Relevant bibliographies by topics / Spatio-temporal interaction

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spatio-temporal interaction'

Author: Grafiati
Published: 26 October 2024
Last updated: 12 July 2025

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Journal articles on the topic "Spatio-temporal interaction"

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Grubesic, Tony H., and Elizabeth A. Mack. "Spatio-Temporal Interaction of Urban Crime." Journal of Quantitative Criminology 24, no. 3 (2008): 285–306. http://dx.doi.org/10.1007/s10940-008-9047-5.

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Sun, Dongchu, Robert K. Tsutakawa, Hoon Kim, and Zhuoqiong He. "Spatio-temporal interaction with disease mapping." Statistics in Medicine 19, no. 15 (2000): 2015–35. http://dx.doi.org/10.1002/1097-0258(20000815)19:15<2015::aid-sim422>3.0.co;2-e.

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Spiegel, Elmar, Thomas Kneib, and Fabian Otto-Sobotka. "Spatio-temporal expectile regression models." Statistical Modelling 20, no. 4 (2019): 386–409. http://dx.doi.org/10.1177/1471082x19829945.

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Spatio-temporal models are becoming increasingly popular in recent regression research. However, they usually rely on the assumption of a specific parametric distribution for the response and/or homoscedastic error terms. In this article, we propose to apply semiparametric expectile regression to model spatio-temporal effects beyond the mean. Besides the removal of the assumption of a specific distribution and homoscedasticity, with expectile regression the whole distribution of the response can be estimated. For the use of expectiles, we interpret them as weighted means and estimate them by established tools of (penalized) least squares regression. The spatio-temporal effect is set up as an interaction between time and space either based on trivariate tensor product P-splines or the tensor product of a Gaussian Markov random field and a univariate P-spline. Importantly, the model can easily be split up into main effects and interactions to facilitate interpretation. The method is presented along the analysis of spatio-temporal variation of temperatures in Germany from 1980 to 2014.
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HAN, Lei, Jun-Feng LI, and Yun-De JIA. "Human Interaction Recognition Using Spatio-Temporal Words." Chinese Journal of Computers 33, no. 4 (2010): 776–84. http://dx.doi.org/10.3724/sp.j.1016.2010.00776.

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Onuki, Yoshiyuki, Eus J. W. Van Someren, Chris I. De Zeeuw, and Ysbrand D. Van der Werf. "Hippocampal–Cerebellar Interaction During Spatio-Temporal Prediction." Cerebral Cortex 25, no. 2 (2013): 313–21. http://dx.doi.org/10.1093/cercor/bht221.

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Kleinman, Erica, Nikitha Preetham, Zhaoqing Teng, Andy Bryant, and Magy Seif El-Nasr. ""What Happened Here!?" A Taxonomy for User Interaction with Spatio-Temporal Game Data Visualization." Proceedings of the ACM on Human-Computer Interaction 5, CHI PLAY (2021): 1–27. http://dx.doi.org/10.1145/3474687.

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Currently, there is no formal taxonomy for the activities that users engage in when interacting with and making meaning from spatio-temporal game data visualizations. As data visualization, especially spatio-temporal visualization, becomes more popular for game data analytics, it becomes increasingly crucial that we develop a formal understanding of how users, especially players, interact with and extract meaning from game data using these systems. However, existing taxonomies developed for InfoVis are not directly applicable due to domain differences and a lack of consensus within the literature. This paper presents the beginnings of a taxonomy for user interaction with spatio-temporal data specific to the domain of games, developed from the results of a qualitative user study (n=7) in which experienced players were tasked with using a spatio-temporal visualization system to explore and understand telemetry data from Defense of the Ancients 2 (DotA 2). The taxonomy includes seven activities organized into three categories: Data Interaction, Sense Making, and Validation. We discuss the implications of these activities on design and future research.
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Zhong, Hua, Jian Wang, Cai Chen, Jianlong Wang, Dong Li, and Kailin Guo. "Weather Interaction-Aware Spatio-Temporal Attention Networks for Urban Traffic Flow Prediction." Buildings 14, no. 3 (2024): 647. http://dx.doi.org/10.3390/buildings14030647.

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As the cornerstone of intelligent transportation systems, accurate traffic prediction can reduce the pressure of urban traffic, reduce the cost of residents’ travel time, and provide a reference basis for urban construction planning. Existing traffic prediction methods focus on spatio-temporal dependence modeling, ignoring the influence of weather factors on spatio-temporal characteristics, and the prediction task has complexity and an uneven distribution in different spatio-temporal scenarios and weather changes. In view of this, we propose a weather interaction-aware spatio-temporal attention network (WST-ANet), in which we integrate feature models and dynamic graph modules in the encoder and decoder, and use a spatio-temporal weather interaction perception module for prediction. Firstly, the contextual semantics of the traffic flows are fused using a feature embedding module to improve the adaptability to weather drivers; then, an encoder–decoder is constructed by combining the Dynamic Graph Module and the WSTA Block, to extract spatio-temporal aggregated correlations in the roadway network; finally, the feature information of the encoder was weighted and aggregated using the cross-focusing mechanism, and attention was paid to the hidden state of the encoding. Traffic flow was predicted using the PeMS04 and PeMS08 datasets and compared with multiple typical baseline models. It was learned through extensive experiments that the accuracy evaluation result is the smallest in WST-ANet, which demonstrated the superiority of the proposed model. This can more accurately predict future changes in traffic in different weather conditions, providing decision makers with a basis for optimizing scenarios.
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Balash, O. S. "Econometric Modeling of Spatial Interaction." Izvestiya of Saratov University. Economics. Management. Law 12, no. 3 (2012): 30–35. http://dx.doi.org/10.18500/1994-2540-2012-12-3-30-35.

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Verschueren, N., U. Bortolozzo, M. G. Clerc, and S. Residori. "Chaoticon: localized pattern with permanent dynamics." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2027 (2014): 20140011. http://dx.doi.org/10.1098/rsta.2014.0011.

