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Tourism and recreation as a driving force for forecasting biodiversity changes: Lake Engure watershed area as an example

Anonymous (2005). The European Environment—State and Outlook 2005. Copenhagen: European Environment Agency. 584 pp. Anonymous (2006a). Methodological Work on Measuring the Sustainable Development of Tourism. Part.1: Technical Report. European Commission. Office for Official Publications of the European Communities, Luxembourg. Available at: Anonymous (2006b). Standard Indicator Format and Indicator Fact Sheet: 14. Intensity of

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Research on relationship between tourism income and economic growth based on meta-analysis

1 Introduction Since the reform and opening up in 1978, China’s economy has developed rapidly and the proportion of the tertiary industry in the national economy has increased. As an important part of the tertiary industry, the income of tourism has also become the focus of economic development [ 1 ]. With the rapid development of tourism, tourism has gradually become an important symbol of the economy, culture and people’s living standards of a country or region. The relationship between tourism development and economic growth has also increasingly

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Tourism policy and management for conservation of biodiversity in the Lake Engure catchment area

References Anonīms (2011). Tūrisma statistikas dati [Tourism: Statistical data. Talsu TIC. Available at:,Content/id Anonymous (2005). Ecosystems and Human Well-being: Synthesis. Millennium Ecosystem Assessment. Washington, DC: World Resources Institute, Island Press. 155 pp. Available at: Anonymous (2009). TIES, Our Mission. The International Ecotourism Society. Available

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Factors Determining Competitiveness in Healthcare Institutions in Latvia – Results of the EKOSOC-LV National Research Programme

of the Council of 9 March 2011 on the application of patients’ rights in cross-border healthcare. Available from: (accessed 20 December 2018). Anonymous (2014). Health at a Glance: Europe . OECD Publishing, Paris. 131 pp. Available from: (accessed 20 November 2018). Anonymous (2018). Ārstniecības iestādes, kas reģistrējušās medicīnas tūrisma pakalpojumu sniegšanai [Medical Institutions registered for providing of medical tourism

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Weighted Entropic Copula from Preliminary Knowledge of Dependence

. Reports on Mathematical Physics 2 (3), 165-179 [17] G. Grigoraş, D. Dănciulescu, A. Bandoi, 2011. Hierarchically identifica- tion. Recent Researches in Tourism and Economic Development 511-513. In Proceedings of the 1st International Conference on Tourism and Eco- nomic Development (TED 2011), Drobeta Turnu Severin, Romania, Oc- tober 2011. [18] Hao, Z. Singh, V.P., 2013. Modeling multi-site streamow de- pendence with maximum entropy copula. Water Resour. Res., 49, doi: 10.1002/wrcr.20523. [19] Iofie, A.D., Tihomirov, V

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An advance in infinite graph models for the analysis of transportation networks

, International Journal of Applied Mathematics and Computer Science 22(3): 723-732, DOI: 10.2478/v10006-012-0054-1. Ruiz, E., Hernández, M. and Fedriani, E. (2008). The development of mining heritage tourism: A systemic approach, in A.D. Ramos and P.S. Jim´enez (Eds.), Tourism Development: Economics, Management and Strategy, Nova Science Publishers, Inc., Hauppauge, NY, pp. 121-143. Sahimi, M. (1994). Applications of Percolation Theory, Taylor and Francis, London. Stauffer, D. and Aharony, A. (1992). Introduction to Percolation

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Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics

8. References Ahas, R., A. Aasa, A. Roose,Ü . Mark, and S. Silm. 2008. “Evaluating Passive Mobile Positioning Data for Tourism Surveys: An Estonian Case Study.” Tourism Management 29(3): 469–486. Doi: . Ahas, R., S. Silm, O. Järv, E. Saluveer, and M. Tiru. 2010. “Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones.” Journal of Urban Technology 17(1): 3–27. Doi: . ARCEP. 2008. “Le Suivi Des Indicateurs Mobiles – Les

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Modeling and querying facts with period timestamps in data warehouses

., Fuchs, M., Höll, G., Keil, D. and Lexhagen, M. (2013). Multi-dimensional data modelling for a tourism destination data warehouse, Proceedings of the International Conference on Information and Communication Technologies in Tourism 2013, Insbrusck, Austria , pp. 157–169. Jensen, C.S., Pedersen, T.B. and Thomsen, C. (2010). Multidimensional Databases and Data Warehousing , Synthesis Lectures on Data Management, Morgan & Claypool Publishers, San Rafael, CA. Jensen, C.S. and Snodgrass, R.T. (2009). Temporal database, in L. Liu and M. Tamer Özsu (Eds

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The Continuing Evolution of Official Statistics: Some Challenges and Opportunities

References Ahas, R. and M. Tiru. 2012. “Passive Anonymous Mobile Positioning Data for Tourism Statistics.” Paper presented at the 11th Global Forum on Tourism Statistics, Reykjavı´k, 14-16 November 2012. Alajääskö, P., P. Nielsen, S. Rikama, and J. Sisto. 2011. “Global Value Chains - International Sourcing to China and India.” Available at: (accessed 26 September, 2016). Aslam, S

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Fault diagnosis in a networked control system under communication constraints: A quadrotor application

-cost air data attitude heading reference system for the tourism airplane applications, Sensors 2005, Irvine, CA, USA, pp. 1388-1391. Chabir, K., Sauter, D., Abdelkrim, M. and Gayed, M. (2010). Robust fault diagnosis of networked control systems via Kalman filtering, International Journal of Automation and Control 4(3): 343-356. Chabir, K., Sauter, D. and Keller, J. (2009). Design of fault isolation filter under network induced delay, 2009 IEEE Conference on Control Applications (CCA) & Intelligent Control (ISIC), St. Petersburg, Russia, pp

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