Building dynamic spatial environmental models
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[1] Derek Karssenberg,et al. The value of environmental modelling languages for building distributed hydrological models , 2002 .
[2] Antonio Sousa da Camara,et al. Environmental Systems: A Multidimensional Approach , 2002 .
[3] Derek Karssenberg,et al. Improving the model development cycle by automatic configuration of modelling tools , 2002 .
[4] M. Sivapalan,et al. Process controls of water balance variability in a large semi-arid catchment: downward approach to hydrological model development , 2001 .
[5] Derek Karssenberg,et al. Conditioning a Process-Based Model of Sedimentary Architecture to Well Data , 2001 .
[6] Stefano Tarantola,et al. Uncertainty and sensitivity analysis: tools for GIS-based model implementation , 2001, Int. J. Geogr. Inf. Sci..
[7] Edzer Pebesma,et al. Nutrient fluxes at the river basin scale. II: the balance between data availability and model complexity , 2001 .
[8] Derek Karssenberg,et al. The PCRaster Software and Course Materials for Teaching Numerical Modelling in the Environmental Sciences , 2001, Trans. GIS.
[9] C. Paola,et al. Landscape instability in an experimental drainage basin , 2000 .
[10] J. T. Douglas,et al. Predicting depressional storage from soil surface roughness. , 2000 .
[11] D. Chanasyk,et al. Plot and small‐watershed scale runoff from two reclaimed surface‐mined watersheds in Alberta , 2000 .
[12] M. Battany,et al. Development of a portable field rainfall simulator for use in hillside vineyard runoff and erosion studies , 2000 .
[13] Takahisa Mizuyama,et al. Scaling hydraulic properties of forest soils , 2000 .
[14] G. Heuvelink,et al. Latin Hypercube Sampling of Gaussian Random Fields , 1999, Technometrics.
[15] R. Moore,et al. Hierarchical testing of three rainfall-runoff models in small forested catchments , 1999 .
[16] J. Poesen,et al. Performance of an optical spectro pluviometer in measuring basic rain erosivity characteristics , 1999 .
[17] S. Orlandini,et al. On the storm flow response of upland Alpine catchments , 1999 .
[18] M. Sivapalan,et al. A unifying framework for watershed thermodynamics: balance equations for mass, momentum, energy and entropy, and the second law of thermodynamics , 1998 .
[19] Yee Leung,et al. A Locational Error Model for Spatial Features , 1998, Int. J. Geogr. Inf. Sci..
[20] Mitchell J. Small,et al. River and floodplain process simulation for subsurface characterization , 1998 .
[21] J. Poesen,et al. The European Soil Erosion Model (EUROSEM): A dynamic approach for predicting sediment transport from fields and small catchments. , 1998 .
[22] Rudy Slingerland,et al. Necessary conditions for a meandering-river avulsion , 1998 .
[23] Gerard B. M. Heuvelink,et al. Error Propagation in Environmental Modelling with GIS , 1998 .
[24] Edzer Pebesma,et al. GSTAT: a program for geostatistical modelling, prediction and simulation , 1998 .
[25] F. Melone,et al. On the interaction between infiltration and Hortonian runoff , 1998 .
[26] J. Buttle,et al. Spatial variability of saturated hydraulic conductivity in shallow macroporous soils in a forested basin , 1997 .
[27] Bruno Merz,et al. An analysis of the effects of spatial variability of soil and soil moisture on runoff , 1997 .
[28] Phaedon C. Kyriakidis,et al. Spatial and temporal variability in the R‐5 infiltration data set: Déjà vu and rainfall‐runoff simulations , 1997 .
[29] Bofu Yu,et al. Plot-scale rainfall-runoff characteristics and modeling at six sites in Australia and Southeast Asia , 1997 .
[30] Trevor J. Davis,et al. Modelling Uncertainty in Natural Resource Analysis Using Fuzzy Sets and Monte Carlo Simulation: Slope Stability Prediction , 1997, Int. J. Geogr. Inf. Sci..
[31] M. Perk. Effect of model structure on the accuracy and uncertainty of results from water quality models , 1997 .
[32] J. Feyen,et al. Spatial analysis of saturated hydraulic conductivity in a soil with macropores , 1997 .
[33] J. Casti. Would-Be Worlds: How Simulation Is Changing the Frontiers of Science , 1996 .
