Auswahl der wissenschaftlichen Literatur zum Thema „Spatio-Temporal heterogeneity“
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Zeitschriftenartikel zum Thema "Spatio-Temporal heterogeneity"
Scarrott, Rory Gordon, Fiona Cawkwell, Mark Jessopp, Caroline Cusack, Eleanor O’Rourke und C. A. J. M. de Bie. „Ocean-Surface Heterogeneity Mapping (OHMA) to Identify Regions of Change“. Remote Sensing 13, Nr. 7 (27.03.2021): 1283. http://dx.doi.org/10.3390/rs13071283.
Der volle Inhalt der QuelleJi, Jiahao, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang und Yu Zheng. „Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction“. Proceedings of the AAAI Conference on Artificial Intelligence 37, Nr. 4 (26.06.2023): 4356–64. http://dx.doi.org/10.1609/aaai.v37i4.25555.
Der volle Inhalt der QuelleAtkinson, Peter M. „Pierre Dutilleul: Spatio-temporal Heterogeneity: Concepts and Analyses“. Mathematical Geosciences 46, Nr. 4 (21.03.2014): 513–15. http://dx.doi.org/10.1007/s11004-014-9528-z.
Der volle Inhalt der QuelleRen, Siyuan, Bin Guo, Qinfen Wang und Zhiwen Yu. „Non-IID spatio-temporal prediction in smart cities“. XRDS: Crossroads, The ACM Magazine for Students 28, Nr. 3 (März 2022): 38–41. http://dx.doi.org/10.1145/3522692.
Der volle Inhalt der QuelleZhu, Jun. „Spatio‐Temporal Heterogeneity: Concepts and Analyses by DUTILLEUL, P.R.L.“ Biometrics 69, Nr. 2 (Juni 2013): 557–58. http://dx.doi.org/10.1002/biom.12055.
Der volle Inhalt der QuelleShi, Qiang, Wujiao Dai, Rock Santerre, Zhiwei Li und Ning Liu. „Spatially Heterogeneous Land Surface Deformation Data Fusion Method Based on an Enhanced Spatio-Temporal Random Effect Model“. Remote Sensing 11, Nr. 9 (07.05.2019): 1084. http://dx.doi.org/10.3390/rs11091084.
Der volle Inhalt der QuelleYuan, Haitao, Guoliang Li und Zhifeng Bao. „Route Travel Time Estimation on a Road Network Revisited“. Proceedings of the VLDB Endowment 16, Nr. 3 (November 2022): 393–405. http://dx.doi.org/10.14778/3570690.3570691.
Der volle Inhalt der QuelleChen, Enhui, Zhirui Ye und Hui Bi. „Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances“. Sustainability 11, Nr. 24 (10.12.2019): 7069. http://dx.doi.org/10.3390/su11247069.
Der volle Inhalt der QuelleZhang, Yan, Bak Koon Teoh, Limao Zhang und Jiayu Chen. „Spatio-temporal heterogeneity analysis of energy use in residential buildings“. Journal of Cleaner Production 352 (Juni 2022): 131422. http://dx.doi.org/10.1016/j.jclepro.2022.131422.
Der volle Inhalt der QuelleBanerjee, Bidisha, Dipanjan Bhattacharya und G. V. Shivashankar. „Chromatin Structure Exhibits Spatio-Temporal Heterogeneity within the Cell Nucleus“. Biophysical Journal 91, Nr. 6 (September 2006): 2297–303. http://dx.doi.org/10.1529/biophysj.105.079525.
Der volle Inhalt der QuelleDissertationen zum Thema "Spatio-Temporal heterogeneity"
Mazzola, Monica B. „Spatio-temporal heterogeneity and habitat invasibility [sic] sagebrush steppe ecosystems“. abstract, 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3307539.
Der volle Inhalt der QuelleAfán, Asencio Isabel. „Ecological response of marine predators to environmental heterogeneity and spatio-temporal variability in resource availability“. Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/398990.
Der volle Inhalt der QuelleHe, Qian. „Spatio-Temporal Patterns, Correlations, and Disorder in Evolutionary Game Theory“. Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/40296.
Der volle Inhalt der QuellePh. D.
Umakhanthan, Kanagaratnam Civil & Environmental Engineering Faculty of Engineering UNSW. „Estimation of the spatio-temporal heterogeneity of rainfall and its importance towards robust catchment simulation, within a hydroinformatic environment“. Awarded by:University of New South Wales. School of Civil and Environmental Engineering, 2002. http://handle.unsw.edu.au/1959.4/18668.
