scholarly journals Population size in the space of parishes of the Kolyvano-Voskresensky mountain district in the second half of the 18th century: GIS capabilities for analyzing data sets

Author(s):  
V. Vladimirov ◽  
◽  
D. Sarafanov ◽  
E. Krupochkin

As a key task, the authors consider the issue of creating historical GIS that allow analyzing the distribution of data on the population by church parishes. As well as a model for constructing the boundaries of parishes is proposed. Based on statistical data concentrated in GIS, a series of maps has been developed that reflect the population size within the boundaries of parishes for several time periods. The types of parishes existing in the Barnaul spiritual government (urban, at factories, rural, at military fortifications, at mines) are highlighted, the dynamics of the population size is analyzed both within the framework of individual parishes and within the boundaries of the selected types.

1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.


2018 ◽  
Vol 6 ◽  
pp. 1199-1206
Author(s):  
Iskra Simova ◽  
Tsvetelina Petrova ◽  
Rositsa Velichkova ◽  
Detelin Ganchev Markov ◽  
Milka Uzunova ◽  
...  

Disasters caused by natural phenomena or human activities often occur in the Republic of Bulgaria. Their social and economic consequences can have a significant adverse effect on the development of the country and its economic growth, therefore disaster risk reduction is very important for sustainable development. This paper presents an overview of the main natural and man-made hazards in Bulgaria. A descriptive analysis of the critical disasters in Bulgaria for the time periods of 2003-2008 and 2010–2016 is made. The survey is based on the classification of the hazards. Existing statistical data is reviewed and analysed and, as a consequence, recommendations are proposed.


1981 ◽  
Vol 8 (1) ◽  
pp. 147 ◽  
Author(s):  
IH Eberhard ◽  
RJ Pearse

'Cape Barren geese are restricted to the coastline of southern Australia; the Furneaux Group of islands, at the eastern end of Bass Strait, is one of two principal population centres. Population size has fluctuated since Europeans first settled in the Group at the end of the 18th century, as a result of variable predation on birds and eggs and of changes to habitat. Population monitoring began in 1957; numbers of geese appear to have at least doubled up to 1973. During this period large flocks of geese have grazed paddocks of improved pasture on Flinders I., the largest island of the Group, and this had led to outcry from local farmers. Because these geese are widely considered to be a rare species, shooting has prompted significant public concern. This paper describes the development and implementation of a management program to conserve Cape Barren geese in the Furneaux Group, while minimizing real hardships experienced by farmers and improving public understanding of the problem.


Author(s):  
Arminée Kazanjian ◽  
Kathryn Friesen

AbstractIn order to explore the diffusion of the selected technologies in one Canadian province (British Columbia), two administrative data sets were analyzed. The data included over 40 million payment records for each fiscal year on medical services provided to British Columbia residents (2,968,769 in 1988) and information on physical facilities, services, and personnel from 138 hospitals in the province. Three specific time periods were examined in each data set, starting with 1979–80 and ending with the most current data available at the time. The detailed retrospective analysis of laboratory and imaging technologies provides historical data in three areas of interest: (a) patterns of diffusion and volume of utilization, (b) institutional profile, and (c) provider profile. The framework for the analysis focused, where possible, on the examination of determinants of diffusion that may be amenable to policy influence.


2021 ◽  
Vol 31 (1) ◽  
Author(s):  
Azarnoosh Kafi ◽  
Behrouz Daneshian ◽  
Mohsen Rostamy-Malkhalifeh

Data Envelopment Analysis (DEA) is a well-known method that based on inputs and outputs calculates the efficiency of decision-making units (DMUs). Comparing the efficiency and ranking of DMUs in different time periods lets the decision makers to prevent any loss in the productivity of units and improve the production planning. Despite the merits of DEA models, they are not able to forecast the efficiency of future time periods with known input/output records of the DMUs. With this end in view, this study aims at proposing a forecasting algorithm with a 95% confidence interval to generate fuzzy data sets for future time periods. Moreover, managers’ opinions are inserted in the proposed forecasting model. Equipped with the forecasted data sets and with respect to the data sets from previous periods, this model can rightly forecast the efficiency of the future time periods. The proposed procedure also employs the simple geometric mean to discriminate between efficient units. Examples from a real case including 20 automobile firms show the applicability of the proposed algorithm.


2017 ◽  
Author(s):  
Ye Yuan ◽  
Ludwig Ries ◽  
Hannes Petermeier ◽  
Martin Steinbacher ◽  
Angel J. Gómez-Peláez ◽  
...  

