scholarly journals Geodatabase of Publicly Available Information about Czech Municipalities’ Local Administration

Data ◽  
2021 ◽  
Vol 6 (8) ◽  
pp. 89
Author(s):  
Vít Pászto ◽  
Jiří Pánek ◽  
Jaroslav Burian

In this data description, we introduce a unique (geo)dataset with publicly available information about the municipalities focused on (geo)participatory aspects of local administration. The dataset comprises 6258 Czech municipalities linked with their respective administrative boundaries. In total, 55 attributes were prepared for each municipality. We also describe the process of data collection, processing, verification, and publication as open data. The uniqueness of the dataset is that such a complex dataset regarding geographical coverage with a high level of detail (municipalities) has never been collected in Czechia before. Besides, it could be applied in various research agendas in public participation and local administration and used thematically using selected indicators from various participation domains. The dataset is available freely in the Esri geodatabase, geospatial services using API (REST, GeoJSON), and other common non-spatial formats (MS Excel and CSV).

2006 ◽  
Vol 27 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Paul Rodway ◽  
Karen Gillies ◽  
Astrid Schepman

This study examined whether individual differences in the vividness of visual imagery influenced performance on a novel long-term change detection task. Participants were presented with a sequence of pictures, with each picture and its title displayed for 17  s, and then presented with changed or unchanged versions of those pictures and asked to detect whether the picture had been changed. Cuing the retrieval of the picture's image, by presenting the picture's title before the arrival of the changed picture, facilitated change detection accuracy. This suggests that the retrieval of the picture's representation immunizes it against overwriting by the arrival of the changed picture. The high and low vividness participants did not differ in overall levels of change detection accuracy. However, in replication of Gur and Hilgard (1975) , high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. The results suggest that vivid images are not characterised by a high level of detail and that vivid imagery enhances memory for the salient aspects of a scene but not all of the details of a scene. Possible causes of this difference, and how they may lead to an understanding of individual differences in change detection, are considered.


2019 ◽  
Vol 3 (4) ◽  
pp. 772
Author(s):  
Leni Suryani

This research is motivated by the competence of teachers in preparing poor learning outcomes tests and has not been able to measure high-level thinking skills, especially critical thinking skills. Therefore the researcher seeks to improve teacher competence in compiling tests on student learning outcomes based on critical thinking skills through academic supervision. This study uses a school action research design that has stages of planning, implementation, observation, and reflection. This research was conducted for 2 months starting April 9 to May 17, 2019 for Physics teachers in the 7 target schools. Data is sourced from interviews with teachers and test documents prepared by the teacher. Data collection techniques include observation, interviews and documentation. Data analysis through the stages of data collection, data simplification, data presentation, conclusion drawing. Data were analyzed using assessment rubrics adjusted to indicators of critical thinking skills. The results of this study conclude that teacher competence in preparing tests of learning outcomes based on critical thinking skills has increased from the first cycle with a percentage of 61% with sufficient categories to 76% with good categories in cycle II.


2020 ◽  
Vol 36 ◽  
pp. 49-62
Author(s):  
Nureni Olawale Adeboye ◽  
Peter Osuolale Popoola ◽  
Oluwatobi Nurudeen Ogunnusi

Data science is a concept to unify statistics, data analysis, machine learning and their related methods in order to analyze actual phenomena with data to provide better understanding. This article focused its investigation on acquisition of data science skills in building partnership for efficient school curriculum delivery in Africa, especially in the area of teaching statistics courses at the beginners’ level in tertiary institutions. Illustrations were made using Big data of selected 18 African countries sourced from United Nations Educational, Scientific and Cultural Organization (UNESCO) with special focus on some macro-economic variables that drives economic policy. Data description techniques were adopted in the analysis of the sourced open data with the aid of R analytics software for data science, as improvement on the traditional methods of data description for learning and thus open a new charter of education curriculum delivery in African schools. Though, the collaboration is not without its own challenges, its prospects in creating self-driven learning culture among students of tertiary institutions has greatly enhanced the quality of teaching, advancing students skills in machine learning, improved understanding of the role of data in global perspective and being able to critique claims based on data.


