diff --git a/raster/r.carve/README b/raster/r.carve/README deleted file mode 100644 index b40508ea206..00000000000 --- a/raster/r.carve/README +++ /dev/null @@ -1,37 +0,0 @@ -http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/reports/cerl99/rep99.html -Terrain modeling and Soil Erosion Simulations for Fort Hood and Fort Polk -test areas - -Geographic Modeling and Systems Laboratory, -University of Illinois atUrbana-Champaign -Helena Mitasova, Lubos Mitas, William M. Brown, Douglas M. Johnston - - - rast=name raster input file - vect=name vector input file containing stream - - output=name raster output file - [points=name] vector output file for adjusted stream points - [width=value] width of streams (in meters) - [depth=value] additional depth - --q quiet - do not show progress --n no flat areas allowed in flow direction - -r.carve does not create a depressionless DEM because many depressions are in -flat areas and not in the streams. - -http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/reports/cerl99/demstr.gif - -The program will take the vector stream data, transform them to raster, and -subtracts a defaultdepth + additionaldepth from the DEM. If the given -width is more than 1 cell it will carve the stream with the given width. -With -n option it should eliminate all flat cells within the stream, so -when and if the water gets into the stream it will flow. Vector -('points') option generates x,y,z for points which define the stream -with the z value of the bottom of the carved-in stream. These points -can then be combined with contour points to interpolate a new DEM with -better representation of valleys. - -It has not been thoroughly tested so not all option may work properly - -but this was the intention. diff --git a/raster/r.fill.stats/r.fill.stats.html b/raster/r.fill.stats/r.fill.stats.html index 87fb0c045df..6776740af0c 100644 --- a/raster/r.fill.stats/r.fill.stats.html +++ b/raster/r.fill.stats/r.fill.stats.html @@ -222,50 +222,6 @@
- Mitasova H, Mitas, L., 2000, Modeling spatial processes in multiscale framework: -exploring duality between particles and fields, +exploring duality between particles and fields, plenary talk at GIScience2000 conference, Savannah, GA.
Mitas, L., and Mitasova, H., 1998, Distributed soil erosion simulation for effective erosion prevention. Water Resources Research, 34(3), 505-516.
- + Mitasova, H., Mitas, L., 2001, Multiscale soil erosion simulations for land use management, In: Landscape erosion and landscape evolution modeling, Harmon R. and Doe W. eds., Kluwer Academic/Plenum Publishers, pp. 321-347. diff --git a/raster/r.sim/r.sim.sediment/r.sim.sediment.md b/raster/r.sim/r.sim.sediment/r.sim.sediment.md index 2dc83212022..94f35a0931b 100644 --- a/raster/r.sim/r.sim.sediment/r.sim.sediment.md +++ b/raster/r.sim/r.sim.sediment/r.sim.sediment.md @@ -42,7 +42,7 @@ up the simulation. [Mitasova, H., Thaxton, C., Hofierka, J., McLaughlin, R., Moore, A., Mitas L., -2004,](http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/papers/II.6.8_Mitasova_044.pdf) +2004,](https://doi.org/10.1016/S0167-5648(04)80159-X) Path sampling method for modeling overland water flow, sediment transport and short term terrain evolution in Open Source GIS. In: C.T. Miller, M.W. Farthing, V.G. Gray, G.F. Pinder eds., Proceedings of the @@ -50,10 +50,9 @@ XVth International Conference on Computational Methods in Water Resources (CMWR XV), June 13-17 2004, Chapel Hill, NC, USA, Elsevier, pp. 1479-1490. -[Mitasova H, Mitas, L., 2000, Modeling spatial processes in multiscale -framework: exploring duality between particles and -fields,](http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/gisc00/duality.html) -plenary talk at GIScience2000 conference, Savannah, GA. +Mitasova H, Mitas, L., 2000, Modeling spatial processes in multiscale +framework: exploring duality between particles and fields, plenary talk +at GIScience2000 