Results 41 to 50 of about 54,664,911 (347)
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
Genome Biology, 2021 Spatial transcriptomic and proteomic technologies have provided new opportunities to investigate cells in their native microenvironment. Here we present Giotto, a comprehensive and open-source toolbox for spatial data analysis and visualization.
Ruben Dries +13 more
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Integrating the UAS in Undergraduate Teaching and Research – Opportunities and Challenges at University of North Georgia [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The University of North Georgia (UNG) has begun to evaluate both fixed and rotary UAS platforms across the departments to evaluate their potential for furthering both student learning experiences and undergraduate research.
J. B. Sharma, D. Hulsey
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GIScience & Remote Sensing, 2020 Spatial heterogeneity represents a general characteristic of the inequitable distributions of spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity among various strata of explanatory variables by comparing the ...
Yongze Song +3 more
semanticscholar +1 more source
Modelling urban networks using Variational Autoencoders
Applied Network Science, 2019 A long-standing question for urban and regional planners pertains to the ability to describe urban patterns quantitatively. Cities’ transport infrastructure, particularly street networks, provides an invaluable source of information about the urban ...
Kira Kempinska, Roberto Murcio
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British Journal of CancerTumours are composed of tumour cells and the surrounding tumour microenvironment (TME), and the molecular characterisation of the various elements of the TME and their interactions is essential for elucidating the mechanisms of tumour progression and ...
Takashi Semba, Takatsugu Ishimoto
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A spatial analysis of biogas potential from manure in Europe
Renewable & Sustainable Energy Reviews, 2018 Anaerobic digestion is increasingly used worldwide to generate energy from biogas, bringing significant economic and environmental benefits. In particular, in the European Union (EU), biogas can contribute significantly in several countries to reach the ...
N. Scarlat +4 more
semanticscholar +1 more source
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
Monthly Weather Review, 2019 Deep learning models, such as convolutional neural networks, utilize multiple specialized layers to encode spatial patterns at different scales. In this study, deep learning models are compared with standard machine learning approaches on the task of ...
D. Gagne +3 more
semanticscholar +1 more source
AN AGENT-BASED MODEL TO REPRESENT SPACE-TIME PROPAGATION OF FOREST-FIRE SMOKE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Agent-based modeling approaches have been used for various case studies related to the geospatial dynamics of complex systems. The proliferation of forest-fire smoke and the associated airborne particulate matter that behaves as complex systems make it ...
A. K. Smith, S. Dragicevic
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Anonymised human location data in England for urban mobility research
Scientific DataThe rapid expansion of sensor technologies and location-enabled mobile applications has greatly advanced the study of human mobility. Recently emerged sources like mobile app data offer outputs similar to traditional datasets—trip chains, flows, and ...
Chen Zhong +4 more
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Making Places: From Non-Place to User-Generated Space Through a Diversity of Media
Urban PlanningThe prevalence of rich and dynamic multimedia information has dramatically accelerated the development of communicative non-places over the last 30 years.
Weijue Wang +2 more
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