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An analytical mechanism that support localized spatio-temporal chaos is provided. We consider a simple model— the Nagumo Kuramoto model —which contains the crucial ingredients for observing localized spatio-temporal chaos, namely, the spatio-temporal chaotic pattern and its coexistence with a uniform state. This model allows us to unveil the front dynamics and to show that it can be described by a chaotic motor corresponding to the deterministic counterpart of a Brownian motor. Front interaction is identified as the mechanism at the origin of the localized spatio-temporal chaotic structures.
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Wang, Zhenhua, Sheng Liu, Jianhua Zhang, Shengyong Chen, and Qiu Guan. "A Spatio-Temporal CRF for Human Interaction Understanding." IEEE Transactions on Circuits and Systems for Video Technology 27, no. 8 (2017): 1647–60. http://dx.doi.org/10.1109/tcsvt.2016.2539699.

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Dissertations / Theses on the topic "Spatio-temporal interaction"

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Zhang, Ying. "Dynamic spatio-temporal interaction of morphogens, forces and growth in embryonic morphogenesis." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3297105.

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Thesis (Ph.D.)--Indiana University, Dept. of Physics, 2007.<br>Title from dissertation home page (viewed Sept. 29, 2008). Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 0881. Adviser: James A. Glazier.
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Pradhananga, Nipesh. "Construction site safety analysis for human-equipment interaction using spatio-temporal data." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52326.

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The construction industry has consistently suffered the highest number of fatalities among all human involved industries over the years. Safety managers struggle to prevent injuries and fatalities by monitoring at-risk behavior exhibited by workers and equipment operators. Current methods of identifying and reporting potential hazards on site involve periodic manual inspection, which depends upon personal judgment, is prone to human error, and consumes enormous time and resources. This research presents a framework for automatic identification and analysis of potential hazards by analyzing spatio-temporal data from construction resources. The scope of the research is limited to human-equipment interactions in outdoor construction sites involving ground workers and heavy equipment. A grid-based mapping technique is developed to quantify and visualize potentially hazardous regions caused by resource interactions on a construction site. The framework is also implemented to identify resources that are exposed to potential risk based on their interaction with other resources. Cases of proximity and blind spots are considered in order to create a weight-based scoring approach for mapping hazards on site. The framework is extended to perform ``what-if'' safety analysis for operation planning by iterating through multiple resource configurations. The feasibility of using both real and simulated data is explored. A sophisticated data management and operation analysis platform and a cell-based simulation engine are developed to support the process. This framework can be utilized to improve on-site safety awareness, revise construction site layout plans, and evaluate the need for warning or training workers and equipment operators. It can also be used as an education and training tool to assist safety managers in making better, more effective, and safer decisions.
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Koger, Jace. "Spatio-temporal History of Fluid-rock Interaction in the Hurricane Fault Zone." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/5911.

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The Hurricane Fault is a 250-km long, west dipping, Basin and Range-bounding normal fault in SW Utah and NW Arizona that initiated in the mid-Miocene to Pliocene. It has been primarily active in the Quaternary, with slip rates of 0.2 – 0.6 mm/yr. There are multiple hot springs along its 250-km length and multiple late Tertiary-Quaternary basaltic centers broadly parallel the fault. Possible sources of hot spring fluids include deeply-circulated meteoric water that experienced water-rock exchange at high temperatures (>100 °C) and deep-seated crustal fluids. Aside from the source of modern hot spring fluids and heat, questions about the spatio-temporal history of fluid flow along the Hurricane Fault remain unaddressed. Abundant damage zone veins, cements, and host rock alteration are present, indicative of past fluid flow. Carbonate veining and cementation is a key feature of the Hurricane Fault zone, and is the primary feature exploited to characterize the thermochemical history of fault-related paleofluids. A combination of macroscopic and microscopic carbonate observations, chemical composition, and precipitation temperature of calcite veins was used to determine past water-rock diagenetic interaction and vein evolution in the Hurricane Fault zone. Calcite iv in concretions and veins from the damage zone of the fault shows a wide range of carbon and oxygen stable isotope ratios, with δ13CPDB from -4.5 to 3.8 ‰ and δ18OPDB from -17.7 to -1.1‰. Fluid inclusion microthermometry homogenization temperatures range from 45 to 160 °C, with fluid salinities of 0 to 15 wt% NaCl calculated from melting temperatures. Combining the two datasets, two main fluids that interacted with the fault zone are inferred: (1) basin brines with a δ 18OSMOW of 9.2 ‰ and (2) altered meteoric fluids with a δ 18OSMOW of -11.9 to -8.3 ‰. Calculated dissolved CO2 δ 13CPDB (-8.5 to -1.3 ‰) indicates mixed marine carbonate and organic or magmatic sources. Fault zone diagenesis was caused by meteoric water infiltration and interaction with carbonate-rich rocks, mixed with upwelling basin brines. Fluid-rock interaction is concentrated in the damage zone, where fracture-related permeability was utilized for fluid flow. A distinct mineralization event punctuated this history, associated with basin brines that were chemically influenced by nearby basaltic magmatism. This implies a hydrologic connection between the fault and regional magmatism.
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Nesrallah, Michael J. "Spatio-Temporal Theory of Optical Kerr Nonlinear Instability." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34313.

