Geospatial information infrastructures

Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Geospatial information infrastructures (GIIs) provide the technological, semantic,organizationalandlegalstructurethatallowforthediscovery,sharing,and use of geospatial information (GI). In this chapter, we introduce the overall concept and surrounding notions such as geographic information systems (GIS) and spatial datainfrastructures(SDI).WeoutlinethehistoryofGIIsintermsoftheorganizational andtechnologicaldevelopmentsaswellasthecurrentstate-of-art,andreflectonsome of the central challenges and possible future trajectories. We focus on the tension betweenincreasedneedsforstandardizationandtheever-acceleratingtechnological changes. We conclude that GIIs evolved as a strong underpinning contribution to implementation of the Digital Earth vision. In the future, these infrastructures are challengedtobecomeflexibleandrobustenoughtoabsorbandembracetechnological transformationsandtheaccompanyingsocietalandorganizationalimplications.With this contribution, we present the reader a comprehensive overview of the field and a solid basis for reflections about future developments

Reconceptualising public spaces of (IN)equality: sensing and creating layers of visibility

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Geografia e Planeamento Territorial - Especialidade: Geografia HumanaSpace and social identities mutual relation of constitution and reproduction lead us to the understanding that space reflects power relations and hegemonic discourses, and that inequality can perpetuate itself through the ways space is organized, experienced, represented and created. Public spaces are constructed around particular notions of appropriate sexual comportment, reflecting and reproducing heteronormativity, as they exclude non-normative sexualities, such as lesbian sexualities. In a context of a heteronormative socio-spatial landscape women can decide not to disclose their non-normative sexual orientation, leading to a pervasive invisibility of lesbian sexualities in public spaces. Concurrently the pervasive invisibility of lesbian sexualities in public spaces reinforces power inequalities, feeding back the heteronormative socio-spatial landscape. Discrimination on grounds of sexual orientation is still a widespread reality in Portugal in spite of the significant legal advances towards equality in recent years. Discriminated minority groups, such as lesbians, experience power inequalities in their everyday lives, and their spatial invisibility in public spaces contributes to their disempowerment. Communication technologies recast the organization and production of the spatial and temporal scenes of social life and they open new possibilities of public action. The production of alternative representations of space, based on individuals’ georeferenced experiences, thoughts and emotions are increasingly supported by the potentialities of Internet based technologies, such as the ever more easy-to-use online software. The potential of these technologies to promote the agency, to change power relations and to disrupt the hegemonic discourse increase as more people become the authors of a complementary flow of knowledge, information, memories and stories. This research explores the potential of geospatial online practices, based upon the experiences, emotions and feelings of lesbian and bisexual women to disclose the socially encoded meanings of different bodies in specific spatial, temporal and cultural contexts, highlighting how spaces and sexual identities are mutually constitutive. This research project aims to explore the potential of collaborative web mapping to promote the agency and empowerment of lesbian and bisexual women. It is structured in three phases: ‘Mapping the landscape’ aims to map spaces of lesbian and gay visibility in public spaces to contextualise the hetero pervasive reality in Portugal; the second phase ‘Sensing the landscape’ focuses on the intersections of gender and sexual orientation, aiming to identify significant dimensions of space and places that relate to lesbian and bisexual women sexual identities; and the third and final phase of the research ‘Creating landscapes’ explores how creating and sharing digital layers of lesbian visibility on collaborative web maps can disrupt a hetero pervasive reality and impact social identity and belonging, building capacities for action of lesbian and bisexual women, and facilitating same-sex public displays of affection. Ultimately, this research aims to explore the empowering potentialities of geospatial online practices to provide alternative possibilities for citizenship, and foster social change

Using Ambient Geographic Information (AGI) in Order to Understand Emotion & Stress within Smart Cities

Oliveira, T. H., & Painho, M. (2015). Using Ambient Geographic Information (AGI) in Order to Understand Emotion & Stress within Smart Cities. In F. Bação, M. Y. Santos, & M. Painho (Eds.), AGILE 2015 : 18th AGILE International Conference on Geographic Information Science: Geographic Information Science as an Enabler of Smarter Cities and Communities AGILE.Since one of the main ambitions of a smart city is to improve urban functions and provided services, it is often perceived as a living urban fabric, in which connected urban citizens, acting as active sensors, have the capacity to contribute even more efficiently to the spatial intelligence of cities. This “immaterial” dimension is related with the need that smart cities have to assess their citizen’s feelings, perception and well-being, giving rise to an emotion-aware city. Mapping emotion builds on a tradition of studies in cognitive mapping, evaluative mapping, environmental preference and environmental affect, adding an approach in which people experience, evaluate and describe their environment “in situ” through social media. This paper aims to present an Ambient Geographic Information (AGI) approach to assemble geo-tagged data from Twitter, Flickr, Instagram and Facebook related with people’s perception and feelings regarding Lisbon (Portugal), and therefore characterize its emotional dimension, by comparing these subjective observations with objective measurements (such as socio-demographic statistics, questionnaires and data retrieved from biometric sensors). With this vision of a smart city, that is capable to interpret and harnessing the emotional states of its citizens, it is essential to find new methods and techniques to sensing affect in an urban context.publishersversionpublishe

