Geo Data Science for Tourism

This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations.

Research and Measurement of Software Complexity Based on Wuli, Shili, Renli (WSR) and Information Entropy

Complexity is an important factor throughout the software life cycle. It is increasingly difficult to guarantee software quality, cost and development progress with the increase in complexity. Excessive complexity is one of the main reasons for the failure of software projects, so effective recognition, measurement and control of complexity becomes the key of project management. At first, this paper analyzes the current research situation of software complexity systematically and points out existing problems in current research. Then, it proposes a WSR framework of software complexity, which divides the complexity of software into three levels of Wuli (WL), Shili (SL) and Renli (RL), so that the staff in different roles may have a better understanding of complexity. Man is the main source of complexity, but the current research focuses on WL complexity, and the research of RL complexity is extremely scarce, so this paper emphasizes the research of RL complexity of software projects. This paper not only analyzes the composing factors of RL complexity, but also provides the definition of RL complexity. Moreover, it puts forward a quantitative measurement method of the complexity of personnel organization hierarchy and the complexity of personnel communication information based on information entropy first and analyzes and validates the scientificity and rationality of this measurement method through a large number of cases

Immersive systemic knowing : rational analysis and beyond

Applied systems thinking has rapidly developed through successive waves of development, and the current reigning paradigm is the revisioned approach to critical systems thinking.This research scrutinizes systemic intervention. It employs the methods of second-order science to apply some of its principles reflexively back on to the domain to discover two gaps: one between the espoused aims of systemic intervention and the adequacy of its methods, the other about its dependence on dialogic rationality. It also delves into its philosophical underpinnings to trace the reason for this gap to the ‘ghosts’ of rationalism. This is because modern Western thinking equates consciousness with intentionality. I argue that there is another well-recognised mode of consciousness, that of non-intentionality. I name these two modes as the becoming-striving and the being-abiding orientations.To address the gap, firstly, a characterisation of the systemic ontology is attempted. Three basic features are identified: mindful interconnectedness, enactive cognition and teleonomy. I also describe plausible political, epistemic and pragmatic goals for systems thinking arising from this ontology.Four methods from adjacent disciplines are examined in detail to show that these address the systemic ontology in better fashion than existing systemic approaches. These mature global contemporary approaches access knowings corresponding to the being-abiding orientation, absent in systems thinking.A suitable ontoepistemology for systemic knowing must comprise of two ontologies and epistemologies corresponding to each of the two consciousness modes: four component elements. Suitable conceptual models from other disciplines serve the purpose of these four components. Thus, a model of immersive systemic knowing is assembled, which meets the requirements of a framework for systems thinking in terms of the goals posited.A key feature of this research is the espousal of experiential knowing: not in a phenomenological sense, but in terms of a radical empiricism. It argues for the value of practical knowings that go beyond rationalistic formulation, which are always held in the margins (in the language of boundaries). Systemists must actively seek such experiential knowing to enact truly creative improvement. The only answer to the problem of knowing the world better is to know the shadow aspects of the knowledge generating system. This requires truly radical methods and an extended epistemology, all shown to be available plentifully in other practices and cultures. Testimony is provided from two field projects that were a part of these inquiries, and from practitioner accounts