[34] Clayton V. Deutsch,et al. Hierarchical object-based stochastic modeling of fluvial reservoirs , 1996 .
[35] A. D. Roo,et al. LISEM: a single-event physically based hydrological and soil erosion model for drainage basins; I: theory, input and output , 1996 .
[36] C. P. North. The prediction and modelling of subsurface fluvial stratigraphy , 1996 .
[37] J. Stam. Migration and growth of aeolian bedforms , 1996 .
[38] S. Tyler,et al. Quantifying and delineating spatial variations of surface infiltration in a small watershed , 1996 .
[39] S. Gorelick,et al. Heterogeneity in Sedimentary Deposits: A Review of Structure‐Imitating, Process‐Imitating, and Descriptive Approaches , 1996 .
[40] D. A. Woolhiser,et al. Effects of Spatial Variability of Saturated Hydraulic Conductivity on Hortonian Overland Flow , 1996 .
[41] C. Paola,et al. Downstream Changes In Alluvial Architecture: An Exploration of Controls on Channel-stacking Patterns , 1996 .
[42] Derek Karssenberg,et al. Experience and applications of a GIS based dynamic modelling language , 1996 .
[43] Howard Veregin,et al. Developing and Testing of an Error Propagation Model for GIS Overlay Operations , 1995, Int. J. Geogr. Inf. Sci..
[44] D. A. Woolhiser,et al. KINEROS - a kinematic runoff and erosion model , 1995 .
[45] Murugesu Sivapalan,et al. ON THE REPRESENTATIVE ELEMENTARY AREA (REA) CONCEPT AND ITS UTILITY FOR DISTRIBUTED RAINFALL-RUNOFF MODELLING , 1995 .
[46] Marc F. P. Bierkens,et al. Application of indicator simulation to modelling the lithological properties of a complex confining layer , 1994 .
[47] R. Raga,et al. Variability of unsaturated zone water transport parameters: implications for hydrological modelling , 1993 .
[48] P. Burrough,et al. The indicator approach to categorical soil data. II: Application to mapping and land use suitability analysis , 1993 .
[49] J. Bridge,et al. A revised model for water flow, sediment transport, bed topography and grain size sorting in natural river bends , 1992 .
[50] David Russo,et al. Upscaling of hydraulic conductivity in partially saturated heterogeneous porous formation , 1992 .
[51] D. E. Baker,et al. A stochastic model of infiltration which simulates “macropore” soil water flow , 1991 .
[52] Andrew K. Skidmore,et al. A comparison of techniques for calculating gradient and aspect from a gridded digital elevation model , 1989, Int. J. Geogr. Inf. Sci..
[53] K. Beven,et al. A physically based model of heterogeneous hillslopes: 2. Effective hydraulic conductivities , 1989 .
[54] John W. Harbaugh,et al. Simulating Clastic Sedimentation , 1989 .
[55] Keith Beven,et al. Changing ideas in hydrology — The case of physically-based models , 1989 .
[56] M. Bonell,et al. The influence of scale of measurement on the spatial and temporal variability of the Philip infiltration parameters — An experimental study in an an Australian savannah woodland , 1988 .
[57] J. Bouma,et al. VARIABILITY OF SATURATED HYDRAULIC CONDUCTIVITY IN A GLOSSAQUIC HAPLUDALF WITH MACROPORES , 1988 .
[58] J. Philip,et al. The infiltration joining problem , 1987 .
[59] K. Smettem. CHARACTERIZATION OF WATER ENTRY INTO A SOIL WITH A CONTRASTING TEXTURAL CLASS: SPATIAL VARIABILITY OF INFILTRATION PARAMETERS AND INFLUENCE OF MACROPOROSITY , 1987 .
[60] P. E. O'connell,et al. An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system , 1986 .
[61] A. Journel. Nonparametric estimation of spatial distributions , 1983 .
[62] Mary P. Anderson,et al. Introduction to Groundwater Modeling: Finite Difference and Finite Element Methods , 1982 .
[63] David Russo,et al. Soil Hydraulic Properties as Stochastic Processes: I. An Analysis of Field Spatial Variability , 1981 .
[64] Mike R. Leeder,et al. A simulation model of alluvial stratigraphy , 1979 .