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This work derives a nonlinear optical spatio-temporal instability. It is a perturbative analysis that begins from Maxwell’s equations and its constituent relations to derive a vectorial nonlinear wave equation. In fact, it is a new theoretical method that has been developed that builds on previous aspects of nonlinear optics in a more general way. The perturbation in the wave equation derived is coupled with its complex conjugate which has been taken for granted so far. Once decoupled it gives rise to a second-order equation and thus a true instability regime because the wavevector can become complex. The solution obtained for the perturbation that co-propagates with the driving laser is a generalization to modulation and filamentation instability, extending beyond the nonlinear Schrodinger and nonlinear transverse diffusion equations[1][2]. As a result of this new mechanism, new phenomena can be explored. For example, the Kerr Nonlinear Instability can lead to exponential growth, and hence amplification. This can occur even at wavelengths that are typically hard to operate at, such as into far infrared wave- lengths. This provides a mechanism for obtaining amplification in the far infrared from a small seed pulse without the need for population inversion. The analysis provides the basic framework that can be extended to many different avenues. This will be the subject of future work, as outlined in the conclusion of this thesis.
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Osorio, Cañadas Sergio. "Spatio-temporal variability of bee/wasp communities and their host-parasitoid interaction networks." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/457746.

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Uno de los principales objetivos de la ecología es comprender cómo la biodiversidad está estructurada espacial y temporalmente, y cuáles son los mecanismos subyacentes a los gradientes de biodiversidad en diferentes escalas espaciales y temporales. En esta tesis, analizo la variabilidad espacio-temporal de comunidades de abejas/avispas (huéspedes) y de sus parasitoides, y de las redes de interacción huésped-parasitoide que se establecen entre ellas. Las especies de abejas y avispas muestran notables diferencias temporales en su fenología, y, por otro lado, las especies de abejas muestran diferentes capacidades termorreguladoras en relación con su tamaño corporal (cuanto más grandes es una, mayor es su capacidad termoreguladora). Por tanto, se podría hipotetizar una relación entre el tamaño corporal (~’grado de endotermia’) y la temperatura ambiente durante el período de vuelo del adulto. Las comunidades de abejas y avispas también muestran una considerable heterogeneidad espacial en respuesta a sus recursos alimentarios y de nidificación. Estos cambios espacio-temporales en las comunidades de abejas/avispas podrían conllevar cambios en sus ‘rasgos funcionales’, y podrían tener un impacto en sus comunidades de parasitoides y, en consecuencia, esto podría reflejarse en cambios en la estructura de sus redes de interacción y en las funciones ecosistémicas asociadas. En el capítulo 1 se analizó la relación entre el tamaño corporal y la temperatura a lo largo de un gradiente de temperatura ambiental intra-anual, utilizando una fauna regional de abejas mediterráneas. Esperábamos encontrar especies más grandes (más endotérmicas) en las estaciones más frías, y especies progresivamente más pequeñas hacia estaciones más cálidas. Esto se puede considerar un test a la ‘norma de Bergmann’ a lo largo de un gradiente de temperatura temporal (en lugar de su formulación clásica a lo largo de gradientes geográficos). Encontramos una relación diferente entre el tamaño corporal y la temperatura ambiente de las especies para las abejas grandes ('endotérmicas') y para las pequeñas (ectotérmicas): las especies mayores que 27,81 mg (peso seco) siguieron la norma de Bergmann, mientras que las especies por debajo de este umbral no mostraban ningún patrón. Nuestros resultados extienden la norma de Bergmann a un gradiente temporal y son coherentes con el mecanismo fisiológico propuesto originalmente por el propio Bergmann ("hipótesis termorreguladora"). Para estudiar las redes de interacción huésped-parasitode se utilizaron comunidades de abejas y avispas nidificantes en cavidades preestablecidas (AANCP), que actúan como 'huéspedes', y sus comunidades de parasitoides, en una zona templada (Capítulos 2 y 3). En el capítulo 2 se estudiaron los efectos de la estacionalidad (primavera vs verano) sobre la estructura y composición taxonómica y funcional de las comunidades de AANCP y de sus parasitoides, y sobre sus redes de interacción. Se encontraron notables cambios estacionales en la estructura taxonómica y funcional, y en la composición tanto de la comunidad de AANCP como de parasitoides. Sin embargo, no encontramos cambios estacionales en el porcentaje de parasitismo, y los pocos cambios estacionales en la estructura de la red de interacción parecían principalmente motivados por cambios en el tamaño de la red. Por último, en el capítulo 3 se estudiaron los efectos de los factores espaciales locales (ambiente de nidificación: granjas vs agrupaciones de árboles) y paisajísticos (gradiente de cobertura agrícola) sobre la estructura taxonómica y la composición de las comunidades de AANCP y de sus parasitoides, y sobre sus redes de interacción. La estructura y composición de la comunidad AANCP, así como la estructura de la red, fueron mucho más dependientes de los factores locales que de los factores del paisaje. Los hábitats abiertos asociados con explotaciones extensivas favorecen la diversidad local de AANCP (especialmente abejas) lo que origina redes de interacción huésped-parasitoide más complejas en comparación con áreas boscosas.<br>One of the main goals in ecology is to understand how biodiversity is spatial and temporally structured, and which are the mechanisms underlying biodiversity gradients at different spatial and temporal scales. In this thesis, I analyze spatial and temporal variability in bee/wasp (hosts) and their parasitoid communities, and in the antagonistic interaction networks between them. Bees, wasps and their parasitoids are related to key ecosystem functions (e.g., pollination or herbivore populations control). Bee and wasp species show notably seasonal differences in their phenology. Bee species also show different thermoregulatory capabilities in relation with their body size (the bigger the bee species, the more ‘endothermic’ the species are). So, it could be hypothesized a relationship between body size (~endothermic capabilities) and ambient temperature in the period of adult flying activity. Bee and wasp communities also have been shown to be spatially heterogeneous in response to food and nesting resources. Temporal and spatial changes in bee/wasp communities are expected to impact in their parasitoid communities, as they depend on their host communities. Moreover, if host and parasitoid community structure and composition change over space and time, their functional traits, interaction patterns, network structure and ecosystem functionality are also expected to change spatio-temporally. In Chapter 1 we tested the body size-temperature relationship along an intra-annual, seasonal environmental temperature gradient using a Mediterranean regional bee fauna. We expected to find larger bee species (i.e. more endothermic species) in colder seasons, and progressively smaller bee species towards warmer seasons. This approaches to the Bergmann’s rule along a temporal temperature gradient (instead of their classical formulation along geographical gradients). We found a different relationship between body size and ambient temperature for large (‘endothermic’) and small (ectothermic) bee species: species larger than 27.81 mg (dry weight) followed Bergmann’s rule, whereas species below this threshold did not (no relationship at all). Our results extend Bergmann’s rule to a temporal gradient and are coherent with the physiological mechanism proposed originally by Bergmann himself (“thermoregulatory hypothesis”). In order to analyze spatial and temporal variability in antagonistic interaction networks, we used cavity-nesting bees and wasp communities (‘CNBW’, acting as ‘hosts’), and their interacting ‘parasitoid’ communities in a temperate zone (Chapters 2 and 3). In Chapter 2, we studied the effects of seasonality (spring vs. summer) on taxonomic and functional structure and composition of CNBW and their parasitoid communities, and on their interaction networks. We found strong seasonal changes in taxonomic and functional structure and composition of both the CNBW host and their parasitoid communities. However, we did not find seasonal shifts in percent parasitism, and the few seasonal changes in the structure of the host-parasitoid interaction network appeared to be mostly driven by changes in network size. Our results underscore the need to consider functional traits and to incorporate a temporal component into network analysis if we are to understand the global relationship between network structure and ecosystem function. Finally, in Chapter 3 we studied the effects of local (nesting environment: farms vs tree stands) and landscape (forest-cropland gradient) spatial factors on taxonomic structure and composition of CNBW hos and their parasitoid communities, and on their interaction networks. CNBW host community structure and composition, as well as network structure, were much more dependent on local than on landscape factors. Open habitats associated with extensively farmed exploitations favor local CNBW diversity (especially bees) and result in more complex host–parasitoid interaction networks in comparison to forested areas. This study highlights the conservation value of this kind of open habitat in view of the progressive abandonment of extensively cultivated farmland in favor of agricultural intensification and reforestation taking place in Europe.
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Vallot, Dorothée. "Modelling calving and sliding of Svalbard outlet glaciers : Spatio-temporal changes and interactions." Doctoral thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-334787.

