Hochschulschrift
Integrating dynamic and statistical modelling approaches in order to improve predictions for scenarios of environmental change
- Weitere Titel
-
Integration dynamischer und statistischer Modellansätze zur Verbesserung von Arealvorhersagen für Szenarien globalen Wandels
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Potsdam, Universität Potsdam, Diss., 2011
- Schlagwort
-
Ökosystem
Ökologisches Gleichgewicht
Biom
Ökotop
Ökologie
Computersimulation
- Ereignis
-
Veröffentlichung
- (wo)
-
Potsdam
- (wer)
-
Universitätsbibliothek der Universität Potsdam
- (wann)
-
2011
- Urheber
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:kobv:517-opus-56845
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Zurell, Damaris
- Schröder, Boris
- Universitätsbibliothek der Universität Potsdam
Entstanden
- 2011
Ähnliche Objekte (12)
Functional and mechanistic approaches to improve neurotoxicity predictions
How can Car2X-Communication improve road safety: A statistical based selection and discussion of feasible scenarios
Developing and integrating scenarios in a virtual city
Designing wood supply scenarios from forest inventories with stratified predictions
Integrating Smart Items and Cloud Computing in Healthcare Scenarios
Can measures of broadband infrastructure improve predictions of economic growth?
Extreme weather impacts do not improve conflict predictions in Africa
Towards integrating social dynamics into climate economic scenarios literature review
Towards Integrating Social Dynamics into Climate Economics Scenarios Literature Review
Balancing High-Load Scenarios with Next Cell Predictions and Mobility Pattern Recognition
Calibration of probability predictions from machine-learning and statistical models
Measuring anti-trafficking policy: Integrating text and statistical analysis
Functional and mechanistic approaches to improve neurotoxicity predictions
How can Car2X-Communication improve road safety: A statistical based selection and discussion of feasible scenarios
Developing and integrating scenarios in a virtual city
Designing wood supply scenarios from forest inventories with stratified predictions
Integrating Smart Items and Cloud Computing in Healthcare Scenarios
Can measures of broadband infrastructure improve predictions of economic growth?
Extreme weather impacts do not improve conflict predictions in Africa
Towards integrating social dynamics into climate economic scenarios literature review
Towards Integrating Social Dynamics into Climate Economics Scenarios Literature Review
Balancing High-Load Scenarios with Next Cell Predictions and Mobility Pattern Recognition
Calibration of probability predictions from machine-learning and statistical models
Measuring anti-trafficking policy: Integrating text and statistical analysis
Functional and mechanistic approaches to improve neurotoxicity predictions
How can Car2X-Communication improve road safety: A statistical based selection and discussion of feasible scenarios
Developing and integrating scenarios in a virtual city
Designing wood supply scenarios from forest inventories with stratified predictions
Integrating Smart Items and Cloud Computing in Healthcare Scenarios
Can measures of broadband infrastructure improve predictions of economic growth?
Extreme weather impacts do not improve conflict predictions in Africa
Towards integrating social dynamics into climate economic scenarios literature review
Towards Integrating Social Dynamics into Climate Economics Scenarios Literature Review
Balancing High-Load Scenarios with Next Cell Predictions and Mobility Pattern Recognition
Calibration of probability predictions from machine-learning and statistical models