Ralf Wieland

发表

Combining expert knowledge with machine learning on the basis of fuzzy training

Ralf Wieland, Wilfried Mirschel, W. Mirschel, 2017, Ecol. Informatics.

Regionale Abschätzung von Ertrag und Bedeckungsgrad mit Hilfe von SAMT

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2004, GIL Jahrestagung.

SAMT - eine neue Open Source Plattform zur Lnadschaftsanalyse, Modellentwicklung und Integration räich expliziter ökologischer und ökonomischer Modelle

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2004, GIL Jahrestagung.

Knowledge representation in expert systems for process control

Ralf Wieland, Berndt Böhme, 1990, Decis. Support Syst..

Environmental impact assessment based on dynamic fuzzy simulation

Ralf Wieland, Carsten Gutzler, R. Wieland, 2014, Environ. Model. Softw..

Expertensysteme für die Prozessautomatisierung, Entwurf und Realisierung des Kerns des Entwicklungssystems PROCON

Ralf Wieland, 1988 .

Die Simulation von Winterweizenerträgen in Thüringen unter Verwendung von meteorologischen Daten unterschiedlicher räumlicher Auflösung

Ralf Wieland, Wilfried Mirschel, Kurt Christian Kersebaum, 2013, GIL Jahrestagung.

Räumliche Abschätzung der Folgen von Klimaänderungen auf Ertrag und Zusatzwasserbedarf landwirtschaftlicher Fruchtarten, dargestellt am Beispiel des Freistaates Thüringen

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2013, GIL Jahrestagung.

SAMT2 V2.0

Ralf Wieland, Karin Groth, 2016 .

Knowledge Based Process Control

Ralf Wieland, Berndt Böhme, Uwe Starke, 1988 .

Dynamic fuzzy models in agroecosystem modeling

Ralf Wieland, Wilfried Mirschel, Claas Nendel, 2013, Environ. Model. Softw..

A Centralized Management System for Raster Data

Ralf Wieland, Karin Groth, Felix Linde, 2016 .

Method for analyzing soil structure according to the size of structural elements

Ralf Wieland, Helmut Rogasik, R. Wieland, 2015, Comput. Geosci..

PyHasse Software for Partial Order Analysis: Scientific Background and Description of Selected Modules

Ralf Wieland, Rainer Brüggemann, Kristina Voigt, 2014 .

What makes the difference between memory and face of a landscape? A machine learning approach applied to the federal state Brandenburg, Germany

Ralf Wieland, Monika Wulf, Kristin Meier, 2018, Spatial Information Research.

Wind modelling for wind erosion research by open source computational fluid dynamics

Ralf Wieland, Yong Li, Michael Sommer, 2011, Ecol. Informatics.

A computational fluid dynamics model for wind simulation: model implementation and experimental validation

Ralf Wieland, Yong Li, Michael Sommer, 2012 .

Adaptive fuzzy modeling versus artificial neural networks

Ralf Wieland, Wilfried Mirschel, W. Mirschel, 2008, Environ. Model. Softw..

Identifying sensitive areas to wind erosion in the Xilingele grassland by computational fluid dynamics modelling

Ralf Wieland, Yong Li, Michael Sommer, 2012, Ecol. Informatics.

Ex ante assessment of crop rotations focusing on energy crops using a multi-attribute decision-making method

Hubert Wiggering, Ralf Wieland, Kurt Christian Kersebaum, 2014 .

Spatial Analysis and Modeling Tool (SAMT): 2. Applications

Ralf Wieland, Wilfried Mirschel, Marion Voss, 2006, Ecol. Informatics.

Multi-Scale Landscape Analysis (MSLA) - A method to identify correlation of relief with ecological point data

Ralf Wieland, Kyoko Fukuda, Michael Sommer, 2011, Ecol. Informatics.

Modellanforderungen für die raum-zeitliche Abschätzung der Folgen von Klimaänderungen auf landwirtschaftliche Erträge, dargestellt für ausgewählte Fruchtarten am Beispiel des Freistaates Sachsen

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2009, GIL Jahrestagung.