Social Change ◽  
2001 ◽  
Vol 31 (1-2) ◽  
pp. 110-143 ◽  
Author(s):  
B. K. Sinha ◽  
H. C. Pokhriyal

In the whole debate of ecological suitability of Tehri Dam, the rehabilitation aspect has been found ignored. Keeping in view of the significance of complete rehabilitation and resettlement of the oustees, the overall rehabilitation process including rural and urban population is analysed in the present paper. In total, 125 villages will be fully or partially submerged affecting more than one lakh population. More than twenty thousand urban populations will also be rehabilitated. It is expected that around 6000 cores of rupees (at 1993 price level) will be spent. Out of which 13% will be spent on the rehabilitation of the oustees. On the basis of the available information, it is found that only 33% of the rural families and 66% of the urban households have actually received the compensation or taken the possession of the land in the new sites. Non availability of land to the rest of the oustee households has been identified as the peculiar dimension of the rehabilitation process. The resettled households in Dehradun and Haridwar districts are facing the problem of geographic continuity, land owner shiprights and absence of institutional mechanism like panchayati raj institutions in the new settlements. The absence of non-farm employment and non-accessibility to the common property resources are the critical problems, including the availability of drinking water, irrigation, primary health and education, which can be observed seen in the rehabilitation sites. The resettlers are unable to adjust with the new environment including a high level of dependency on the market forces for each and every requirement. The partially submerged population is also facing peculiar problems. They will only be given cash compensation without any other compensatory measures. The ‘upstream cost and down stream benefits syndrome’ is strikingly visible in the rehabilitation process. In the urban resettlement process various issues Iike-the validity of survey, classification of urban households and cut off dates are relevant to mention. The positive externalities of the old Tehri town were completely missing in the new urban rehabilitation site. As a whole it can be tentatively said that the process of rehabilitation has been loosely coordinated and badly implemented. The issues of upstream cost, accessibility to common property resources and customary rights are the neglected aspects in the process. The re-organisation of the institutional frame work and granting land ownership rights to the resettlers and quality of the basic amenities are the other inevitable requirements need proper assessment and implementation. The present process of rehabilitation is largely non-participatory and non transparent, which can only be solved through radical measures. These measures are unlikely to be initiated in the present set of Tehri dam administration.


2018 ◽  
Author(s):  
Dewi Putri Handayani ◽  
Rahadian Zainul ◽  
Fajriah Azra

Abstract— This research is aimed to produce a prezi multimedia based on Problem Based Learning (PBL) in Basic Law of Chemistry material and to determine the level ov validaty and practicality based on media’s function. This research is Researc and Development (R&D) which applies 4-D madel: define, design, develop, and disseminate. The research is done until development stage. Determining the level of validity and practicality are done by Chemistry lecturer, Chemistry teacher,and students of class XI IPA SMAN 1 Bukittinggi. The research instrument is questionnaire which consists of validity questionnaire and practicality questionnaire. The technic of data collection is done by distributing questionnaire. The data is analyzed by using moment kappa. From the data analysis,it is found that Prezi Multimedia based on Problem Based Learning (PBL) in Basic Law of Chemistry material has moment kappa validity about 0,85 with very high level of validity, moment kappa practicality from teacher’s evaluation about 0,86 with very high level of practicality, and moment kappa practicality from student’s evaluation about 0,80 with high level of practicality. The learning media that have been developed is proved valid and practical, so it can be used on Chemistry learning process in class X IPA at SMAN 1 Bukittinggi.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Peri Daya Pratama ◽  

Abstract The strategy of developing kemplang cracker products in Dua Putri UMKM sub-district of Bumi Waras, Bandar Lampung city is experiencing a high level of competition, the aim of this research is to produce a strategy that is in accordance with the conditions of the Dua Putri UMKM in developing a business, and to provide strategic input from the results of the research. Data collection techniques in this study were carried out by observation, interviews and questionnaires then analysed by SWOT. It is known that the IFAS value is 3,36080 with a strength factor having a value of 2.51632 and a weakness of 0.84448 with a difference in value (+) of 1.67184. and the EFAS value is 2.82229 with the opportunity factor having a value of 2.30108 and the threat factor 0.52121 with the difference in value (+) 1.77987. This value indicates that the organization is experiencing a period of growth both in sales, taste, and price differences. UMKM two putri kemplang crackers are on average in her quest to pursue a strategy of exploiting strengths to overcome weaknesses. From the results of the Cartecius diagram, that kemplang cracker Dua Putri UMKM are in quadrant 1 (one), namely an aggressive strategy, where this UMKM is in a very favorable position, this UMKM has the opportunity and strength so that it can take advantage of the existing opportunities


