The article concerns a presentation of the content and of the results of the phonemic-graphemic analysis of the German records from the second half of the 14th century (1361-1380), which come from the town council of Zgorzelec (Görlitz). The purpose of the paper is to answer the question what the spelling rules in the town chancellery of Zgorzelec are and how the script fixes the features of the spoken language from the past. Due to the analysis, it could be explicitly proved, that the German used in the text matches to the level of evolution of the German language within the periodization of history of the language as it contains the standard Early New High German features as well as the dialectal structures and the sound changes, which are emblematic for the Silesian dialect. The text can therefore be classified as one of the linguistic monuments of the East Central German of Silesian tradition. All the conclusions of the study are supported with the suitable examples.

Safe mine operations and optimal economical decision making in the context of lignite resources require an adequate level of knowledge about the spatial distribution of critical attributes in terms of geometry and quality in the deposit. Therefore, ore body models are generated using different approaches in geostatistics, depending on the problem to be solved. In this article the analysis of geostatistical methods used for deposits modeling has been presented. Based on exploration data concerning caloric value Q, models of one exemplary lignite deposit has been made. Two models of deposit were prepared using two different methods: ordinary kriging (OK) and sequential Gaussian conditional simulation (SGSIM). Different models of the same deposit were analyzed and compared with source data using criterion of fidelity to statistical attributes like: mean value, variance, statistical distribution. Models, which have been created based on exploration data, were compared with in-situ data gained from survey activities in the exploitation process. As a result of comparison correlation factor and measures of deviations were computed: average relative error, absolute relative error. Models were compared with in situ data, considering statistical features and local variability as well. In conclusion, the study gives valuable information into the benefits of using certain geostatistical approaches for variable tasks and problems in the lignite deposits design process. For the assessment of average values of deposit parameters ordinary kriging provides appropriate effects. Geostatisical simulation (e.g. sequential Gaussian simulation - SGSIM) provides much more relevant information for tasks connected to probability (or risk) of defined threshold exceedences than ordinary kriging. Models made with simulation method are characterized by high fidelity of spatial distribution in comparison to source data.