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Original Articles

Stimulation from simulation? A teaching model of hillslope hydrology for use on microcomputers

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Pages 23-39 | Published online: 25 Feb 2007

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Rieke Ammoneit, Christoph Reudenbach & Carina Peter. (2024) Developing geographic computer modeling competencies in higher education. Journal of Geography in Higher Education 48:3, pages 345-367.
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Omayma Amellah, Karim El Morabiti, Carmen Maftei, Constantine Papatheodorou, Constantin Buta, Ali Bounab & Mahamat Ouchar Al-Djazouli. (2022) Topographic indices and two-dimensional hydrodynamic modelling for flood hazard mapping in a data-scarce plain area: a case study of Oued Laou catchment (Northern of Morocco). Geocarto International 37:26, pages 13596-13617.
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Ali Bounab, Kamal Agharroud, Younes El Kharim, Rachid El Hamdouni & Layachi Faghloumi. (2022) The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen commune (Tetouan, Northern Morocco). Geocarto International 37:25, pages 9967-9997.
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Rupak Sarkar & Subashisa Dutta. (2015) Parametric study of a physically-based, plot-scale hillslope hydrological model through virtual experiments. Hydrological Sciences Journal 60:3, pages 448-467.
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Jim Petch & Ian Reid. (1988) The Teaching of geomorphology and the geography/geology debate. Journal of Geography in Higher Education 12:2, pages 195-204.
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DanielA. Griffith. (1987) Teaching spatial autocorrelation by simulation. Journal of Geography in Higher Education 11:2, pages 143-153.
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Christine B. Georgakakos & James Knighton. How you teach changes who you reach: understanding the effect of teaching modality on engagement, interest, and learning in hydrology. Journal of Geography in Higher Education 0:0, pages 1-22.
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Articles from other publishers (20)

Vincent E. Nwazelibe, Johnbosco C. Egbueri, Chinanu O. Unigwe, Johnson C. Agbasi, Daniel A. Ayejoto & Sani I. Abba. (2023) GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach. Environmental Earth Sciences 82:19.
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Olivier Delaigue, Pierre Brigode, Guillaume Thirel & Laurent Coron. (2023) airGRteaching: an open-source tool for teaching hydrological modeling with R. Hydrology and Earth System Sciences 27:17, pages 3293-3327.
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Mailson Freire de Oliveira, Brenda Valeska Ortiz, Guilherme Trimer Morata, Andrés-F Jiménez, Glauco de Souza Rolim & Rouverson Pereira da Silva. (2022) Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction. Remote Sensing 14:23, pages 6171.
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Alois Simon, Clemens Geitner & Klaus Katzensteiner. (2020) A framework for the predictive mapping of forest soil properties in mountain areas. Geoderma 371, pages 114383.
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Christa Kelleher & Lauren McPhillips. (2019) Exploring the application of topographic indices in urban areas as indicators of pluvial flooding locations. Hydrological Processes 34:3, pages 780-794.
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Imran Ahmad, Mithas Ahmad Dar, Afera Halefom Teka, Tesfa Gebre, Ebissa Gadissa & Asirat Teshome Tolosa. (2019) Application of hydrological indices for erosion hazard mapping using Spatial Analyst tool. Environmental Monitoring and Assessment 191:8.
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Gina L. O'Neil, Linnea Saby, Lawrence E. Band & Jonathan L. Goodall. (2019) Effects of LiDAR DEM Smoothing and Conditioning Techniques on a Topography‐Based Wetland Identification Model. Water Resources Research 55:5, pages 4343-4363.
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Türkan Bayer Altın & Ergin Gökkaya. (2018) Assessment of landslide-triggering factors and occurrence using morphometric parameters in Geyraz Basin, Tokat, Northern Turkey. Environmental Earth Sciences 77:4.
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Dennis W. Hallema, Roger Moussa, Ge Sun & Steven G. McNulty. (2016) Surface storm flow prediction on hillslopes based on topography and hydrologic connectivity. Ecological Processes 5:1.
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Lucas A. WellsWoodam ChungNathaniel M. AndersonJohn S. Hogland. (2016) Spatial and temporal quantification of forest residue volumes and delivered costs. Canadian Journal of Forest Research 46:6, pages 832-843.
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Vahid Moosavi & Yaghoub Niazi. (2015) Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping. Landslides 13:1, pages 97-114.
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Işık Yilmaz, Inan Keskin & Marian Marschalko. (2015) Rock mass parameters based doline susceptibility mapping in gypsum terrain. Quarterly Journal of Engineering Geology and Hydrogeology 48:2, pages 124-134.
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I??k Yilmaz, Marian Marschalko & Martin Bednarik. (2011) Gypsum collapse hazards and importance of hazard mapping. Carbonates and Evaporites 26:2, pages 193-209.
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Işık Yilmaz. (2009) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environmental Earth Sciences 61:4, pages 821-836.
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Işık Yilmaz. (2009) The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks. Environmental Earth Sciences 60:3, pages 505-519.
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Işık Yilmaz & Inan Keskin. (2009) GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey). Bulletin of Engineering Geology and the Environment 68:4, pages 459-471.
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Işık Yilmaz. (2009) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey). Computers & Geosciences 35:6, pages 1125-1138.
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J.L. Ticehurst, B.F.W. Croke & A.J. Jakeman. (2005) Model design for the hydrology of tree belt plantations on hillslopes. Mathematics and Computers in Simulation 69:1-2, pages 188-212.
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J.L. Ticehurst, H.P. Cresswell & A.J. Jakeman. (2003) Using a physically based model to conduct a sensitivity analysis of subsurface lateral flow in south-east Australia. Environmental Modelling & Software 18:8-9, pages 729-740.
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David J. Unwin. (1992) Computer assisted learning in Geography. Computers & Education 19:1-2, pages 73-78.
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