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Abstract: This study reviews the theory, programming designs and merits of two new Matlab-based routines for the forward and inverse Radon transform. These routines offer users flexible choices of integration path functions to take advantage of improved Radon-domain identification and isolation of seismic phases. Least-squares inversion of frequency components and judicious choices of regularization techniques enables additional noise suppression and signal enhancement in the Radon domain. The forward Radon transform routine has the added benefit of spatial interpolation for irregularly sampled data. The accuracy and applicability of these two new routines are demonstrated using data sets containing long-period SS precursors and high-frequency receiver functions. With minimal modifications these two highly portable, carefully documented Radon-transform routines could be easily adapted for a broad range of applications. [Copyright &y& Elsevier]

Abstract: This paper presents MOSAICO, a set of Fortran 90 Modules for facilitating development of raster based hydrological applications and stimulating adoption of netCDF as a common format for sharing and comparing data among hydrological community. MOSAICO include routines for high level operations for input output and manipulation of gridded dataset. A test program is presented in order to show basic MOSAICO capabilities. [Copyright &y& Elsevier]

Abstract: This paper focuses on the modeling of the boundary between Earth''s crust and upper mantle using a gravimetric–isostatic model. Here a MATLAB code is presented based on the gravimetric–isostatic model i.e. the Vening Meinesz–Moritz model. Inverse problems in isostasy consist in making the isostatic anomalies to be zero under a certain isostatic hypothesis. The Vening Meinesz–Moritz problem is to determine the Moho depth such that the compensating attraction totally compensates the Bouguer gravity anomaly on the Earth''s surface, implying that the isostatic anomaly vanishes on the Earth''s surface. The main idea is easy but the theoretical analysis is somewhat difficult. Here a practical method to recover the Moho depth from the gravity data is used in the MATLAB code (MohoIso.m) based on the Vening Meinesz–Moritz method. The code has been designed based on different sub-codes. The body of the main code works according to the vectorization technique, because this technique causes that the speed of code increases. One of the important possible limitations for the code is over-flow and under-flow for higher degrees in the fully normalized associated Legendre function. This problem occurs in the subroutine applied in this study, it limits the numerical study up to degrees 1800–2000. [Copyright &y& Elsevier]

A statistical analysis of compositional data based on the Aitchison geometry of the simplex requires an appropriate basis for representing the data. A simple and intuitive way of building such a basis employs a sequential binary partition of the compositional vector. The partition, together with some statistical summaries of the coordinates, or balances, can be represented in a dendrogram-type graph. In this paper we introduce an implementation of this methodology inside CoDaPack, which is freeware. An example with real data illustrates the use of the Balance-Dendrogram routine. [Copyright &y& Elsevier]

A MATLAB® program that examines patterns of state-space occupation is described. Four subroutines are available with which to visualize morphospace patterns: (i) in terms of their features such as dispersion, aggregation and location, thereby allowing users to extract complementary quantitative information about how the state-space is structured, and (ii) in terms of changes in those patterns that can be compared with other biotic (e.g., extinction, origination rates) or abiotic (e.g., environmental proxy) information. The program incorporates many of the latest and most widely used statistical parameters for describing multivariate spaces. The parameters are estimated on the basis of bootstrap resampling or bootstrap rarefaction procedures. Applications based on stochastic simulation of the evolution of monophyletic clade (using m-file contained in the help folder of the MDA program) are presented so as to illustrate the program''s various options. The versatility of MDA allows the most interesting patterns to be extracted rapidly from data and the program to be applied readily to a wide range of state-space problems. [Copyright &y& Elsevier]