scholarly journals Unfolding Events in Space and Time: Geospatial Insights into COVID-19 Diffusion in Washington State during the Initial Stage of the Outbreak

2020 ◽  
Vol 9 (6) ◽  
pp. 382 ◽  
Author(s):  
Vaishnavi Thakar

The world witnessed the COVID-19 pandemic in 2020. The first case of COVID-19 in the United States of America (USA) was confirmed on 21 January 2020, in Snohomish County in Washington State (WA). Following this, a rapid explosion of COVID-19 cases was observed throughout WA and the USA. Lack of access to publicly available spatial data at finer scales has prevented scientists from implementing spatial analytical techniques to gain insights into the spread of COVID-19. Datasets were available only as counts at county levels. The spatial response to COVID-19 using coarse-scale publicly available datasets was limited to web mapping applications and dashboards to visualize infected cases from state to county levels only. This research approaches data availability issues by creating proxy datasets for COVID-19 using publicly available news articles. Further, these proxy datasets are used to perform spatial analyses to unfolding events in space and time and to gain insights into the spread of COVID-19 in WA during the initial stage of the outbreak. Spatial analysis of theses proxy datasets from 21 January to 23 March 2020, suggests the presence of a clear space–time pattern. From 21 January to 6 March, a strong presence of community spread of COVID-19 is observed only in close proximity of the outbreak source in Snohomish and King Counties, which are neighbors. Infections diffused to farther locations only after a month, i.e., 6 March. The space–time pattern of diffusion observed in this study suggests that implementing strict social distancing measures during the initial stage in infected locations can drastically help curb the spread to distant locations.

2019 ◽  
Vol 8 (2) ◽  
pp. 72 ◽  
Author(s):  
Yi Qiang ◽  
Nico Van de Weghe

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.


2020 ◽  
Author(s):  
◽  
Morghan Montez ◽  

Jupiter's moon, Io, is the most volcanic planetary object in the solar system. Io's active volcanoes have only been previously studied independently in space and time, but not simultaneously. With using geographic information systems (GIS), the ArcGIS Pro software has tools in a toolbox called Space Time Pattern Mining that can analyze these active volcanoes in a concurrent study. In order to achieve a concurrent study, the project was constructed in two parts: analysis and visualizations. The analysis part involved using the tools in the Space Time Pattern Mining toolbox provided space-time aspects that would analyze the client􀂶s database. The client􀂶s database is data from the NASA􀂶s Galileo Near-Infrared Mapping Spectrometer (NIMS) instrument that was used in the Rathbun, Lopes, and Spencer (2018) publication. As for the visualization part, this part involved using 3-D symbology from the volcano point feature, to illustrate a time frame in days of the brightness (aka volcano eruption strength) on the Local Scene map and the Globe Scene map. Both parts of the project presented compelling results that identified and achieved in seeing significant clustering in space and time concurrently, along with seeing a particular part on Io that exhibited eruptions more frequently than the other part.