Der volle Inhalt der QuelleLambert, Charlotte. „Top predators in marine ecosystem : their response to ocean spatio-temporal variability“. Thesis, La Rochelle, 2016. http://www.theses.fr/2016LAROS010/document.
Der volle Inhalt der QuelleMarine ecosystem is hard to study and several gaps remain in our understanding of cetaceans and seabirds, particularly regarding their at-sea distributions. The pelagic ecosystem is characterised by an important spatiotemporal variability, thanks to the space and time dynamics of its constituting ecological processes. Top predators thus have to anticipate this variability to sustain themselves in the ecosystem. Based on large-scale surveys across waters of the English Channel, Bay of Biscay and north-western Mediterranean Sea, this thesis aimed at improving knowledge regarding the distribution of cetaceans and seabirds in the area, and to explore the impact of ocean spatiotemporal variability on their ecology. This work focused on two temporal scales, the seasonal and interannual variability. We first explored the variations of habitat preferences of studied species at these two temporal scales. Cetaceans and seabirds being long-lived species characterised by long learning periods in their early life, the response to seasonality was investigated according to age and experience in northern gannets, the most abundant seabird species in the area. Finally, the predator-prey association within the Bay of Biscay was also explored, by contrasting prey accessibility in terms of size and depth. The implications of this work regarding the ecology of marine top predators, as well as their conservation, are finally discussed
Guo, Dali. „Spatio-temporal patterns of soil resources following disturbance in a 40-year-old slash pine (pinus elliottii Engelm.) forest in the Coastal Plain of South Carolina“. Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29346.
Der volle Inhalt der QuellePh. D.
Olazcuaga, Laure. „Réponses adaptatives chez Drosophila suzukii, une espèce généraliste envahissante“. Electronic Thesis or Diss., Montpellier, SupAgro, 2019. http://www.theses.fr/2019NSAM0045.
Der volle Inhalt der QuelleThe evolution of the match between the phenotype of organisms and their environment is a major issue in evolutionary biology, especially in a context of global change. During my PhD, I investigated the adaptive response to spatio-temporal environmental heterogeneity at different geographic and temporal scales of the spotted wing drosophila Drosophila suzukii, an invasive generalist pest of fruit crops. I used ecological genetic approaches, that combine populations genomics and experimental approaches focusing on lifehistory trait analyses. Based on an association study between genome-wide allelic variations and the invasive or native status of 22 populations sampled worldwide, I identified candidate genes whose allelic variation was strongly associated with the invasion status of D. suzukii. On a finer time and geographic scale (i.e., within a region of the invaded area), I studied the adaptive response of this species to spatiotemporal heterogeneity in host fruit availability. Using experimental evolution in the lab, I found that local adaptation patterns to host fruits emergence within less than 30 generations. Surprisingly, I detected a similar pattern in natural populations that evolved for less than four generations on the same fruit in the field. The speed of adaptive responses observed in natura raises important questions regarding the nature and the dynamics of processes influencing the evolution of fine geographic scale local adaptation in spatiotemporally heterogeneous environments. This PhD work provides new conceptual and methodological elements that improve our understanding of the dynamics of the adaptation of phytophagous insects to their host plant and of the evolutionary changes occurring during the invasion process
Smucker, Nathan J. „Using Diatoms and Biofilms to Assess Agricultural and Coal Mining Impacts on Streams, Spatio-Temporal Variability, and Successional Processes“. Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1276285170.
Der volle Inhalt der QuelleUmakhanthan, K. „Estimation of the spatio-temporal heterogeneity of rainfall and its importance towards robust catchment simulation, within a hydroinformatic environment /“. 2002. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20030217.121039/index.html.
Der volle Inhalt der QuelleBücher zum Thema "Spatio-Temporal heterogeneity"
Dutilleul, Pierre. Spatio-temporal heterogeneity: Concepts and analyses. Cambridge: Cambridge University Press, 2011.
Den vollen Inhalt der Quelle findenMiguel, Eve, Florence Fournet, Serge Yerbanga, Nicolas Moiroux, Franck Yao, Timothée Vergne, Bernard Cazelles, Roch K. Dabiré, Frédéric Simard und Benjamin Roche. Optimizing public health strategies in low-income countries: epidemiology, ecology and evolution for the control of malaria. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789833.003.0016.
Der volle Inhalt der QuelleBuchteile zum Thema "Spatio-Temporal heterogeneity"
Kaushik, Saurabh, Pawan Kumar Joshi, Tejpal Singh und Mohd Farooq Azam. „Spatio-Temporal Heterogeneity in Glaciers Response Across Western Himalaya“. In Mountain Landscapes in Transition, 185–206. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70238-0_4.