Author(s):  
Jamin Pelkey

Analyzing visual meaning online and curating digitized images are topics of increasing relevance, but many potential methodologies for doing so remain merely implicit, underthematized, or unexplored. The potential for testing and developing semiotic theory through the exploration of visual data online also requires far more careful attention. In response, this paper provides an integrated, reflexive, Peircean account of two case studies featuring research projects focused on visual data drawn primarily from sources online, relying heavily on Google Image Search as a data collection tool. The first study illustrates the comparative analysis of brand mark logos to test and refine a theory of embodied semiotics involving oppositional relations. The second study illustrates the comparative analysis of images depicting the Tibetan Wheel of Life and Yama the monster of death, in order to test the embodied grounding hypothesis for the semiotic square. Issues of hypothesis formation, research parameters, data collection, database construction, operationalization, coding parameters, open data archiving and related issues are addressed in order to further develop and encourage practices of researching visual semiotics online in the context of Digital Humanities scholarship.Keywords: Mixed-methods research. Google Image search. Visual content analysis. Semiotic theory. Semiotic methods. Peircean semiotics.


2017 ◽  
Author(s):  
Federica Rosetta

Watch the VIDEO here.Within the Open Science discussions, the current call for “reproducibility” comes from the raising awareness that results as presented in research papers are not as easily reproducible as expected, or even contradicted those original results in some reproduction efforts. In this context, transparency and openness are seen as key components to facilitate good scientific practices, as well as scientific discovery. As a result, many funding agencies now require the deposit of research data sets, institutions improve the training on the application of statistical methods, and journals begin to mandate a high level of detail on the methods and materials used. How can researchers be supported and encouraged to provide that level of transparency? An important component is the underlying research data, which is currently often only partly available within the article. At Elsevier we have therefore been working on journal data guidelines which clearly explain to researchers when and how they are expected to make their research data available. Simultaneously, we have also developed the corresponding infrastructure to make it as easy as possible for researchers to share their data in a way that is appropriate in their field. To ensure researchers get credit for the work they do on managing and sharing data, all our journals support data citation in line with the FORCE11 data citation principles – a key step in the direction of ensuring that we address the lack of credits and incentives which emerged from the Open Data analysis (Open Data - the Researcher Perspective https://www.elsevier.com/about/open-science/research-data/open-data-report ) recently carried out by Elsevier together with CWTS. Finally, the presentation will also touch upon a number of initiatives to ensure the reproducibility of software, protocols and methods. With STAR methods, for instance, methods are submitted in a Structured, Transparent, Accessible Reporting format; this approach promotes rigor and robustness, and makes reporting easier for the author and replication easier for the reader.


Author(s):  
Ivan D. Sanchez-Diaz ◽  
Jesus Gonzalez-Feliu

This chapter studies the implication of aggregating establishments by categories with different levels of detail for modeling FTG. To this effect, the chapter conducts an assessment of freight trip generation (FTG) patterns homogeneity inside activity-based grouping. The method implemented is econometric in nature, which allows the assessment of the statistical significance of variables representing commercial activity sectors and sub-sectors. The results show that for some sectors the traditional high-level aggregation includes sub-sectors with homogenous FTG patterns and thus produces appropriate models; in some other cases (e.g., retail, manufacturing), the sub-sectors have different FTG patterns and thus more detailed data is needed to calibrate accurate models. This research can be used to enhance the efficiency of data collection, as it identifies some sub-sectors that need larger efforts for data collection, and some other categories where FTG homogeneity allows for less detailed data collection without hampering the quality of the models.


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