Guides of the Falu Mine : Perceptions of Differences and Similarities onDomestic and International Visitors

Industrial heritage tourism has been in focus for many academic studies and tourism is an alternative developmental tool for mines and contributes to their economic success. This thesis is about the Falu Mine in Dalarna, Sweden, which has World Heritage status since 2001 and is one of the biggest attractions in the region. Its history and cultural importance are reasons for the importance of preserving the heritage. The Falu Mine is under the management of the Great Copper Mountain Trust and one of their ambitions is to ensure the continuous popularity among domestic and international visitors. In order to gain a better understanding of the visitors and to find strategies to improve performance, a visitor survey has been conducted in the summer of 2011. It is the authors believe that the guides of the Falu Mine have the best available insight and that their perceptions help to add to the understanding about the visitors. Therefore, this thesis aims to explore the perceptions of the guides about their visitors, to investigate how the perceptions correspond to the statistical results and to study if there are any differences between domestic and international visitors. The mixed methods approach will increase the depth and accuracy of the results, by linking qualitative with quantitative data. The results show that differences between domestic and international visitors exist, both proven by interviews with the guides and the visitor survey. These differences occur in the factors, such as level of education of the visitors, group size and number of children in the group, knowledge of the visitors prior to and after the visit, sources of information and the fulfillment of the visitor expectations. The perceptions emphasize how these differences impact the guided tours. The guides of the Falu Mine have to be aware of those differences in order to adjust the tour accordingly, as well as the management of the Falu Mine can use this knowledge in order to identify strategies for improving performance.

Tungmetallers påverkan på bottenfaunans artsammansättning i sjön Tisken

The purpose of this study was to investigate how elevated levels of heavy metals affect the faunal species composition, abundance and species-diversity. The bentic macroinvertebrate fauna in the highly polluted lake Tisken was compared with the bentic macroinvertebrate fauna in the unpolluted lake Varpan. Mine wastes account for most of the metal that is discharged into Tisken. The hypotheses was that the heavy metal pollutions in lake Tisken influenced the species composition, abundance and diversity of the macroinvertebrates. Twenty samples were taken in both sites. The invertebrates were collected with a bag net and a plastic cylinder one meter from the shoreline. The invertebrates in the forty samples were classified and statistical analyses were made.Some taxa, common at undisturbed sites, were missing at metal polluted sites. Mayfly larvae, Ephemeroptera, were only found in Varpan. Surprisingly, more taxa were found in the polluted lake Tisken (23 taxa) compared to the unpolluted Varpan (19 taxa). However, the abundance of macroinvertebrates in Varpan (291 individuals) was higher than in Tisken (242 individuals).

Gruvrätten vid Stora Kopparberget 1641-1682 : en undersökning över rannsakade brott och utdömda straff

The purpose of this essay is to examine and explain how the Swedish mining court of Stora Kopparberget (the Great Copper Mountain) implemented its judicial legislation between 1641-1682. Questions are asked about which counts of indictments the court tried, which sentences they handed out, in what quantities and how these results looks in comparison with other contemporary courts. The index cards of the court judicial protocols are the primary source of information. The methods are those of quantity- and comparative analysis.The results show that theft of copper ore was the most common crime ransacked by the court. Other common crimes were (in order): sin of omission, transgression of work directions, fights, slander and disdain, trade of stolen ore, failing appearance in court etc.Fines were by far the most common sentence followed by shorter imprisonments, gauntlets, loss of right to mine possession, twig beating, loss of work, penal servitude, banishment, “wooden horse riding” and finally military transcription. Even though previous re-search, in the field of Swedish specialized courts, is almost non existent evidence confirms great similarities between the Stora Kopparberget mining court and Sala mining court. This essay will, hopefully, enrich our knowledge of specialized courts, of 17th century mining industry and society and let us reach a broader understanding of the working conditions of the mountain.

"Falun ovan från Falun under", ny kunskap om Falu gruva Projektrapport 1 : Metod- och kunskapsutveckling: projektuppbyggnad, att rekonstruera markförhållanden och uppbyggande av dendrokronologiska undersökningar

This report is the first presentation of the project 'Falun above from Falun under' and comprises two reports on ongoing work within the project and two individual articles on dating wood from older parts of the mine and buildings. The main aims of the project were to reconstruct the landscape surrounding Falu Copper mine before mining activity started and to determine how increasing activity in the area affected the environment, and whether this could be measured as a indicator of increasing human impact in the area.

"Falun ovan från Falun under", ny kunskap om Falu gruva. Projektrapport 2 : Jordartskartering och sedimentborrningar runt Falu gruva

This report is the second presentation of the project ‘Falun above from Falun under’ and comprises one report on ongoing work within the project. The main aims of this particular project are to reconstruct the landscape surrounding Falu Copper mine before mining activity started and to determine how increasing activity in the area affected the environment, and whether this could be measured as an indicator of increasing human impact in the area. This report presents the mapping and investigation of quaternary deposits and landscape analysis, the results from cores taken at two lake sites, Önsbacksdammen and Stora Vällan, 14C dating on selected seeds, and planning of continued research within the project.

Factors influencing tourism sustainability : The case of the World Heritage Falun Great Copper Mountain

This thesis focuses on identifying hindrances of achieving a sustainable tourism development on a base of a World Heritage Site. Using a case study of the World Heritage Site Falun Great Copper Mountain, the thesis assesses the situational context by using qualitative methods. Five semi- structured interviews with influential stakeholders were conducted to get an inside view of the current situation and to identify site-specific issues. The thesis identifies a number of factors that determine the successful implementation of measures leading towards sustainable tourism in the long-run; the most important being the lack of clear guidelines for the whole destination and no holistic planning approach within the municipality. The thesis concludes that despite the increased pressures towards establishment of sustainable tourism, the concept remains challenging to operationalize for the World Heritage Site without frameworks and tools from UNESCO.

Predictive models for chronic renal disease using decision trees, naïve bayes and case-based methods

Data mining can be used in healthcare industry to “mine” clinical data to discover hidden information for intelligent and affective decision making. Discovery of hidden patterns and relationships often goes intact, yet advanced data mining techniques can be helpful as remedy to this scenario. This thesis mainly deals with Intelligent Prediction of Chronic Renal Disease (IPCRD). Data covers blood, urine test, and external symptoms applied to predict chronic renal disease. Data from the database is initially transformed to Weka (3.6) and Chi-Square method is used for features section. After normalizing data, three classifiers were applied and efficiency of output is evaluated. Mainly, three classifiers are analyzed: Decision Tree, Naïve Bayes, K-Nearest Neighbour algorithm. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. Efficiency of Decision Tree and KNN was almost same but Naïve Bayes proved a comparative edge over others. Further sensitivity and specificity tests are used as statistical measures to examine the performance of a binary classification. Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified while Specificity measures the proportion of negatives which are correctly identified. CRISP-DM methodology is applied to build the mining models. It consists of six major phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.