scholarly journals Shattering the Screen: Embodied Narrative in Digital Media

2017 ◽  
Vol 25 (1) ◽  
pp. 8-17 ◽  
Author(s):  
Russell J. Cook
Keyword(s):  
Digital Media ◽  
Phenomenological Inquiry ◽  
Time Compression ◽  
Screen Media ◽  
Space And Time ◽  
Spatio Temporal ◽  
Screen Space

This illustrated phenomenological inquiry into storytelling in screen media identifies important media transformations of experience. Viewers embody, or situate their experienced selves, according to screen requirements. A viewer’s compelled perspective on the screen causes fundamental spatio-temporal transformations of narrative experience, including horizontal stretching of screen space and time compression or leakage. Virtual media have the potential, as yet unrealized, to break out of the screen and to restore narrative to its primordial, experiential roots.

Texts: A Case Study of Joint Action

SATS ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nivedita Gangopadhyay ◽  
Alois Pichler
Keyword(s):  
Social Cognition ◽  
Digital Media ◽  
Philosophy Of Mind ◽  
Joint Action ◽  
Digital Humanities ◽  
Linguistic Communication ◽  
Unique Type ◽  
Joint Actions ◽  
Spatio Temporal

Abstract Our linguistic communication often takes the form of creating texts. In this paper, we propose that creating texts or ‘texting’ is a form of joint action. We examine the nature and evolution of this joint action. We argue that creating texts ushers in a special type of joint action, which, while lacking some central features of normal, everyday joint actions such as spatio-temporal collocation of agency and embodiment, nonetheless results in an authentic, strong, and unique type of joint action agency. This special type of agency is already present in creating texts in general and is further augmented in creating texts through digital media. We propose that such a unique type of joint action agency has a transformative effect on the experience of our sense of agency and subjectivity. We conclude with the implications of the proposal for social cognition and social agency. The paper combines research in philosophy of mind with the emerging fields of digital humanities and text technology.

Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales – Geostatistical interpolation framework

2021 ◽  
Author(s):  
Micha Eisele ◽  
Maximilian Graf ◽  
Abbas El Hachem ◽  
Jochen Seidel ◽  
Christian Chwala ◽  
...  
Keyword(s):  
Meteorological Data ◽  
Pearson Correlation ◽  
Urban Catchment ◽  
Space And Time ◽  
Geostatistical Interpolation ◽  
Primary Network ◽  
Ground Measurement ◽  
Catchment Areas ◽  
Important Input ◽  
Spatio Temporal

<p>Precipitation - highly variable in space and time - is the most important input for many hydrological models. As these models become more and more detailed in space and time, high-resolution input data are required. Especially for modeling and prediction in fast reacting catchments, such as urban catchment areas, a higher space-time resolution is needed than the current ground measurement networks operated by national weather services usually provide. With the increasing number and availability of opportunistic sensors such as commercial microwave links (CMLs) and personal weather stations (PWS) in recent years, new opportunities for measuring meteorological data are emerging.</p><p>We developed a geostatistical interpolation framework which allows a combination of different opportunistic sensors and their specific features and geometric properties, e.g. point and line information. In this framework, a combined kriging approach is introduced, taking into account not only the point information of a reliable primary network, e.g., from national weather services, but also the higher uncertainty of the PWS- and CML-based precipitation. The path-averaged information of the CMLs is included through a block kriging-type approach.</p><p>The methodology was applied for two 7-months periods in Germany using an hourly temporal and a 1x1 km spatial resolution. By incorporating CMLs and PWS, the Pearson correlation could be increased from 0.56 to 0.73 compared to using only primary network for interpolation. The resulting precipitation maps also provided good agreement compared to gauge adjusted radar products.</p>

Making It for the Screen

2015 ◽  
pp. 249-264
Author(s):  
Paul Chilsen
Keyword(s):  
Digital Media ◽  
Media Literacy ◽  
Teaching And Learning ◽  
Authentic Learning ◽  
The Internet ◽  
Creation Process ◽  
Screen Media ◽  
The World ◽  
The Creation ◽  
Digital Media Literacy