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Future sea level rise associated to global warming is one of the greatest societal and environmental challenges of tomorrow. A large part of the contribution comes from glaciers and ice sheets discharging ice and meltwater into the ocean and the recent worldwide increase is worrying. Future predictions of sea level rise try to encompass the complex processes of ice dynamics through glacier modelling but there are still large uncertainties due to the lack of observations or too coarse parameterisation, particularly for processes occurring at the glacier interfaces with the bed (sliding) and with the ocean (calving). This thesis focuses on modelling these processes from two marine-terminating glaciers in Svalbard, Kronebreen and Tunabreen. By inverting three years of high temporal resolution time-series of surface velocities on Kronebreen, basal properties are retrieved with the ice flow model Elmer/Ice in Paper I. Results suggest that surface melt during the summer greatly influences the dynamics of the following season and that sliding laws for such glaciers should be adapted to local and global processes changing in space and time. The subglacial drainage system, fed by the surface melt, is modelled in Paper II during two melting seasons. Results show different configurations of efficient and inefficient drainage systems between years and the importance of using a sliding law dependent on spatio-temporal changes in effective pressure. The interaction with the ocean is incorporated in Paper III by combining a series of models, including an ice flow model, a plume model and a particle model for discrete calving and compares the output with observations. Results show the importance of glacier geometry, sliding and undercutting on calving rate and location. However, more observations and analytic methods are needed. Time-lapse imagery placed in front of Tunabreen have been deployed and a method of automatic detection for iceberg calving is presented in Paper IV. Results show the influence of the rising plume in calving and the front destabilisation of the local neighbourhood.
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Jian, Jinshi. "Global soil respiration: interaction with macroscale environmental variables and response to climate change." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/92195.

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The response of global soil respiration (Rs) to climate change determines how long the land can continue acting as a carbon sink in the future. This dissertation research identifies how temporal and spatial variation in environmental factors affects global scale Rs modeling and predictions of future Rs under global warming. Chapter 1 describes the recommend time range for measuring Rs across differing climates, biomes, and seasons and found that the best time for measuring the daily mean Rs is 10:00 am in almost all climates and biomes. Chapter 2 describes commonly used surrogates in Rs modeling and shows that air temperature and soil temperature are highly correlated and that they explain similar amounts of Rs variation; however, average monthly precipitation between 1961 and 2014, rather than monthly precipitation for a specific year, is a better predictor in global Rs modeling. Chapter 3 quantifies the uncertainty generated by four different assumptions of global Rs models. Results demonstrate that the time-scale of the data, among other sources, creates a substantial difference in global estimates, where the estimate of global annual Rs based on monthly Rs data (70.85 to 80.99 Pg C yr-1) is substantially lower than the current benchmark for land models (98 Pg C yr-1). Chapter 4 simulates future global Rs rates based on two temperature scenarios and demonstrates that temperature sensitivity of Rs will decline in warm climates where the level of global warming will reach 3°C by 2100 relative to current air temperature; however, these regional decelerations will be offset by large Rs accelerations in the boreal and polar regions. Chapter 5 compares CO2 fluxes from turfgrass and wooded areas of five parks in Blacksburg, VA and tests the ability of the Denitrification-Decomposition model to estimate soil temperature, moisture and CO2 flux across the seasons. Cumulatively, this work provides new insights into the current and future spatial and temporal heterogeneity of Rs and its relationship with environmental factors, as well as key insights in upscaling methodology that will help to constrain global Rs estimates and predict how global Rs will respond to global warming in the future.<br>Ph. D.
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Tran, Van Canh [Verfasser], and Michael [Akademischer Betreuer] Gertz. "Learning Social Links and Communities from Interaction, Topical, and Spatio-Temporal Information / Canh Tran Van ; Betreuer: Michael Gertz." Heidelberg : Universitätsbibliothek Heidelberg, 2014. http://d-nb.info/1180032055/34.

