With the advent of new technologies, cultural heritage can be experienced within a more complex tourist offer based on highly personalized products, tailored to the needs of visitors through feedback, geo-localization, advanced services and multifunctional information. and in real time. Among the types of tourism in constant and rapid growth there is that linked to cultural heritage, with the inevitable repercussions on local economies, destinations and local communities. Cultural tourism attracts an increasing number of tourists / travelers with changing needs; no longer and not only linked to the search for fun but, also, to those of new experiences aimed at satisfying an intellectual, personal, and emotionally satisfying involvement. The importance of innovation, also seen as a new support for the tourist development of the territories, is translated through ICT that facilitate the use of the territory, but also as a system of informal networks between the population and the territories. The transformative power of intelligent technologies not only in terms of economic potential but also of social and experiential dimensions is now widely recognized. From this perspective, the new initiative of the European Commission "EUROPEAN CAPITAL OF SMART TOURISM - ECoST" should be read, which through the holding of a competition aims to identify the European Capital of Intelligent Tourism. In addition to the deepening of the most recent theoretical conceptualizations, the study will be based on the deepening of the ECoST Project and on the examination of the potential of some Italian cities.

The paper demonstrates the complex issue of the life cycle and renewal of destinations by the example of a destination in Hungary. These days, due to the ever increasing competition among destinations both in domestic and international markets, this is the central issue in the development and management of destinations, especially where recreational and excursionist functions are dominant. The target area chosen can be found in the hinterland of a regional centre, where, in addition to recreational functions, the repositioning efforts of the last ten years led to the more and more important role of sport tourism and supplementary tourism products like ecotourism, heritage tourism and festival tourism. This versatility means another challenge for the actors of the destination, as the main pillars of the renewal of the destination concern all actors in the destination (inhabitants, non-governmental organisations, service providers, and local authority) in some way. During the research thus authors also carried out a questionnaire survey with the local stakeholders (inhabitants, local authority and actors interested in tourism, e.g. holiday home owners, service providers), in addition to the processing of secondary data sources.

Present study is focused on the satellite image processing by means of SAGA GIS. The objective of the study is assessment and analysis of the core urban areas and its spatial distribution in the limits of the city and suburbs. The study area includes Yaoundé and its surroundings, Republic of Cameroon. The methodology includes Object Based Image Segmentation (OBIS) approach by SAGA GIS. The paper presents a methodologically structured workflow used in SAGA GIS for segmentation of the Sentinel-2A image. The segmentation techniques includes adjusting technical parameters, performing neighborhood approach and post-processing procedures (unsupervised classification, number of clusters). The OBIS model and SAGA GIS were used as main methods and machine learning techniques for image segmentation. Data include Sentinel-2A satellite image with high resolution (10 m). The image was analyzed by two approaches of cell neighborhood analysis: Moore and Neumann. The results showed following numerical parameters of the computed area: the perimeter of 1,060,560 km and an area estimated for the Yaoundé city 191,745,000 km2. The Neumann approach demonstrated better results for image clustering. The results presented automatically detected and separated segments of the city areas and other land cover types (savannah, forests, mountains). The spectral reflectance of various land cover types on a satellite image enables to group pixels of the image into classes using segmentation technique which has an important impact on the conceptual methodology of the urban mapping. The results of the image segmentation show the average values of the Neumann approach more correct in urban area than Moore approach. The accuracy assessment demonstrated 74.63% for the core urban area by using the Neumann method. The applicability of SAGA GIS for automated methods of image processing using machine learning algorithm of OBIS is presented and the advantages are discussed. The study demonstrated the effectiveness of the high-resolution Sentinel-2A for socio-economic studies, exemplified by urban mapping where remote sensing data serve as reliable sources of geoinformation. The advantages of the OBIS are discussed with detailed explanation of the SAGA GIS workflow.

Traveling is definitely a way of life for many of us. However, the year of 2020 is the year of great changes, the tourism sector collapsing with the appearance of the COVID-19 pandemic. It is still too early to see the long-term effects caused by this SARS-CoV-2 virus, especially since this paper aims to analyze the situation of the tourism sector in the first half of 2020. Thus, the review of the impediments encountered in international tourism and of some possible ways of tourist recovery for the postpandemic period represented aspects of great interest for the author. Romania being a CarpathianDanubian-Pontic country, has a natural tourist potential that can attract tourists and generate profits that can propel the Romanian tourism sector among the national economic sectors that contribute greatly to the formation of national GDP. It is interesting how this paper presents the situation of a country in which the tourist potential is not properly valued and in the difficult context of the present COVID-19 pandemic, can by implementing key strategies aimed at practicing sustainable tourism, gain "ground" in the international tourism, respecting by the way, at the same time as practicing tourism, the health safety measures that currently represent a daily priority.

Various socio-economic and environmental factors play a vital role in the transmission of many infectious diseases of which some are among the most important cause of mortality and morbidity in the developing countries. Filariasis is the disease of the poor people and has been neglected for more than 50 years in Bangladesh and it is endemic in 23 out of 64 districts of Bangladesh so far. The affected people are generally the poorest and most vulnerable segment of the country. This research article has been made to analyze the prediction of filariasis disease. It discusses how GIS technology can be utilized as an array of several databases and as an effective tool for integrating different sectoral and information of various significant decision-making processes. It utilizes the kriging and cokriging methods of ArcGIS Geostatistical Analyst to predict filariasis occurrences using various socio-economic and environmental parameters and comparing the predicted models for Bangladesh’s northern region which is highly filariasis prone. The resultant prediction model indicates that the probability of filariasis is higher in upazilas neighboring another upazila with high occurrences. The result also shows that the disease incidences decreases with increasing distance from the disease affected regions.