We are immersed in a culture of spoken media, written media, and now irrevocably, digital screen media. Just as writing and speaking skills are keys to functioning in society, we must consider that the world increasingly demands proficiency in “mediating” as well. Doing anything less leaves this powerful medium in the hands of a relative few. By offering instruction in what digital screen media is, how it is effectively created, how the Internet continues to alter communication, and how this all informs everyday teaching and learning, digital media literacy can become more broadly understood and accessible. This chapter follows a program developed by the Rosebud Institute and looks at how—using simple, accessible technology—people can become more digital media literate by creating screen products themselves. The creation process also enables deeper, more authentic learning, allowing us all to communicate more effectively, to self-assess more reflectively, and to thrive in a screen-based world.

scholarly journals Seasonal survival and migratory connectivity of the Eurasian Oystercatcher revealed by citizen science

The Auk ◽  
2019 ◽  
Vol 136 (1) ◽  
Author(s):  
Andrew M Allen ◽  
Bruno J Ens ◽  
Martijn Van de Pol ◽  
Henk Van der Jeugd ◽  
Magali Frauendorf ◽  
...  
Keyword(s):  
Citizen Science ◽  
Avian Species ◽  
Future Research ◽  
Migratory Connectivity ◽  
Space And Time ◽  
Demographic Rates ◽  
Breeding Populations ◽  
Spatio Temporal ◽  
Using Data ◽  
Model Structures

Abstract Migratory connectivity describes linkages between breeding and non-breeding areas. An ongoing challenge is tracking avian species between breeding and non-breeding areas and hence estimating migratory connectivity and seasonal survival. Collaborative color-ringing projects between researchers and citizen scientists provide opportunities for tracking the annual movements of avian species. Our study describes seasonal survival and migratory connectivity using data from more than 4,600 individuals with over 51,000 observations, predominantly collected by citizen scientists. Our study focuses on the Eurasian Oystercatcher (Haematopus ostralegus), a species that has experienced a substantial and ongoing decline in recent decades. Multiple threats have been described, and given that these threats vary in space and time, there is an urgent need to estimate demographic rates at the appropriate spatio-temporal scale. We performed a seasonal multi-state (5 geographical areas within The Netherlands) live- and dead-recoveries analysis under varying model structures to account for biological and data complexity. Coastal breeding populations were largely sedentary, while inland breeding populations were migratory and the direction of migration varied among areas, which has not been described previously. Our results indicated that survival was lower during winter than summer and that survival was lower in inland areas compared with coastal areas. A concerning result was that seasonal survival of individuals over-wintering in the Wadden Sea, an internationally important site for over-wintering shorebirds, appeared to decline during the study period. We discuss the outcomes of our study, and how citizen science was integral for conducting this study. Our findings identify how the demographic rates of the oystercatcher vary in space and time, knowledge that is vital for generating hypotheses and prioritizing future research into the causes of decline.

A spatio-temporal analysis of non-farm enterprise performance in Uganda: 2010-2012

2016 ◽  
Vol 7 (4) ◽  
pp. 535-546
Author(s):  
Nkechi Srodah Owoo
Keyword(s):  
Firm Performance ◽  
Information Exchange ◽  
Business Performance ◽  
Spillover Effects ◽  
Developed Countries ◽  
Enterprise Performance ◽  
Content Type ◽  
Space And Time ◽  
Knowledge Transfers ◽  
Spatio Temporal