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Roussel, Éléonore. "Spatio-temporal dynamics of relativistic electron bunches during the microbunching instability : study of the Synchrotron SOLEIL and UVSOR storage rings." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10067/document.

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Les paquets d'électrons relativistes circulant dans les anneaux de stockage sont des sources de rayonnement VUV, X et THz incontournables. Cependant, ces systèmes sont également connus pour présenter des instabilités dynamiques. Dans cette thèse, nous nous sommes intéressés à l'instabilité dite de microbunching, qui mène à l'apparition de microstructures à l'échelle millimétrique, et à l'émission de bouffées intense de rayonnement THz cohérent. L'objectif de la thèse était d'avancer dans la compréhension de la dynamique non-linéaire de ces structures, en combinant études expérimentales et numériques. Les expériences ont été effectuées au Synchrotron SOLEIL et à UVSOR, et les études numériques ont été principalement basées sur l'équation de Vlasov-Fokker-Planck. Dans un premier temps, la rapidité des échelles de temps impliquées nous a menés à réaliser des études indirectes. Des informations sur la dynamique à l'échelle picoseconde ont ainsi pu être déduites d'enregistrements au moyen de détecteurs possédant des constantes de temps beaucoup plus lentes (la microseconde), et en particulier en étudiant la réponse à des perturbations laser. Ensuite, au moyen de deux techniques nouvelles, nous avons pu réaliser les premières observations directes des structures et de leur dynamique. A UVSOR, nous avons utilisé un détecteur THz à film mince de YBCO supraconducteur. Ensuite, nous avons développé une méthode originale associant l'effet électro-optique et l'étirement temporel, ce qui nous a permis d'atteindre une résolution picoseconde, au Synchrotron SOLEIL. Ces nouvelles observations nous ont immédiatement permis de réaliser des tests extrêmement sévères des modèles théoriques<br>Relativistic electron bunches circulating in storage rings are used to produce intense radiation from far-infrared to X-rays. However, above a density threshold value, the interaction between the electron bunch and its own radiation can lead to a spatio-temporal instability called microbunching instability. This instability is characterized by a strong emission of coherent THz radiation (typically 105 times stronger than the classical synchrotron radiation) which is a signature of the presence of microstructures (at mm scale) in the electron bunch. This instability is known to be a fundamental limitation of the operation of synchrotron light sources at high beam current. In this thesis, we have focused on this instability from a nonlinear dynamics point of view by combining experimental studies carried out at the Synchrotron SOLEIL and UVSOR storage rings with numerical studies mainly based on the Vlasov-Fokker-Planck equation. In a first step, due to the very indirect nature of the experimental observations, we have sought to deduce information on the microstructure wavenumber either by looking at the temporal evolution of the THz signal emitted during the instability or by studying the response of the electron bunch to a laser perturbation. In a second step, we have achieved direct, real time observations of the microstructures dynamics through two new, very different, detection techniques: a thin-film superconductor-based detector at UVSOR, and a spectrally-encoded electro-optic detection technique at SOLEIL. These new available experimental observations have allowed severe comparisons with the theoretical models
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Roussel, Eléonore. "Spatio-temporal dynamics of relativistic electron bunches during the microbunching instability : study of the Synchrotron SOLEIL and UVSOR storage rings." Electronic Thesis or Diss., Lille 1, 2014. http://www.theses.fr/2014LIL10067.

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Les paquets d'électrons relativistes circulant dans les anneaux de stockage sont des sources de rayonnement VUV, X et THz incontournables. Cependant, ces systèmes sont également connus pour présenter des instabilités dynamiques. Dans cette thèse, nous nous sommes intéressés à l'instabilité dite de microbunching, qui mène à l'apparition de microstructures à l'échelle millimétrique, et à l'émission de bouffées intense de rayonnement THz cohérent. L'objectif de la thèse était d'avancer dans la compréhension de la dynamique non-linéaire de ces structures, en combinant études expérimentales et numériques. Les expériences ont été effectuées au Synchrotron SOLEIL et à UVSOR, et les études numériques ont été principalement basées sur l'équation de Vlasov-Fokker-Planck. Dans un premier temps, la rapidité des échelles de temps impliquées nous a menés à réaliser des études indirectes. Des informations sur la dynamique à l'échelle picoseconde ont ainsi pu être déduites d'enregistrements au moyen de détecteurs possédant des constantes de temps beaucoup plus lentes (la microseconde), et en particulier en étudiant la réponse à des perturbations laser. Ensuite, au moyen de deux techniques nouvelles, nous avons pu réaliser les premières observations directes des structures et de leur dynamique. A UVSOR, nous avons utilisé un détecteur THz à film mince de YBCO supraconducteur. Ensuite, nous avons développé une méthode originale associant l'effet électro-optique et l'étirement temporel, ce qui nous a permis d'atteindre une résolution picoseconde, au Synchrotron SOLEIL. Ces nouvelles observations nous ont immédiatement permis de réaliser des tests extrêmement sévères des modèles théoriques<br>Relativistic electron bunches circulating in storage rings are used to produce intense radiation from far-infrared to X-rays. However, above a density threshold value, the interaction between the electron bunch and its own radiation can lead to a spatio-temporal instability called microbunching instability. This instability is characterized by a strong emission of coherent THz radiation (typically 105 times stronger than the classical synchrotron radiation) which is a signature of the presence of microstructures (at mm scale) in the electron bunch. This instability is known to be a fundamental limitation of the operation of synchrotron light sources at high beam current. In this thesis, we have focused on this instability from a nonlinear dynamics point of view by combining experimental studies carried out at the Synchrotron SOLEIL and UVSOR storage rings with numerical studies mainly based on the Vlasov-Fokker-Planck equation. In a first step, due to the very indirect nature of the experimental observations, we have sought to deduce information on the microstructure wavenumber either by looking at the temporal evolution of the THz signal emitted during the instability or by studying the response of the electron bunch to a laser perturbation. In a second step, we have achieved direct, real time observations of the microstructures dynamics through two new, very different, detection techniques: a thin-film superconductor-based detector at UVSOR, and a spectrally-encoded electro-optic detection technique at SOLEIL. These new available experimental observations have allowed severe comparisons with the theoretical models
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Books on the topic "Spatio-temporal interaction"

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Cruse, Holk, and Malte Schilling. Pattern generation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0024.