[65] Roger E. Smith,et al. A Monte Carlo Analysis of the hydrologic effects of spatial variability of infiltration , 1979 .
[66] J. Parlange,et al. A parameter‐efficient hydrologic infiltration model , 1978 .
[67] J. Bridge. Flow, bed topography, grain size and sedimentary structure in open channel bends: A three‐dimensional model: A reply , 1977 .
[68] Daryl B. Simons,et al. Nonlinear kinematic wave approximation for water routing , 1975 .
[69] Robert A. Merriam,et al. Fog drip from artificial leaves in a fog wind tunnel , 1973 .
[70] J. Philip,et al. The Theory of Infiltration , 1958 .
[71] A Barneveld,et al. Contact areas and pressure distribution on the proximal articular surface of the proximal phalanx under sagittal plane loading. , 2001, Equine veterinary journal.
[72] Edzer Pebesma,et al. The stochastic dimension in a dynamic GIS , 2000 .
[73] A Barneveld,et al. Topographical mapping of biochemical properties of articular cartilage in the equine fetlock joint. , 2000, Equine veterinary journal.
[74] S. V. Dijck,et al. Effects of agricultural land use on surface runoff and erosion in a Mediterranean area , 2000 .
[75] N. C. Van de Giesen,et al. Scale effects of Hortonian overland flow and rainfall–runoff dynamics in a West African catena landscape , 2000 .
[76] D. Walling,et al. Assessment of spatial redistribution of Chernobyl-derived radiocaesium within catchments using GIS-embedded models , 2000 .
[77] Timothy A. Cross,et al. Construction and Application of a Stratigraphic Inverse Model , 1999 .
[78] R. Gunst. Applied Regression Analysis , 1999, Technometrics.
[79] P. Burrough,et al. Principles of geographical information systems , 1998 .
[80] T. Burt. Infiltration for Soil Erosion Models: Some Temporal and Spatial Complications , 1998 .
[81] Steven F. Carle,et al. CONDITIONAL SIMULATION OF HYDROFACIES ARCHITECTURE: A TRANSITION PROBABILITY/MARKOV APPROACH1 , 1998 .
[82] Harri T. Kiiveri,et al. Assessing, Representing and Transmitting Positional Uncertainty in Maps , 1997, Int. J. Geogr. Inf. Sci..
[83] Derek Karssenberg,et al. Integrating dynamic environmental models in GIS: The development of a Dynamic Modelling language , 1996, Trans. GIS.
[84] Vijay P. Singh,et al. Hydrology components of CREAMS and GLEAMS models. , 1995 .
[85] Clayton V. Deutsch,et al. Practical considerations in the application of simulated annealing to stochastic simulation , 1994 .
[86] Tarald Svanes,et al. Modeling Heterogeneities in Fluvial Domains: A Review of the Influence on Production Profiles , 1994 .
[87] J. Doveton. Theory and Applications of Vertical Variability Measures from Markov Chain Analysis , 1994 .
[88] H. Veregin. Integration of simulation modeling and error propagation for the buffer operation in GIS , 1994 .
[89] Anthony J. Jakeman,et al. Construction and Evaluation of Models of Environmental Systems , 1993 .
[90] David Beasley,et al. An overview of genetic algorithms: Part 1 , 1993 .
[91] Michael F. Goodchild,et al. Development and test of an error model for categorical data , 1992, Int. J. Geogr. Inf. Sci..
[92] M. Budding,et al. 3D Connectivity and Architecture in Sandstone Reservoirs , 1992 .
[93] D. Lanter,et al. A research paradigm for propagating error in layer-based GIS , 1992 .
[94] K. Thapa,et al. Accuracy of spatial data used in geographic information systems , 1992 .
[95] Peter F. Fisher,et al. Modelling soil map-unit inclusions by Monte Carlo simulation , 1991, Int. J. Geogr. Inf. Sci..
[96] H. Omre,et al. A Computer Program for Evaluation of Fluvial Reservoirs , 1990 .
[97] C. Thorne,et al. Quantitative analysis of land surface topography , 1987 .
[98] Berthold K. P. Horn,et al. Hill shading and the reflectance map , 1981, Proceedings of the IEEE.
[99] M. Sharma,et al. Spatial variability of infiltration in a watershed , 1980 .
[100] J. Aitchison,et al. The lognormal distribution : with special reference to its uses in economics , 1957 .