International tourism is an important source of service exports to Spain and its regions, particularly the Balearic Islands. Tourism is the major industry in the Balearic Islands, accounting for about 85% of GDP (see Riera, 2003). This paper examines the time series properties of international tourism demand to the Balearic Islands. The data set comprises monthly figures from two leading touris...

Public transportation time schedules are often littered with extraneous data irrelevant to passengers who only seek the next immediate arrival. We explore how the inclusion of visual encodings in time schedules allows users to easily identify and determine the fastest routes to their destinations. We present this solution in the form of a visualization system in which users select their point o...

This paper proposes a novel graphical method (3D-LD) based on wavelets for studying scaling and non-stationary signals. We show that it allows to better study the timescale-dependent qualitative properties of such signals, compared to the classical techniques. By using the 3D-LD, we study two recent network traffic traces to understand the actual nature of scaling in TCP flow arrivals. We show ...

Ocean bottom seismometer observations at 5000 m depth during the long-range ocean acoustic propagation experiment in the North Pacific in 2004 show robust, coherent, late arrivals that are not readily explained by ocean acoustic propagation models. These "deep seafloor" arrivals are the largest amplitude arrivals on the vertical particle velocity channel for ranges from 500 to 3200 km. The trav...

Analysis of data from the NPAL04 experiments has shown that there are three principal types of arrival in long-range ocean acoustic propagation: 1) arrivals predicted by PE model calculations (RR, RSR, RBR, SRBR ray paths and the mode-like finale region), 2) deep shadow zone arrivals arising from the spread of energy below PE predicted turning points (caustics) and attributed to internal waves ...

The study attempts to test a hypothesis and explore some additional empirical evidences of a causal relationship between International Tourist Arrivals, Foreign Direct Investment (FDI) and Economic Growth (GDP). Although tourism has been regarded as one of the most dynamic economic industries in the world, the previous studies of the causality between three variables are exceptionally rare. In ...

5 This paper introduces Singular Spectrum Analysis (SSA) for tourism demand forecasting 6 via an application into total monthly U.S. Tourist arrivals from 1996-2012. The global 7 tourism industry is today, a key driver of foreign exchange inflows to an economy. Here, we 8 compare the forecasting results from SSA with those from ARIMA, Exponential Smoothing 9 (ETS) and Neural Networks (NN). We f...

This paper proposes a novel graphical tool based on wavelets for studying the nonstationary and scaling properties of general signals, which we call the 3D-LD. We show that it allows to better study the timescale-dependent qualitative properties of non-stationary and scaling signals, compared to the classical techniques. Based on the 3D-LD, this paper analyzes several long network traffic trace...

The use of traditional positioning technologies relies on the underlying infrastructures. However, for the subway environment, such positioning systems may not be available for the positioning tasks, such as the detection of the train arrivals for the passengers in the train. An alternative way is to exploit the contextual information available in the mobile devices of subway riders. To this en...