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The faculty to generate patterns is a basic feature of living systems. This chapter concentrates on patterns used in the context of control of behavior. Spatio-temporal patterns appear as quasi-rhythmic patterns mainly in the domain of locomotion (e.g. swimming, flying, walking). Such patterns may be rooted directly in the nervous system itself, or may emerge in interaction with the environment. The examples given show simulation of the corresponding behaviors that in most cases are applied to robots (e.g. walking in an unpredictable environment). In addition, non-rhythmic patterns will be explained which are linked to internal states and are required to select specific behaviors and control behavioral sequences. Such states may be relevant for top-down attention and may or may not be accompanied with subjective experiences, then called mind patterns. Specific cases concern the application of an internal body model, as well as states characterized as cognitive or as conscious.
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Peters, Joris, Nadja Pöllath, and Benjamin S. Arbuckle. The emergence of livestock husbandry in Early Neolithic Anatolia. Edited by Umberto Albarella, Mauro Rizzetto, Hannah Russ, Kim Vickers, and Sarah Viner-Daniels. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199686476.013.18.

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Analysis of spatio-temporal variation in patterns of animal exploitation helps our understanding of the transition from hunting to husbandry of Ovis, Capra, Sus, and Bos in Pre-Pottery Neolithic Anatolia (c.9500–7000 bce). Despite interaction with humans since the final Pleistocene, domestication of Sus in southeastern Anatolia is only evidenced after 8500 bce. This timing coincides with efforts to exert cultural control over Ovis, Capra, and Bos. Applying a broad methodological spectrum, it is shown that in southeastern Anatolia, the Neolithic ‘package’ was in place at the end of the ninth millennium bce, whereas in contemporaneous central Anatolia, livestock husbandry only included sheep and goat. Initially, animal management practices may have focused on a single species, but after 8000 bce, herding strategies comprised at least two species, likely a risk-reducing strategy. Conceivably, large-scale social gatherings, e.g. at Göbekli Tepe, promoted the spread of practices associated with ungulate management and domestication.
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Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

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The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the tools to perform inference and prediction in the presence of uncertainty. In particular, the field of spatial statistics considers inference and prediction for uncertain processes that exhibit dependence in space and/or time. Traditionally, this is done descriptively through the characterization of the first two moments of the process, one expressing the mean structure and one accounting for dependence through covariability.Historically, there are three primary areas of methodological development in spatial statistics: geostatistics, which considers processes that vary continuously over space; areal or lattice processes, which considers processes that are defined on a countable discrete domain (e.g., political units); and, spatial point patterns (or point processes), which consider the locations of events in space to be a random process. All of these methods have been used in the climate sciences, but the most prominent has been the geostatistical methodology. This methodology was simultaneously discovered in geology and in meteorology and provides a way to do optimal prediction (interpolation) in space and can facilitate parameter inference for spatial data. These methods rely strongly on Gaussian process theory, which is increasingly of interest in machine learning. These methods are common in the spatial statistics literature, but much development is still being done in the area to accommodate more complex processes and “big data” applications. Newer approaches are based on restricting models to neighbor-based representations or reformulating the random spatial process in terms of a basis expansion. There are many computational and flexibility advantages to these approaches, depending on the specific implementation. Complexity is also increasingly being accommodated through the use of the hierarchical modeling paradigm, which provides a probabilistically consistent way to decompose the data, process, and parameters corresponding to the spatial or spatio-temporal process.Perhaps the biggest challenge in modern applications of spatial and spatio-temporal statistics is to develop methods that are flexible yet can account for the complex dependencies between and across processes, account for uncertainty in all aspects of the problem, and still be computationally tractable. These are daunting challenges, yet it is a very active area of research, and new solutions are constantly being developed. New methods are also being rapidly developed in the machine learning community, and these methods are increasingly more applicable to dependent processes. The interaction and cross-fertilization between the machine learning and spatial statistics community is growing, which will likely lead to a new generation of spatial statistical methods that are applicable to climate science.
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O'Callaghan, Casey. Perception and Multimodality. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0005.

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The article presents some findings concerning multimodality, and the philosophical implications of these findings. One of the findings is that crossmodal illusions show that perception involves interactions among processes associated with different modalities. Patterns of crossmodal bias and recalibration reveal the organization of multimodal perceptual processes. Multimodal interactions obey intelligible principles, they resolve conflicts, and they enhance the reliability of perception. Multimodal processes also demonstrate a concern across the senses for common features and individuals, for several reasons such as the intermodal biasing and recalibration responsible for crossmodal illusions requires that information from sensory stimulation associated with different senses be taken to be commensurable. The commensurable information from different senses shares, or traces to, a common source since conflict resolution requires a common subject matter. One important lesson of multimodal effects is that an analog of the correspondence problem within a modality holds between modalities. Spatio-temporal unity, objectual unity, and integration are tied to the capacity to detect constancies and solve correspondence problems across modalities. Solving crossmodal correspondence problems requires a common modal or multimodal code that is shared among modalities.
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Book chapters on the topic "Spatio-temporal interaction"

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Gunturi, Venkata M. V., and Shashi Shekhar. "Knowledge Discovery: Temporal Disaggregation in Social Interaction Data." In Spatio-Temporal Graph Data Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67771-2_7.