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Javier A. Arce-Nazario

<p><strong>Abstract.</strong> The question of how to communicate with lay audiences about dynamic spatial processes is important in many disciplines. A diversity of paradigms for representing space and time have been developed in cartography, GIS science, and geovisualization, but these paradigms are unlikely to converge to a standard representation of spatiotemporal data (Goodchild 2013). Thus, finding the best visualization techniques to support the general public’s understanding of spatiotemporal analysis requires some exploration. In the following, I discuss how this exploration produced the novel approaches to representing time and landscape dynamics in <i>geo/visual/isla</i>, which was a science-art exhibit about social and ecological changes in the landscape of Puerto Rico over the past century.</p><p><i>geo/visual/isla</i> (Museo Casa Blanca, San Juan, 2017) was developed from static, large-format prints of aerial imagery of the Caribbean island nation of Puerto Rico, which were created by a collective of undergraduate students and a geographer at the University of Puerto Rico at Cayey. The data associated with times in the 1930s were derived from aerial photographs provided by the Puerto Rican Department of Transportation, and more recent data were derived from the United States Geological Survey and United States Army Corps of Engineers. The exhibit ultimately presented an 80-year history of changes in the natural and constructed landscape, during a period in which shifting global and local economies, migration, climate events and colonial policies were drivers of dramatic landscape transitions. The purpose of the exhibit was to capture the beauty and the dynamics of the landscape’s history, while helping visitors to envision and discuss past landscape change and future land use in Puerto Rico.</p><p>The problem of geovisualizing time and change is an old one that has been extensively reviewed – for example, by Yuan (2016) – but when the audience is a general public, there are additional challenges. Most notably, the limited period of interaction that a lay person will have with the geospatial data in question means that the scheme for representing space and time together must be either simple or familiar to be successful. Many creators of geographic exhibits for lay audiences do utilize well-established geovisualization paradigms such as the space-time cube (Bogucka and Jahnke 2017), the time-animated series of maps (Harner, Knapp, and Davis-Witherow 2017), and the annotated timeline (Caine 2017). However, these techniques must be adapted for the intended audience: the authors in each case highlight the specific techniques they use to help viewers by reducing the information burden and interpretation ambiguity of the representations they choose.</p><p> Like these other public geographic exhibits, <i>geo/visual/isla</i> extensively used an early cartographic representation of time, which was chosen for its simplicity and familiarity. Several of the works in the exhibit were “time-slice snapshots,” as described by Langran and Chrisman (1998). We took advantage of the rich vocabulary of the human experience of time to help viewers more easily navigate the temporal dimension of the data being displayed. For example, we encouraged viewers to associate neighboring time-slices by using the visual metaphor of the triptych, and used color schemes emphasizing the time coordinate (Figure 1). Spatial orientation between images was reinforced by choosing images with prominent, essentially consistent landscape features such as a coastline. The triptych format also reduced the temporal resolution to a manageable level, reducing the information burden noted above.</p><p> Perhaps the most important distinction between science-art exhibits and GIS representations or standalone geovisualizations is possibility to use the exhibit site as an additional dimension of experience. Harner, Knapp, and Davis-Witherow (2017) used this space for physical objects, and describe how their exhibit’s interactive maps replace interpretation of these objects by curators. In <i>geo/visual/isla</i>, we chose the inverse relationship: the space itself provided orientation that helped viewers interpret the maps. This was achieved by two techniques: first, the viewers’ path through the exhibit allowed them to learn the “vocabulary” of the space-time representation as they progressed. Timeslice snapshots gave way to more complex presentations where data with different space and time coordinates appeared in the same frame (Figure 2). By the end of the exhibit, viewers were easily able to read the spatial landscape enough to understand the story of change in these blended presentations. Second, the environment in different parts of the exhibit hall reinforced an understanding of timescales. Images in the exhibit depicting topological landscape features in the 1950s and 1960s were portrayed in red-blue anaglyph images and viewed with paper anaglyph glasses. In this corner of the exhibit, which was populated by other visitors in “retro” glasses and complemented by artworks referencing visual tropes of other dimensions and flashbacks, our intention was to make the actual ambiance provoke discussions of this particular period of Puerto Rico’s past (Figure 3).</p><p>The techniques explored in <i>geo/visual/isla</i> made the dimensions of space and time equally easy to navigate for users, and our observation of visitors and their responses on surveys demonstrated that we successfully produced a conducive environment for substantive discussions of landscape change. The demonstrated effectiveness of the format is consistent with our visitor survey results from prior exhibitions (Arce-Nazario 2016). Our choices were specifically designed for a physical, artistic exhibit and a non-expert audience, but the training and cueing used to make <i>geo/visual/isla</i> work so well could also be adapted to other geovisualization presentations and tools.</p>


