routes and navigation, human memory and learning, spatial representation and spatial learning
Spatial machine learning: new opportunities for regional science
Modified navigation instructions for spatial navigation assistance systems lead to incidental spatial learning
Spatial learning with geospatial technologies
An efficient workflow for modelling high-dimensional spatial extremes
Mapping explanation - Python toolchaing for spatial interpretative machine learning