A new library to combine artificial neural networks and support vector machines with statistics and a database engine for application in environmental modeling

Ralf Wieland, Wilfried Mirschel, Kyoko Fukuda, 2010, Environ. Model. Softw..

A new method for semi-automatic fuzzy training and its application in environmental modeling

Ralf Wieland, Wilfried Mirschel, Kyoko Fukuda, 2011, Environ. Model. Softw..

Spatial Analysis and Modeling Tool (SAMT): 1. Structure and possibilities

Ralf Wieland, Wilfried Mirschel, Marion Voss, 2006, Ecol. Informatics.

Detecting landscape forms using Fourier transformation and singular value decomposition (SVD)

Ralf Wieland, Claus Dalchow, R. Wieland, 2009, Comput. Geosci..

LandCaRe-DSS - ein interaktives, modellgestütztes Wissens- und Entscheidungsunterstützungssystem für die Klimaanpassung der Landwirtschaft

Ralf Wieland, Karl-Otto Wenkel, Michael Berg, 2009, GIL Jahrestagung.

Considering cost accountancy items in crop production simulations under climate change

Ralf Wieland, Claas Nendel, Michael Berg, 2014 .

LandCaRe DSS--an interactive decision support system for climate change impact assessment and the analysis of potential agricultural land use adaptation strategies.

Ralf Wieland, Wilfried Mirschel, Claas Nendel, 2013, Journal of environmental management.

Parallel implementation to support large spatial simulations

Ralf Wieland, Wilfried Mirschel, Detlef Deumlich, 2012 .

Ecologic-Economic Modeling of Agricultural Land Use for Policy Decisions: An Integrated Model Implemented for North East Region of Germany

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2004, GIL Jahrestagung.

SAMT/DESIRE - eine Simulationsumgebung für räumliche Prozesse

Ralf Wieland, Xenia Specka, Granino Korn, 2006, GIL Jahrestagung.

Modellgestützte Generierung von Ertragserwartungskarten

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2005, GI Jahrestagung.

Experience from the Use of the Interactive Model- and GIS-based Information and Decision Support System LandCaRe-DSS for the Development of Economic Effective Application Strategies of Agriculture to Climate Change

Ralf Wieland, Wilfried Mirschel, Karl-Otto Wenkel, 2011, HAICTA.

Spatial Analysis and Modeling Tool Version 2 (SAMT2), a spatial modeling tool kit written in Python

Ralf Wieland, Wilfried Mirschel, Karin Groth, 2015, Ecol. Informatics.

Automated feature selection for a machine learning approach toward modeling a mosquito distribution

Ralf Wieland, Antje Kerkow, Linus Früh, 2017 .

Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China

Ralf Wieland, Claas Nendel, Tobia Lakes, 2021, Geoscientific Model Development.

Effects of grazing and topography on dust flux and deposition in the Xilingele grassland, Inner Mongolia

Ralf Wieland, Michael Sommer, Carsten Hoffmann, 2008 .

Species density of foliage-dwelling spiders in field margins: a simple, fuzzy rule-based model

Ralf Wieland, Christian Kampichler, Jutta Barthel, 2000 .

Analysing the parameter sensitivity of the agro-ecosystem model MONICA for different crops

Ralf Wieland, Claas Nendel, Xenia Specka, 2015 .

Hasse Diagram Technique and Monte Carlo Simulations

Ralf Wieland, Rainer Bruggemann, R. Wieland, 2013 .

YIELDSTAT – A spatial yield model for agricultural crops

Ralf Wieland, Claas Nendel, Karl-Otto Wenkel, 2014 .

Modelling the potential distribution of an invasive mosquito species: comparative evaluation of four machine learning methods and their combinations

Ralf Wieland, Antje Kerkow, Linus Früh, 2018, Ecological Modelling.

Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and Collembolan community characteristics

Ralf Wieland, Sašo Džeroski, Christian Kampichler, 2000 .

Challenges and Perspectives for Integrated Landscape Modelling to Support Sustainable Land Use Management in Agricultural Landscapes

Ralf Wieland, Karl-Otto Wenkel, Wilfried Mirschel, 2020 .