conference, Savannah, GA. Mitas, L., and Mitasova, H., 1998, Distributed soil erosion simulation for effective erosion prevention. Water Resources Research, 34(3), @@ -61,7 +60,7 @@ for effective erosion prevention. Water Resources Research, 34(3), [Mitasova, H., Mitas, L., 2001, Multiscale soil erosion simulations for land use -management,](http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/papers/LLEmiterev1.pdf) +management,](https://doi.org/10.1007/978-1-4615-0575-4_11) In: Landscape erosion and landscape evolution modeling, Harmon R. and Doe W. eds., Kluwer Academic/Plenum Publishers, pp. 321-347. diff --git a/raster/r.sim/r.sim.water/r.sim.water.html b/raster/r.sim/r.sim.water/r.sim.water.html index bfb25e1e740..73a0722d85d 100644 --- a/raster/r.sim/r.sim.water/r.sim.water.html +++ b/raster/r.sim/r.sim.water/r.sim.water.html @@ -20,13 +20,8 @@
-The equations are +as man-made channels, ditches or culverts. The partial derivatives of the +predefined flow are computed from its direction, given by aspect and slope:
dx = tan(slope) * cos(aspect) @@ -227,23 +222,22 @@REFERENCES
-For examples of applications see -GRASS4 implementation and -GRASS5 and GRASS6 implementation. -
Mitas, L., -Mitasova, H., 1999, Spatial Interpolation. In: P.Longley, M.F. +
Mitas, L., Mitasova, H., 1999, Spatial +Interpolation. In: P.Longley, M.F. Goodchild, D.J. Maguire, D.W.Rhind (Eds.), Geographical Information Systems: Principles, Techniques, Management and Applications, Wiley, pp.481-492
Mitas L., Brown W. M., Mitasova H., 1997, -Role +Role of dynamic cartography in simulations of landscape processes based on multi-variate fields. Computers and Geosciences, Vol. 23, No. 4, -pp. 437-446 (includes CDROM and WWW: www.elsevier.nl/locate/cgvis) +pp. 437-446 (includes CDROM)
Mitasova H., Mitas L., Brown W.M., D.P. Gerdes, I. Kosinovsky, Baker, T.1995, Modeling spatially and temporally distributed phenomena: New methods and tools for GRASS GIS. International Journal of GIS, 9 (4), special issue on Integrating GIS and Environmental modeling, 433-446. -
Mitasova, H., Mitas, L., Brown, B., Kosinovsky, I., Baker, T., -Gerdes, D. (1994): -Multidimensional -interpolation and visualization in GRASS GIS -
Mitasova
+ Mitasova
H. and Mitas L. 1993: Interpolation by Regularized Spline with
Tension: I. Theory and Implementation, Mathematical Geology 25,
641-655.
- Mitasova
+ Mitasova
H. and Hofierka J. 1993: Interpolation by Regularized Spline with
Tension: II. Application to Terrain Modeling and Surface Geometry
Analysis, Mathematical Geology 25, 657-667.
diff --git a/vector/v.vol.rst/v.vol.rst.md b/vector/v.vol.rst/v.vol.rst.md
index 5feb8760e8d..79ba77a10b4 100644
--- a/vector/v.vol.rst/v.vol.rst.md
+++ b/vector/v.vol.rst/v.vol.rst.md
@@ -226,33 +226,29 @@ Hofierka J., Parajka J., Mitasova H., Mitas L., 2002, Multivariate
Interpolation of Precipitation Using Regularized Spline with Tension.
Transactions in GIS 6, pp. 135-150.
-[Mitas, L., Mitasova, H.](http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/),
-1999, Spatial Interpolation. In: P.Longley, M.F. Goodchild, D.J.
-Maguire, D.W.Rhind (Eds.), Geographical Information Systems: Principles,
-Techniques, Management and Applications, Wiley, pp.481-492
+Mitas, L., Mitasova, H., 1999, [Spatial
+Interpolation](https://www.wiley.com/en-us/shop/general-introductory-geography/geographical-information-systems-principles-techniques-management-and-applications-2nd-edition-abridged-p-9780471735458).
+In: P.Longley, M.F. Goodchild, D.J. Maguire, D.W.Rhind (Eds.),
+Geographical Information Systems: Principles, Techniques, Management and
+Applications, Wiley, pp.481-492
Mitas L., Brown W. M., Mitasova H., 1997, [Role of dynamic cartography
in simulations of landscape processes based on multi-variate
-fields.](http://fatra.cnr.ncsu.edu/~hmitaso/gmslab/lcgfin/cg-mitas.html)
-Computers and Geosciences, Vol. 23, No. 4, pp. 437-446 (includes CDROM
-and WWW: