geospatial mapping
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2022 ◽  
Vol 179 ◽  
pp. 106085
Author(s):  
Neha Mehta ◽  
Eoin Cunningham ◽  
Martin Doherty ◽  
Peter Sainsbury ◽  
Ife Bolaji ◽  
...  

2021 ◽  
Vol 50 (1) ◽  
pp. 684-684
Author(s):  
Matthew Stampfl ◽  
Daniel McCarthy ◽  
Jillian Koch ◽  
Michael Lohmeier ◽  
Eric Anderson ◽  
...  
Keyword(s):  

2021 ◽  
pp. 194277862110557
Author(s):  
Ivana Bevilacqua

The ongoing “Intifada of Unity” against Israel's settler colonialism has resuscitated discussions about the liberatory potential of digital emancipation due to the massive data traffic circulation through its international media coverage. In fact, in a process that has intensified since the outbreak of the global pandemic at the very least, social media platforms and geospatial mapping tools have been subverted from more mundane uses, developing into new forums for organizing, imagining, and practicing more just futures. Yet, the centrality of infrastructure both as a means of digital extractivism and as a site for rupture and resistance demonstrates that the path toward new trajectories of e-scaping cannot be conceived as a virtual venture directed at designing alternative volatile geographies alone, but should always involve facing and challenging power in its everyday forms. By investigating the materiality of cyber colonialism, this paper explores the entanglement between imperial cartography and digital map-making which has reduced Palestinians and their space to a pixelated terra nullius, sanitized from the paradigmatic sites of the occupation and overwritten by a pseudo-biblical narrative that aims to legitimize the re-indigenization of the Zionist settlers . At the same time, it unpacks online processes of hyper-visibility through which Palestine suddenly materializes as a signifier for its dangerous nature, yet fragmented and enclaved by an intangible and discretional regime of im/mobility enforced through the neglect of permits and visas, as well as by the material constraints posed by apartheid roads, barriers, checkpoints, gates, and walls. Finally, it retraces the rationality of Israeli violence diluted through the technical means of built environment, infrastructure, machines and algorithms which, on one hand, contributes to the de-development of Palestine and the censorship of its people, and on the other, normalizes Israel’s position in the region due to its perceived technological superiority vis-à-vis its neighboring counterparts.


Medicine ◽  
2021 ◽  
Vol 100 (34) ◽  
pp. e27092
Author(s):  
Sandeep Prabhu ◽  
Shruti H. Mehta ◽  
Allison M. McFall ◽  
Aylur K. Srikrishnan ◽  
Canjeevaram K. Vasudevan ◽  
...  

2021 ◽  
Vol 29 ◽  
Author(s):  
Adrienne Johnson ◽  
Elizabeth Thorne Wallington

With growing English learner (EL) populations enrolling in districts throughout the United States, educators must be trained to meet the needs of this culturally and linguistically diverse population. However, the approaches used to meet this growing teacher training need vary widely, with little available research on how different approaches impact student success. The current paper uses geospatial mapping to examine how states’ EL teacher certification requirements are related to the academic success of English learners in those states. The results of this study suggest that state EL teacher certification requirements are related to student outcomes and that geographic location moderates those results. The geospatial mapping technique utilized in this study improves the accessibility of available data to the general population and policy makers.


2021 ◽  
Vol 26 (2) ◽  
pp. 255-264
Author(s):  
Conor McCafferty

Sound maps, particularly the web-based examples that have proliferated since the early 2000s, have proven compelling and valuable as means of conveying diverse perspectives of urban, rural and wilderness sound environments, while opening the creative process of mapping through field recording to non-expert user groups. As such, sound maps hold the promise of broad public engagement with everyday sonic experience and spatial typologies. Yet this straightforward participatory aim is prone to complication in terms of participatory frameworks and scale of analysis. Drawing on a catalogue of sound maps by the author, this article problematises the participatory norms of sound mapping and, in tandem, calls for a more nuanced approach to scale than typically seen to date in sound maps based on geospatial mapping APIs. A sound mapping workshop in Lisbon with a multidisciplinary participant group provided the opportunity to ‘re-prototype’ sound maps at the scale of a local neighbourhood using multimodal means of representation; the results highlighted questions of form, scale, representation, authorship and purpose in sound mapping and demonstrated its continuing potential as a participatory practice.


2021 ◽  
Author(s):  
Johan van den Hoogen ◽  
Niamh Robmann ◽  
Devin Routh ◽  
Thomas Lauber ◽  
Nina van Tiel ◽  
...  

Geospatial modelling can give fundamental insights in the biogeography of life, providing key information about the living world in current and future climate scenarios. Emerging statistical and machine learning approaches can help us to generate new levels of predictive accuracy in exploring the spatial patterns in ecological and biophysical processes. Although these statistical models cannot necessarily represent the essential mechanistic insights that are needed to understand global biogeochemical processes under ever-changing environmental conditions, they can provide unparalleled predictive insights that can be useful for exploring the variation in biophysical processes across space. As such, these emerging tools can be a valuable approach to complement existing mechanistic approaches as we aim to understand the biogeography of Earth's ecosystems. Here, we present a comprehensive methodology that efficiently handles large datasets to produce global predictions. This mapping pipeline can be used to generate quantitative, spatially explicit predictions, with a particular emphasis on spatially-explicit insights into the evaluation of model uncertainties and inaccuracies.


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