This paper presents a morphing model of vector geographical data based on Fourier transformation. This model involves three main steps. They are conversion from vector data to Fourier series, generation of intermediate function by combination of the two Fourier series concerning a large scale and a small scale, and reverse conversion from combination function to vector data. By mirror processin...

The article analyzes the degree of study genetic features Holocene soils beligerative complexes. A detailed description natural and anthropogenic conditions factors determining geography, genesis ecological condition modern buried structures Kamianets-Podilskyi Fortress is given. Considerable attention paid to problem ontogenesis dominant within area, represented by urborendzins constructional ...

Current retrieval methods in geographic image databases use only pixel-by-pixel spectral information. Texture is an important property of geographical images that can improve retrieval eeectiveness and eeciency. In this paper, we present a content-based retrieval approach that utilizes the texture features of geographical images. Various texture features are extracted using wavelet transforms. ...

The paper illustrates the results of a correlation study focusing on linguistic variation in an Italian region, Tuscany. By exploiting a multi-level representation scheme of dialectal data, the study analyses attested patterns of phonetic and morpho-lexical variation with the aim of testing the degree of correlation between a) phonetic and morpho-lexical variation, and b) linguistic variation a...