Citations for specific modules
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@BOOK{Krcho1990,
title = {Morfometrick\'{a} anal\'{y}za a digit\'{a}lne modely
georeli\'{e}fu.
(Morphometric analysis and digital models of georelief)},
publisher = {Veda Bratislava},
year = {1990},
author = {J. Krcho},
note = {In Slovak, with English summary},
comment = {best reference to this found
natres.psu.ac.th/Link/SoilCongress/bdd/symp31/764-t.pdf},
}
Hofierka, J., Suri, M. (2002): The solar radiation model for Open source GIS: implementation and applications. Manuscript submitted to the International GRASS users conference in Trento, Italy, September 2002.
Hofierka, J. (1997). Direct solar radiation modelling within an open GIS environment. Proceedings of JEC-GI'97 conference in Vienna, Austria, IOS Press Amsterdam, 575-584.
Jenco, M. (1992). Distribution of direct solar radiation on georelief and its modelling by means of complex digital model of terrain (in Slovak). Geograficky casopis, 44, 342-355.
Kasten, F. (1996). The Linke turbidity factor based on improved values of the integral Rayleigh optical thickness. Solar Energy, 56 (3), 239-244.
Kasten, F., Young, A. T. (1989). Revised optical air mass tables and approximation formula. Applied Optics, 28, 4735-4738.
Kittler, R., Mikler, J. (1986): Basis of the utilization of solar radiation (in Slovak). VEDA, Bratislava, p. 150.
Krcho, J. (1990). <<above>>
Muneer, T. (1990). Solar radiation model for Europe. Building services engineering research and technology, 11, 4, 153-163.
Neteler, M., Mitasova, H. (2002): Open Source GIS: A GRASS GIS Approach, Kluwer Academic Publishers.
Page, J. ed. (1986). Prediction of solar radiation on inclined surfaces. Solar energy R&D in the European Community, series F – Solar radiation data, Dordrecht (D. Reidel), 3, 71, 81-83.
Page, J., Albuisson, M., Wald, L. (2001). The European solar radiation atlas: a valuable digital tool. Solar Energy, 71, 81-83.
Rigollier, Ch., Bauer, O., Wald, L. (2000). On the clear sky model of the ESRA - European Solar radiation Atlas - with respect to the Heliosat method. Solar energy, 68, 33-48.
Scharmer, K., Greif, J., eds., (2000). The European solar radiation atlas, Vol. 2: Database and exploitation software. Paris (Les Presses de l’ École des Mines).
v.surf.rst
H. Mitasova and L. Mitas, R.S. Harmon, 2005, Simultaneous spline approximation and topographic analysis for lidar elevation data in open source GIS, IEEE GRSL 2 (4), 375- 379.
Hofierka, J., 2005, Interpolation of Radioactivity Data Using Regularized Spline with Tension. Applied GIS, Vol. 1, No. 2, pp. 16-01 to 16-13. DOI: 10.2104/ag050016
Hofierka J., Parajka J., Mitasova H., Mitas L., 2002, Multivariate Interpolation of Precipitation Using Regularized Spline with Tension. Transactions in GIS 6(2), pp. 135-150.
H. Mitasova, L. Mitas, B.M. Brown, D.P. Gerdes, I. Kosinovsky, 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 and Mitas 1993: Interpolation by Regularized Spline with Tension: I. Theory and Implementation, Mathematical Geology ,25, 641-655.
Mitasova and Hofierka 1993: Interpolation by Regularized Spline with Tension: II. Application to Terrain Modeling and Surface Geometry Analysis, Mathematical Geology 25, 657-667.
Mitas, L., Mitasova H., 1988 : General variational approach to the approximation problem, Computers and Mathematics with Applications, v.16, p. 983
Neteler, M. and Mitasova, H., 2004, Open Source GIS: A GRASS GIS Approach, Second Edition, Kluwer International Series in Engineering and Computer Science, 773, Kluwer Academic Press / Springer, Boston, Dordrecht, 424 pages.
Talmi, A. and Gilat, G., 1977 : Method for Smooth Approximation of Data, Journal of Computational Physics, 23, p.93-123.
Wahba, G., 1990, : Spline Models for Observational Data, CNMS-NSF Regional Conference series in applied mathematics, 59, SIAM, Philadelphia, Pennsylvania.
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