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Seifert, Inessa. "Collaborative Assistance with Spatio-temporal Planning Problems." In Spatial Cognition V Reasoning, Action, Interaction. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75666-8_6.

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Sivarathinabala, M., and S. Abirami. "Human Interaction Recognition Using Improved Spatio-Temporal Features." In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2538-6_20.

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Krieg-Brückner, Bernd, and Hui Shi. "Spatio-Temporal Situated Interaction in Ambient Assisted Living." In Cognitive Systems Monographs. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10403-9_21.

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Lv, Fengjun, Ramakant Nevatia, and Mun Wai Lee. "3D Human Action Recognition Using Spatio-temporal Motion Templates." In Computer Vision in Human-Computer Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573425_12.

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Šufliarsky, Adam, Günter Walllner, and Simone Kriglstein. "Through Space and Time: Spatio-Temporal Visualization of MOBA Matches." In Human-Computer Interaction – INTERACT 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42283-6_9.

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Vandecasteele, Florian, Jeroen Vervaeke, Baptist Vandersmissen, Michel De Wachter, and Steven Verstockt. "Spatio-Temporal Wardrobe Generation of Actors’ Clothing in Video Content." In Human-Computer Interaction. Novel User Experiences. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39513-5_42.

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Jin, Rui, and Ling Shao. "Retrieving Human Actions Using Spatio-Temporal Features and Relevance Feedback." In Multimedia Interaction and Intelligent User Interfaces. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-507-1_1.

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Kim, Jaewon, Gyuchull Han, Ig-Jae Kim, Hyounggon Kim, and Sang Chul Ahn. "Long-Range Hand Gesture Interaction Based on Spatio-temporal Encoding." In Distributed, Ambient, and Pervasive Interactions. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39351-8_3.

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Rahman, A. K. M. Mahbubur, Md Iftekhar Tanveer, and Mohammed Yeasin. "A Spatio-Temporal Probabilistic Framework for Dividing and Predicting Facial Action Units." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24571-8_74.

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Conference papers on the topic "Spatio-temporal interaction"

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Wang, Wentao, Haoran Xu, and Guang Tan. "InterCoop: Spatio-Temporal Interaction Aware Cooperative Perception for Networked Vehicles." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610188.

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Thuremella, Divya, Lewis Ince, and Lars Kunze. "Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611023.

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Cusson, P., A. Rasputnyi, F. Tani, D. Seletskiy, and M. Chekhova. "Ultrafast Bright Squeezed Vacuum in Nearly Single Spatio-Temporal Mode." In CLEO: Fundamental Science. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_fs.2024.fth1m.5.

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We demonstrate nearly single-mode bright squeezed vacuum sources with unprecedentedly high peak power (with mean values up to tens of MW) and few-cycle durations, which enable accessing the non-perturbative regime of light-matter interaction.
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Shoutova, O. A., and A. V. Andreev. "Spatio-temporal properties of an atomic medium interaction with vortex vector fields of femtosecond duration." In 2024 International Conference Laser Optics (ICLO). IEEE, 2024. http://dx.doi.org/10.1109/iclo59702.2024.10624256.

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Tan, Stephanie, David M. J. Tax, and Hayley Hung. "Conversation Group Detection With Spatio-Temporal Context." In ICMI '22: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. ACM, 2022. http://dx.doi.org/10.1145/3536221.3556611.

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Bourdis, Nicolas, Denis Marraud, and Hichem Sahbi. "Spatio-temporal interaction for aerial video change detection." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351049.

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Pirk, Soren, Olga Diamanti, Boris Thibert, Danfei Xu, and Leonidas Guibas. "Shape-aware spatio-temporal descriptors for interaction classification." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8297139.

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Min, Cheol-Hui, Jinseok Bae, Junho Lee, and Young Min Kim. "GATSBI: Generative Agent-centric Spatio-temporal Object Interaction." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00309.

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Wang, Ning, Guangming Zhu, Liang Zhang, Peiyi Shen, Hongsheng Li, and Cong Hua. "Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition." In MM '21: ACM Multimedia Conference. ACM, 2021. http://dx.doi.org/10.1145/3474085.3475636.

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Burch, Michael, Indre Tauroseviciute, and Guillermo Mateos Guridi. "Visual Analysis of Spatio-Temporal Earthquake Events." In VINCI'22: 15th International Symposium on Visual Information Communication and Interaction. ACM, 2022. http://dx.doi.org/10.1145/3554944.3554959.

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Reports on the topic "Spatio-temporal interaction"

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Fassnacht, Steven, Kazuyoshi Suzuki, Jessica Sanow, et al. Snow surface roughness across spatio-temporal scales. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49199.

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The snow surface is at the interface between the atmosphere and Earth. The surface of the snowpack changes due to its interaction with precipitation, wind, humidity, short- and long-wave radiation, underlying terrain characteristics, and land cover. These connections create a dynamic snow surface that impacts the energy and mass balance of the snowpack, blowing snow potential, and other snowpack processes. Despite this, the snow surface is generally considered a constant parameter in many Earth system models. Data from the National Aeronautics and Space Administration (NASA) Cold Land Processes Experiment (CLPX) collected in 2002 and 2003 across northern Colorado were used to investigate the spatial and temporal variability of snow surface roughness. The random roughness (RR) and fractal dimension (D) metrics used in this investigation are well correlated. However, roughness is not correlated across scales, computed here from snow roughness boards at a millimeter resolution and airborne lidar at a meter resolution. Process scale differences were found based on land cover at each of the two measurement scales, as appraised through measurements in the forest and alpine.
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Kamath, C., J. Franzman, and B. Daub. Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1984763.

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Kamath, C., and J. Franzman. Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II - Clustering Extremely High-Dimensional Grid-Based Data. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1984764.

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Baluk, Nadia, Natalia Basij, Larysa Buk, and Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.