Purpose Recent research into enterprise performance has focussed on the importance of firm proximity to total productivity. Using spatial correlation of firm performance as a proxy for knowledge transfers and diffusion, the purpose of this paper is to examine the evidence for these spatial effects in non-farm enterprise performance in Uganda, across space and time. Design/methodology/approach The author uses data from the geo-referenced Uganda National Panel Survey from 2010 to 2012, and employs explicit spatial techniques in the analysis of rural non-farm enterprise performance. Spatial autocorrelation of firm performance are used as proxies for knowledge transfers and information flows among enterprises across space and over time. Findings The study finds evidence of spatial spillover effects across space and time in Uganda. This implies that, as existing studies of developed countries have found, social infrastructure and firm proximity contribute significantly to the performance of rural economies, through information exchange and knowledge transfers. Practical implications Given the communal nature of rural households in the African setting, knowledge exchange and transfers among neighbouring firms should be encouraged as studies have found they have strong effects on business performance. Additionally, business “leaders” could also be useful in disseminating useful new technologies and applications to neighbouring enterprises in order to boost performance and productivity. Social implications There should be better targeting of policy interventions to clusters of particularly needy enterprises. Originality/value To the best of the author’s knowledge, this is the first time that spatio-temporal effects of business performance have been explored. While spatial analyses of business performance have been carried out in developed countries, studies using explicit spatial techniques in the developing country setting have been conspicuously absent.

scholarly journals Re-Arranging Space, Time and Scales in GIS: Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses

2019 ◽  
Vol 8 (2) ◽  
pp. 72 ◽  
Author(s):  
Yi Qiang ◽  
Nico Van de Weghe
Keyword(s):  
Spatial Data ◽  
Spatial Scales ◽  
Space Time ◽  
Unified Framework ◽  
Temporal Modeling ◽  
Multi Scale ◽  
Space And Time ◽  
Pyramid Model ◽  
Temporal And Spatial ◽  
Spatio Temporal

The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with complex temporal and spatial extents and the variation of data at multiple temporal and spatial scales. This article presents alternative representations that incorporate the scale dimension into time and space. The article first reviews a series of work about the triangular model (TM), which is a multi-scale temporal model. Then, it introduces the pyramid model (PM), which is the extension of the TM for spatial data, and demonstrates the utility of the PM in visualizing multi-scale spatial patterns of land cover data. Finally, it discusses the potential of integrating the TM and the PM into a unified framework for multi-scale spatio-temporal modeling. This article systematically documents the models with alternative arrangements of space and time and their applications in analyzing different types of data. Additionally, this article aims to inspire the re-thinking of organizations of space, time, and scales in the future development of GIS and analytical tools to handle the increasing quantity and complexity of spatio-temporal data.

scholarly journals Spatio-temporal information in an artificial olfactory mucosa

2008 ◽  
Vol 464 (2092) ◽  
pp. 1057-1077 ◽  
Author(s):  
Manuel A Sánchez-Montañés ◽  
Julian W Gardner ◽  
Timothy C Pearce
Keyword(s):  
Analytical Model ◽  
Temporal Dynamics ◽  
Stationary Phases ◽  
Formal Analysis ◽  
Discrimination Performance ◽  
Olfactory Mucosa ◽  
Temporal Information ◽  
Information Measure ◽  
Space And Time ◽  
Spatio Temporal

Deploying chemosensor arrays in close proximity to stationary phases imposes stimulus-dependent spatio-temporal dynamics on their response and leads to improvements in complex odour discrimination. These spatio-temporal dynamics need to be taken into account explicitly when considering the detection performance of this new odour sensing technology, termed an artificial olfactory mucosa. For this purpose, we develop here a new measure of spatio-temporal information that combined with an analytical model of the artificial mucosa, chemosensor and noise dynamics completely characterizes the discrimination capability of the system. This spatio-temporal information measure allows us to quantify the contribution of both space and time to discrimination performance and may be used as part of optimization studies or calculated directly from an artificial mucosa output. Our formal analysis shows that exploiting both space and time in the mucosa response always outperforms the use of space alone and is further demonstrated by comparing the spatial versus spatio-temporal information content of mucosa experimental data. Together, the combination of the spatio-temporal information measure and the analytical model can be applied to extract the general principles of the artificial mucosa design as well as to optimize the physical and operating parameters that determine discrimination performance.