Abstract. Critical data selection is essential for determining representative baseline levels of atmospheric trace gas measurements even at remote measuring sites. Different data selection techniques have been used around the world which could potentially lead to bias when comparing data from different stations. This paper presents a novel statistical data selection method based on CO2 diurnal pattern occurring typically at high elevated mountain stations. Its capability and applicability was studied for atmospheric measuring records of CO2 from 2010 to 2016 at six Global Atmosphere Watch (GAW) stations in Europe, namely Zugspitze-Schneefernerhaus (Germany), Sonnblick (Austria), Jungfraujoch (Switzerland), Izaña (Spain), Schauinsland (Germany) and Hohenpeissenberg (Germany). Three other frequently applied statistical data selection methods were implemented for comparison. Among all selection routines, the new method named Adaptive Baseline Finder (ABF) resulted in lower selection percentages with lower maxima during winter and higher minima during summer in the selected data. To investigate long-term trend and seasonality, seasonal decomposition technique STL was applied. Compared with the unselected data, mean annual growth rates of all selected data sets were not significantly different except for Schauinsland. However, clear differences were found in the annual amplitudes as well as for the seasonal time structure. Based on correlation analysis, results by ABF selection showed a better representation of the lower free tropospheric conditions.


Author(s):  
V. V. Lygdenova ◽  
O. B. Dashinamzhilov

The paper is dedicated to studying the history of population, songs and wedding traditions of the Barguzin Buryats, who live in Barguzin and Kurumkan regions of the Republic of Buryatia. Barguzin Buryats represent the local ethnical group of Buryats who moved from the banks of the Lena River in the 18th century and settled in the Barguzin Valley, where they have lived up to now. Wedding traditions of Buryats were studied by many scholars such as M. N. Khangalov, S. P. Baldayev, K. D. Basaeva, G. R. Galdanova, and others. The paper’s relevance is due to the novel field materials collected by the authors in 2018−2019, including songs, wishes, cliché dialogues, etc. For in- stance, the tradition assumes many cliché dialogues during the ritual of matchmaking, and they are also described in the paper. Also, different fragments of songs for putting on different parts of wedding clothes and accessories are considered. All the songs were collected from the old women living in different villages of Barguzin and Kurumkan regions. They were recorded in the Barguzin dialect of the Buryat language. The songs were sung by their mothers, and the women inherited their traditional performance. The paper summarizes the peculiarities of modern wedding traditions of Barguzin Buryats, with the fragments of songs provided. Each wedding stage is described, and the sequence of actions is specified.


2021 ◽  
Author(s):  
D. Below ◽  
J. Mairanowski ◽  
F. Mairanowski

AbstractThe present work is a continuation and development of research on prediction and analysis of the spread of the COVID-19 epidemic.The proposed model adequately describes the development of the coronavirus epidemic with insufficient adherence to quarantine and social distancing. The transition from the absolute number of infected persons to their relative number per inhabitant of a settlement makes it possible to obtain universal calculation ratios.In performing the calculations, the choice of the date of the beginning of the epidemic is of great importance. Recommendations are given on how to determine the date of the beginning of the epidemic based on the analysis of statistical data on the spread of the epidemic. The coefficient of virus transmission rate k included in the calculated prognostic relation depends on the population size and the type of virus strain in the settlement in question. A simple ratio for calculating this coefficient as a function of population size is proposed.Control calculations performed using only a single empirical coefficient showed high accuracy. The calculated curves for Germany, Berlin, and its districts agree well with the corresponding statistical data. The correlation coefficients between the corresponding curves reach values of 0.93 to 0.97. The further development of the model should thus go in the direction of identifying causal links between the intensity of the epidemic and the main factors affecting this process. Some of these factors are related to the characteristics of the population’s behaviour and the infrastructure of cities. The increase in the incidence in areas with a large percentage of the population rooted in Islamic countries is one of the main factors determining the development of the epidemic in Berlin. In order to explain and clarify this conclusion, it is necessary to make further assumptions about the possible emergence of a new strain of coronavirus in Berlin and in Germany and, accordingly, about the possibility of new epidemic waves. A preliminary ratio for predicting the spread of the epidemic under conditions of simultaneous existence of both strains of coronavirus is given.Simplicity of the proposed prognostic method and high accuracy of the results allow to recommend it as an effective tool for operative analysis of various measures aimed to control the spread of COVID-19 epidemic including mass vaccination of population.


Sign in / Sign up

Export Citation Format

Share Document