A European research roadmap for optimizing societal impact of big data on environment and energy efficiency

We present a roadmap to guide European research efforts towards a socially responsible big data economy that maximizes the positive impact of big data in environment and energy efficiency. The goal of the roadmap is to allow stakeholders and the big data community to identify and meet big data challenges, and to proceed with a shared understanding of the societal impact, positive and negative externalities, and concrete problems worth investigating. It builds upon a case study focused on the impact of big data practices in the context of Earth Observation that reveals both positive and negative effects in the areas of economy, society and ethics, legal frameworks and political issues. The roadmap identifies European technical and non-technical priorities in research and innovation to be addressed in the upcoming five years in order to deliver societal impact, develop skills and contribute to standardization.Comment: 6 pages, 2 figures, 1 tabl

Green crime, space, and place: an examination of the role of environmental victims in the treadmill of crime

2021 Spring.Includes bibliographical references.This project uses the concepts of "place" and "space" as defined by the geography field to examine the role of environmental victims in the treadmill of crime theoretical framework. The current roles of environmental victims within the treadmill of crime are primarily complacent actors or environmental activists. This study uses in-depth interviews, critical content analysis, and geospatial mapping to further explore how environmental victims respond to environmental harm as enacted by the treadmill of crime. Through applying space and place to the analysis of environmental victims, we find a more nuanced understanding of environmental victims' responses to environmental harm. Through examining a community's sense of place, we find that the environmental victims' role is more complex than simply abiding with exploitation or pushing against it. In this case, environmental victims employed agency through this manufactured sense of place to accept further extraction in their community

Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

Background: Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient’s quality of life. TheTrackYourTinnitus (TYT) mobile health (mHealth) crowdsensing platform was developed for two operating systems (OS)—Android and iOS—to help patients demystify the daily moment-to-moment variations of their tinnitus symptoms. In all platforms developed for more than one OS, it is important to investigate whether the crowdsensed data predicts the OS that was used in order to understand the degree to which the OS is a confounder that is necessary to consider. Objective: In this study, we explored whether the mobile OS—Android and iOS—used during user assessments can be predicted by the dynamic daily-life TYT data. Methods: TYT mainly applies the paradigms ecological momentary assessment (EMA) and mobile crowdsensing to collect dynamic EMA (EMA-D) daily-life data. The dynamic daily-life TYT data that were analyzed included eight questions as part of the EMA-D questionnaire. In this study, 518 TYT users were analyzed, who each completed at least 11 EMA-D questionnaires. Out of these, 221 were iOS users and 297 were Android users. The iOS users completed, in total, 14,708 EMA-D questionnaires; the number of EMA-D questionnaires completed by the Android users was randomly reduced to the same number to properly address the research question of the study. Machine learning methods—a feedforward neural network, a decision tree, a random forest classifier, and a support vector machine—were applied to address the research question. Results: Machine learning was able to predict the mobile OS used with an accuracy up to 78.94% based on the provided EMA-D questionnaires on the assessment level. In this context, the daily measurements regarding how users concentrate on the actual activity were particularly suitable for the prediction of the mobile OS used. Conclusions: In the work at hand, two particular aspects have been revealed. First, machine learning can contribute to EMA-D data in the medical context. Second, based on the EMA-D data of TYT, we found that the accuracy in predicting the mobile OS used has several implications. Particularly, in clinical studies using mobile devices, the OS should be assessed as a covariate, as it might be a confounder

Introduction

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book explores the idea of urban design as a virtual space evolves as a reflexive instance between pixels and ideas that help to develop a new perception of space and social life. It explores inter alia, routines and perceptions where we often do not even recognize that the virtual has entangled with reality. The book describes a cognitive design computing system for urban planners. It focuses on understanding the relationship between an emergent structure and processes. The book discusses four game concepts ranging from very serious games to more playful virtual game-based environments. All created games may be used to facilitate participatory processes in urban planning. The book demonstrates how Volunteered Geographic Information (VGI) and virtual platforms can be implemented for a mobile device and offers ten key questions that need to be asked in the process of creating a facilitated-VGI