GEOgraphia ◽  
2009 ◽  
Vol 2 (3) ◽  
pp. 51
Author(s):  
Gilvan Luiz Hansen

Resumo Este artigo é uma discussão introdutória acerca da importância das concepções de espaço e tempo na modernidade. O objetivo deste texto é enfatizar os aspectos teóricos e práticos dos conceitos de espaço e tempo, mediante a apresentação de três perspectivas de interpretação desta questão na filosofia desenvolvida na modernidade. Palavras-chave: Modernidade, Espaço, Tempo, Filosofia Moderna, J. Habermas.Abstract This article is an introductory debate about the importance of space and time conceptions in modernity. The objective from this text is emphasize the theoretical and practical aspects of space and time concepts, by presentation of three interpretation perspectives of this question in the philosophy developed in modernity. Keywords: Modernity, Space, Time, Modern Philosophy, J. Habermas.


2010 ◽  
Vol 22 (1) ◽  
pp. 181-195 ◽  
Author(s):  
Anthony Cordingley

This essay argues for the presence of Aristotelian ideas of cosmic order, syllogism, space and time in Beckett's . It accounts for how such ideas impact upon the novel's 'I' as he attempts to offer a philosophical 'solution' to his predicament in an underworld divorced from the revolving heavens. Beckett's study of formal logic as a student at Trinity College, Dublin and his private study of philosophy in 1932 is examined in this light; particularly his “Philosophy Notes,” along with some possible further sources for his knowledge. The essay then reveals a creative transformation of Aristotelian ideas in which led to formal innovations, such as the continuous present of its narrative.


2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 38-39
Author(s):  
Bradley J Johnson ◽  
Luke Fuerniss

Abstract The U.S. cow inventory includes approximately 31 million beef cows and 9 million dairy cows, so flow of cattle from dairies into beef production influences the traditional beef industry structure. Dairy-influenced cattle have historically entered the beef supply chain as cull cows and calf-fed Holstein steers. Culled dairy cows account for approximately half of the cows harvested in the United States annually. Fed steers and heifers of dairy influence are estimated to account for 15% of annual steer and heifer slaughter. Advancements in data availability, genomics, and reproductive technologies have enabled more precise selection of dairy replacement heifers and more pregnancies to be allocated to a terminal sire. Recently, the use of beef semen to breed dairy cows that are not desirable for producing replacement heifers has become more widespread. Beef-on-dairy calves are often moved to calf ranches shortly after birth where they are weaned and grown before transitioning to traditional grow yards or feedlots. In comparison to traditional range beef production, calves of dairy origin are weaned at a younger age, have more restricted mobility early in life, and are fed a delivered ration for a greater number of days. While carcasses of dairy-originated fed cattle excel in subcutaneous leanness and marbling, calves originating from dairies typically experience greater morbidity, poorer feed conversion, and poorer dressed yields compared to native fed cattle. Future opportunities to optimize beef production from the dairy herd include refining sire selection to consistently produce high quality calves, reducing variation in calfhood management, and identifying optimal nutrition and growth technology programs for calves from dairies.


2021 ◽  
Vol 14 ◽  
pp. 117862212110092
Author(s):  
Michele M Tobias ◽  
Alex I Mandel

Many studies in air, soil, and water research involve observations and sampling of a specific location. Knowing where studies have been previously undertaken can be a valuable addition to future research, including understanding the geographical context of previously published literature and selecting future study sites. Here, we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to digitize and add location information to a Zotero library, a free and open-source bibliography manager on basemaps or other geographic data of the user’s choice. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. Using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. To evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature, we provide a case study using the tool to map the study sites described in academic publications related to the biogeomorphology of California’s coastal strand vegetation, a line of research in which air movement, soil, and water are all driving factors. The results of this exercise are presented in static and web map form. The source code for Literature Mapper is available in the corresponding author’s GitHub repository: https://github.com/MicheleTobias/LiteratureMapper