The urban incubator: (De)constructive (re)presentation of heterotopian spatiality and virtual image(ries)

First Monday ◽  
2006 ◽  
Author(s):  
Wael Salah Fahmi
Keyword(s):  
Place Identity ◽  
Urban Spaces ◽  
Virtual Image ◽  
De Re ◽  
Time Compression ◽  
Visual Semiotics ◽  
Production And Consumption ◽  
Spatio Temporal ◽  
The City ◽  
Real City

This paper provides an imaginary navigation with the camera’s eye to grasp the psychogeography of post-modern urban spatial fragments, whilst considering the proliferation and fragmentation in production and consumption of phantasmagoric other (‘unconscious’ and ‘hidden’) urban spaces. Through an 'imaginary' Urban Incubator, the paper proposes a (de)(re)constructive reading of a conflation of real cities under space-time compression, mapped into fictional terrain of heterotopian imagery and virtuality. Such urban experimentation within cit(y)(ies) involves a sequence of digital images and video stills, constructing spatio-temporal narratives as means of navigation between imaginary (sense of) place identity, and cognitive imaging. In an attempt to capture the spirit of the 'nocturnal city' as an 'urban navigator' or as a 'flâneur', other (unconscious and hidden) urban spaces in various metropolises are represented as digital collages, experimental diagrams, virtual installations, visual semiotics, and spatial narratives. Digital fragments and diagrams will bring urban images into sharp juxtaposition, 'de-solidifying' the physical and dissolving spatial distinctions between reality and mythical spaces, between the screen and the imagination, between the virtual urbanity of the information machine and the actual urbanity of the city. Such representation will call into play the possibility of a coterminous and dialectic merging of very real city of bricks and a conceptual 'city of pixels'.

Unmaking the Arab/Muslim Child

2018 ◽  
Vol 11 (1) ◽  
pp. 91-110 ◽  
Author(s):  
Nisrine Mansour
Keyword(s):  
Digital Media ◽  
Meaning Making ◽  
Multifaceted Approach ◽  
Arab Region ◽  
Screen Media ◽  
Recent Interest ◽  
Arab Muslim ◽  
Starting Point ◽  
Palestinian Children ◽  
Micro Analysis

Abstract Recent interest in Arab child audiences is mostly related to the penetration of digital media to the Arab region and the rise of discourses on ‘counterterrorism’, Islamic radicalization and Islamophobia. More often than not, audience-focused inquiry has adopted, as a starting point, the uniform default category of ‘Arab/Muslim’. As these analytical categories are conflated, the implications of such teleological epistemologies cannot be missed. In this article, I dislocate these ontological and epistemological assumptions about Arab child audiences by refocusing the inquiry on children’s own processes of meaning-making amid their negotiations of socioeconomic, political, migratory and media ecologies. This inquiry, conducted between 2013 and 2015, explores these spaces by zooming into the findings of ethnographic research and playful interventions with two Syrian and Palestinian children living in the two contrastive migratory settings of Beirut and London. This micro-analysis questions dominant understandings of Arab childhood and screen media use today, and discusses the potential for adopting a multifaceted approach to the inquiry.

scholarly journals Managing Uncertainty in Spatio-Temporal Series

2015 ◽  
Author(s):  
Yania Souto ◽  
Ana Maria Moura ◽  
Fabio Porto
Keyword(s):  
Time Series ◽  
Weather Forecast ◽  
Natural Phenomena ◽  
Temporal Series ◽  
Space And Time ◽  
Probabilistic Database ◽  
Important Research Topic ◽  
New Type ◽  
Spatio Temporal ◽  
Uncertain Time

Uncertain time series analysis has recently become an important research topic, particularly when searching for features of natural phenomena using similarity functions. Natural phenomena are often modeled as time series, such as in weather forecast, in which temperature variation is monitored through space and time. In such a context, different models for weather forecast produce variations on predictions that can be interpreted as predictions uncertainty. One important problem is to represent the variations presented in predictions along space and time. In order to address a solution to this problem, this paper defines a new type of series, here named uncertain spatio-temporal series, and proposes a computational strategy to manage uncertainty in probabilistic database. Using this new series some analytical queries can be performed, leading to the discovery of interesting observation patterns.

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