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Archeologia Polski
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2006
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vol. 51
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issue 1-2
13-42
EN
Final Paleolithic Masovian assemblages occur in small and compact concentrations. Two such concentrations were recorded in trench 4 and another one in trench 9. Spatial research was based on in-depth analysis of the differences in the count of blade and flake blanks and secondary refuse per square meter, as well as a detailed mapping of the distribution of tools and cores. Refttings of products was also carried out. Based on these procedures, it proved possible to identify within the concentrations specific areas where core processing processes took place. The time-spatial relations were then established between the products from the B concentration and the secondarily deposited refuse marked as C in trench 4. Four units with evidence of core processing waste and two from which such evidence was removed were identified in concentration B. Four main knapping areas were noted and two occasional ones, while the secondary refuse consisted of flint material from two of the main knapping sites. The flint concentration in trench 9 was composed of two adjoining knapping areas. The scatter of flint material and the refittings failed to show whether in trench 4 we are dealing with a single episode or two separate, superimposed incidences of habitation. In trench 4, tools were found only around the knapping areas; this concerns points in particular of which one fragment had found its way into the secondary refuse. This indicates that points were produced and damaged projectiles repaired in this area and not, for instance, around the fireplace. The fairly restricted tool kit in the two concentrations in trench 4, as well as no evident focal points for the deposition of tools which could suggest a functional differentiation of household activities, permit the assumption that the discussed remains concerned mainly flint procurement and processing. It is to be concluded that while the nature of settlement in the two flint concentrations is very similar, the spatial arrangement reflecting use of space inside the camp differs substantially. 18 Figures.
EN
The future success, vitality and viability of urban shopping areas in Slovakia have attracted considerable attention from academics and policymakers alike over the last few years. This paper reports the current state of the urban retail environment in Bratislava (Slovakia) as a result of various transition waves that reflect its changes over a forty-four year period (1967 – 2011). The outcome of this paper is the identification of concentric zones with the highest rates of changes based on analysis of old and new retail data from both temporal and spatial aspects. In addition to this, it also offers a variety of approaches to measuring the change of urban retail environment in a post-communist city.
EN
The article deals with one of the big analytical issues in spatial data analysis: spatial autocorrelation. This phenomenon is described as a key concept and potential problem of spatial analysis, but especially as a method of spatial analysis. The method is introduced first by reviewing the basic methodological framework including some related issues (the choice of spatial weighting system etc.) and second by presenting empirical examples of its application. Spatial autocorrelation statistics detect the presence of interdependence between the values of data at neighbouring locations. In addition to global spatial autocorrelation, measuring the overall degree of clustering, and calculated, for example, by Moran's I, emphasis is placed on the local analysis of spatial autocorrelation. This local form of spatial autocorrelation is based on the premise that the presence of spatial autocorrelation can vary across the study area, and it is fully in line with contemporary developments in spatial analysis. The results of LISA (local indicators of spatial association, local Moran) can be mapped for the purpose of identifying clusters. The empirical examples based on aggregate statistical data at the municipal level highlight the relevance and usefulness of analysis of spatial autocorrelation and show how these analyses can be used in social research and can improve our understanding of spatial processes.
Sociológia (Sociology)
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2013
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vol. 45
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issue 5
435 – 469
EN
This article presents an analysis of the Czech presidential elections from the spatial analysis perspective in 2013. The main method applied for classifying the electoral results were spatial autocorrelation and spatial regression which play an important role in spatial statistics and spatial econometrics. First, the regionalisation of the presidential vote is measured to identify the specific regional clusters of votes; the global test (a Moran’s I statistic), and also local indicators of spatial association (a LISA statistic) are used. Secondly, the spatial regression is used to identify the key underlying factors explaining the spatial variation of the electoral results. The analysis proves an independent effect in the case of Morava macro-region for the territorial differences in voting decisions in the presidential elections, in contrast to the Czech parliamentary elections. On the other hand, in the case of the second analysed macro-region (formerly German-inhabited Sudetenland) no such independent effect is evident. Finally, after controlling for the impact of the spatial regimes, the independent effect of non-spatial indicators is analysed. The findings suggest that other factors, with independent effects to the electoral results, was largely easily interpretable. Their effect was largely similar to the impact of these indicators, which previous studies reported in the parliamentary elections, reflecting not only support of the strongest Czech political parties, but also, to a certain extent, the current form of the Czech party system cleavage structures.
EN
Urban areas and suburban areas are characterized by large dynamics of changes in land use. At the expense of agricultural land, and sometimes also forests, the share of built-up areas for residential, industrial, service and transport purposes is increased. Lublin is a city in which this process in recent years has become considerably stronger. The significant change of land use, and consequently the transformation of rural landscapes located in its vicinity, is the result. This paper deals with capturing the changes of land use in the city and suburban area in the last 40 years in a spatial (cartographic) and statistical approach. The basis of the analysis were the topographical maps at the scale of 1:10 000 from the 1970s and 1990s, and aerial photos at the scale of 1:13 000 from 2009, in respect of which the size and dynamics of changes have been specified. The largest changes in land use structure have been found in relation to arable land (loss of more than 8,6%), intensive densely built-up area (increase of 2,4%) and low density built-up area (increase of 5%). The communities Jastków, Konopnica, Wólka, Głusk have been areas of the greatest changes. Qualitative changes have been also examined.
EN
The Early Bronze Age fortified settlement near Vráble-Fidvár is one of the most important archaeological sites in Europe. This paper is trying to review the field walking campaign of 2007 at the site, from the perspective of methodology and state of research. Its purpose is to introduce an unconventional method of data evaluation known as (spatial) sampling. The article deals with a concept of two-stage sampling which in combination with spatial interpolation aims to demonstrate an effective way of processing large archaeological datasets. Sampling design is divided into two phases. First, disproportional stratified sampling shows preliminary spatial patterns which will be completed by second phase of adaptive cluster sampling. Basic information about the design, its aims and sample size are provided within.
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