Genetics ◽  
1993 ◽  
Vol 133 (3) ◽  
pp. 711-727
Author(s):  
B K Epperson

Abstract The geographic distribution of genetic variation is an important theoretical and experimental component of population genetics. Previous characterizations of genetic structure of populations have used measures of spatial variance and spatial correlations. Yet a full understanding of the causes and consequences of spatial structure requires complete characterization of the underlying space-time system. This paper examines important interactions between processes and spatial structure in systems of subpopulations with migration and drift, by analyzing correlations of gene frequencies over space and time. We develop methods for studying important features of the complete set of space-time correlations of gene frequencies for the first time in population genetics. These methods also provide a new alternative for studying the purely spatial correlations and the variance, for models with general spatial dimensionalities and migration patterns. These results are obtained by employing theorems, previously unused in population genetics, for space-time autoregressive (STAR) stochastic spatial time series. We include results on systems with subpopulation interactions that have time delay lags (temporal orders) greater than one. We use the space-time correlation structure to develop novel estimators for migration rates that are based on space-time data (samples collected over space and time) rather than on purely spatial data, for real systems. We examine the space-time and spatial correlations for some specific stepping stone migration models. One focus is on the effects of anisotropic migration rates. Partial space-time correlation coefficients can be used for identifying migration patterns. Using STAR models, the spatial, space-time, and partial space-time correlations together provide a framework with an unprecedented level of detail for characterizing, predicting and contrasting space-time theoretical distributions of gene frequencies, and for identifying features such as the pattern of migration and estimating migration rates in experimental studies of genetic variation over space and time.


2021 ◽  
pp. 1532673X2110221
Author(s):  
Loren Collingwood ◽  
Benjamin Gonzalez O’Brien

In the United States, drop box mail-in voting has increased, particularly in the all vote by mail (VBM) states of Washington, Colorado, Utah, and Oregon. To assess if drop boxes improve voter turnout, research proxies box treatment by voters’ residence distance to nearest drop box. However, no research has tested the assumption that voters use drop boxes nearest their residence more so than they do other drop boxes. Using individual-level voter data from a 2020 Washington State election, we show that voters are more likely to use the nearest drop box to their residence relative to other drop boxes. In Washington’s 2020 August primary, 52% of drop box voters in our data used their nearest drop box. Moreover, those who either (1) vote by mail, or (2) used a different drop box from the one closest to their residence live further away from their closest drop box. Implications are discussed.


2021 ◽  
Vol 10 (3) ◽  
pp. 92
Author(s):  
Dyah Rahmawati Hizbaron ◽  
Dina Ruslanjari ◽  
Djati Mardiatno

Since Indonesia reported its first case of COVID-19 in the capital, Jakarta, in early March of 2020, the pandemic has affected 102,051,000 lives. In the second week of the month, the government mandated all sectors to take necessary actions to curb the spread. The research set out to evaluate how the disaster emergency response was carried out amid the COVID-19 pandemic in the Special Region of Yogyakarta (SRY). The research employs qualitative observation of adaptive governance variables, i.e., infrastructure availability, information, conflict mechanism, regulation, and adaptation. The research analyzed primary data collected from focus group discussions with key persons at the Local Disaster Management Agency, Local Development Planning Agency, and Disaster Risk Reduction Platform responsible for the crisis and included an online survey to validate data. The research revealed that the SRY had exhibited adaptive governance to the COVID-19 pandemic, as apparent by, among others, open-access spatial and non-spatial data, extensive combined uses of both types of data, and prompt active engagement of communities in the enforcement of new rules and regulations mandated by national and provincial governments. Furthermore, during emergency responses to COVID-19, the stakeholders provided infrastructure and information, dealt with conflicts in multiple spatial units, encouraged adaptations, and formulated emergent rules and regulations. For further research, we encourage qualitative analysis to confront other types of natural disaster for the research area.


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