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The article analyzes the peculiarities of the media content shaping and transformation in the convergent dimension of cross-media, taking into account the possibilities of augmented reality. With the help of the principles of objectivity, complexity and reliability in scientific research, a number of general scientific and special methods are used: method of analysis, synthesis, generalization, method of monitoring, observation, problem-thematic, typological and discursive methods. According to the form of information presentation, such types of media content as visual, audio, verbal and combined are defined and characterized. The most important in journalism is verbal content, it is the one that carries the main information load. The dynamic development of converged media leads to the dominance of image and video content; the likelihood of increasing the secondary content of the text increases. Given the market situation, the effective information product is a combined content that combines text with images, spreadsheets with video, animation with infographics, etc. Increasing number of new media are using applications and website platforms to interact with recipients. To proceed, the peculiarities of the new content of new media with the involvement of augmented reality are determined. Examples of successful interactive communication between recipients, the leading news agencies and commercial structures are provided. The conditions for effective use of VR / AR-technologies in the media content of new media, the involvement of viewers in changing stories with augmented reality are determined. The so-called immersive effect with the use of VR / AR-technologies involves complete immersion, immersion of the interested audience in the essence of the event being relayed. This interaction can be achieved through different types of VR video interactivity. One of the most important results of using VR content is the spatio-temporal and emotional immersion of viewers in the plot. The recipient turns from an external observer into an internal one; but his constant participation requires that the user preferences are taken into account. Factors such as satisfaction, positive reinforcement, empathy, and value influence the choice of VR / AR content by viewers.
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Bresson, Georges, Jean-Michel Etienne, and Guy Lacroix. Nighttime light pollution and economic activities: A spatio-temporal model with common factors for US counties. CIRANO, 2023. http://dx.doi.org/10.54932/soea8799.

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Excessive nighttime light is known to have detrimental effects on health and on the environment (fauna and flora). The paper investigates the link between nighttime light pollution and economic growth, air pollution, and urban density. We propose a county model of consumption which accounts for spatial interactions. The model naturally leads to a dynamic general nesting spatial model with unknown common factors. The model is estimated with data for 3071 continental US counties from 2012–2019 using a quasi-maximum likelihood estimator. Short run and long run county marginal effects emphasize the importance of spillover effects on radiance levels. Counties with high levels of radiance are less sensitive to additional growth than low-level counties. This has implications for policies that have been proposed to curtail nighttime light pollution.
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Bresson, Georges, Jean-Michel Etienne, and Guy Lacroix. Nighttime light pollution and economic activities: A spatio-temporal model with common factors for US counties. CIRANO, 2023. http://dx.doi.org/10.54932/wakk9634.

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Excessive nighttime light is known to have detrimental effects on health and on the environment (fauna and flora). The paper investigates the link between nighttime light pollution and economic growth, air pollution, and urban density. We propose a county model of consumption which accounts for spatial interactions. The model naturally leads to a dynamic general nesting spatial model with unknown common factors. The model is estimated with data for 3071 continental US counties from 2012–2019 using a quasi-maximum likelihood estimator. Short run and long run county marginal effects emphasize the importance of spillover effects on radiance levels. Counties with high levels of radiance are less sensitive to additional growth than low-level counties. This has implications for policies that have been proposed to curtail nighttime light pollution.
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Savaldi-Goldstein, Sigal, and Todd C. Mockler. Precise Mapping of Growth Hormone Effects by Cell-Specific Gene Activation Response. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7699849.bard.

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Plant yield largely depends on a complex interplay and feedback mechanisms of distinct hormonal pathways. Over the past decade great progress has been made in elucidating the global molecular mechanisms by which each hormone is produced and perceived. However, our knowledge of how interactions between hormonal pathways are spatially and temporally regulated remains rudimentary. For example, we have demonstrated that although the BR receptor BRI1 is widely expressed, the perception of BRs in epidermal cells is sufficient to control whole-organ growth. Supported by additional recent works, it is apparent that hormones are acting in selected cells of the plant body to regulate organ growth, and furthermore, that local cell-cell communication is an important mechanism. In this proposal our goals were to identify the global profile of translated genes in response to BR stimulation and depletion in specific tissues in Arabidopsis; determine the spatio-temporal dependency of BR response on auxin transport and signaling and construct an interactive public website that will provide an integrated analysis of the data set. Our technology incorporated cell-specific polysome isolation and sequencing using the Solexa technology. In the first aim, we generated and confirmed the specificity of novel transgenic lines expressing tagged ribosomal protein in various cell types in the Arabidopsis primary root. We next crossed these lines to lines with targeted expression of BRI1 in the bri1 background. All lines were treated with BRs for two time points. The RNA-seq of their corresponding immunopurified polysomal RNA is nearly completed and the bioinformatic analysis of the data set will be completed this year. Followed, we will construct an interactive public website (our third aim). In the second aim we started revealing how spatio-temporalBR activity impinges on auxin transport in the Arabidopsis primary root. We discovered the unexpected role of BRs in controlling the expression of specific auxin efflux carriers, post-transcriptionally (Hacham et al, 2012). We also showed that this regulation depends on the specific expression of BRI1 in the epidermis. This complex and long term effect of BRs on auxin transport led us to focus on high resolution analysis of the BR signaling per se. Taking together, our ongoing collaboration and synergistic expertise (hormone action and plant development (IL) and whole-genome scale data analysis (US)) enabled the establishment of a powerful system that will tell us how distinct cell types respond to local and systemic BR signal. BR research is of special agriculture importance since BR application and BR genetic modification have been shown to significantly increase crop yield and to play an important role in plant thermotolerance. Hence, our integrated dataset is valuable for improving crop traits without unwanted impairment of unrelated pathways, for example, establishing semi-dwarf stature to allow increased yield in high planting density, inducing erect leaves for better light capture and consequent biomass increase and plant resistance to abiotic stresses.
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