Der volle Inhalt der QuelleTran, Ba-Huy, Christine Plumejeaud-Perreau, Alain Bouju und Vincent Bretagnolle. „A Semantic Mediator for Handling Heterogeneity of Spatio-Temporal Environment Data“. In Communications in Computer and Information Science, 381–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24129-6_33.
Der volle Inhalt der QuelleFreemark, Kathryn E., John B. Dunning, Sallie J. Hejl und John R. Probst. „A Landscape Ecology Perspective For Research, Conservation, And Management“. In Ecology And Management Of Neotropical Migratory Birds, 381–427. Oxford University PressNew York, NY, 1995. http://dx.doi.org/10.1093/oso/9780195084405.003.0014.
Der volle Inhalt der QuelleJoshi, P. K., und Neena Priyanka. „Geo-Informatics for Land Use and Biodiversity Studies“. In Geographic Information Systems, 1913–39. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch114.
Der volle Inhalt der QuelleGlowczewski, Barbara. „A Topological Approach to Australian Cosmology and Social Organisation“. In Indigenising Anthropology with Guattari and Deleuze, 202–22. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474450300.003.0007.
Der volle Inhalt der QuelleFaucon, Térésa. „Godard’s suburban years“. In Screening the Paris suburbs. Manchester University Press, 2018. http://dx.doi.org/10.7228/manchester/9781526106858.003.0011.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Spatio-Temporal heterogeneity"
Hu, Shihui, Xinmeng Wan und Danhuai Guo. „Spatio-temporal Heterogeneity Analysis of Transportation Equity Based on GTWR“. In SIGSPATIAL '23: The 31st ACM International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3615884.3629432.
Der volle Inhalt der QuelleZhen, Andrew, Minjeong Kim und Guorong Wu. „Disentangling The Spatio-Temporal Heterogeneity of Alzheimer’s Disease Using A Deep Predictive Stratification Network“. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021. http://dx.doi.org/10.1109/isbi48211.2021.9433903.
Der volle Inhalt der QuelleDiaz, M. B., G. W. Lee, S. Yun und K. Y. Kim. „Spatio-Temporal Evolution of Swelling Behavior of Gyeongju Bentonite Under Hydration Process“. In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0854.
Der volle Inhalt der QuelleMumenthaler, Shannon, Jasmine Foo, Nathan Choi, William Pao, David Agus, Franziska Michor und Parag Mallick. „Abstract PR16: Spatio-temporal heterogeneity in the tumor microenvironment influences the evolutionary dynamics of drug resistance“. In Abstracts: AACR Special Conference on Cellular Heterogeneity in the Tumor Microenvironment; February 26 — March 1, 2014; San Diego, CA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.chtme14-pr16.
Der volle Inhalt der QuelleKhurana, Swamini, Falk Heße und Martin Thullner. „Influence of Spatio-Temporal Heterogeneity on Biogeochemical Cycling in the Subsurface Using a Numerical Modeling Approach“. In Goldschmidt2020. Geochemical Society, 2020. http://dx.doi.org/10.46427/gold2020.1291.
Der volle Inhalt der QuelleGil-Bernabe, Sara, Noa Feas Rodríguez, Miriam Vega Herrero, Jose Javier Estébanez García und Ginesa M. Garcia-Rostan. „Abstract 2770: Spatio-temporal genetic heterogeneity and clonal evolution in advanced papillary thyroid carcinomas and matched distant metastases“. In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-2770.
Der volle Inhalt der QuelleGil-Bernabe, Sara, Noa Feas Rodríguez, Miriam Vega Herrero, Jose Javier Estébanez García und Ginesa M. Garcia-Rostan. „Abstract 2770: Spatio-temporal genetic heterogeneity and clonal evolution in advanced papillary thyroid carcinomas and matched distant metastases“. In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-2770.
Der volle Inhalt der QuelleLiu, Fabao, Xingli Jia, Dang Wang und Ao Du. „Analysis on the Spatio-Temporal Heterogeneity of the Regional Ecosystem Services Value in the Process of Road Networking“. In 20th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.287.
Der volle Inhalt der QuelleXicai Pan, P. Klenk, K. Roth, Jiabao Zhang, Ping Huang und Dan He. „Multi-channel GPR to assess the influence of shallow structural heterogeneity on spatio-temporal variations of near-surface soil water content“. In 2012 14th International Conference on Ground Penetrating Radar (GPR). IEEE, 2012. http://dx.doi.org/10.1109/icgpr.2012.6254944.
Der volle Inhalt der QuelleGil, Sara, José Javier Estébanez, Noa Féas, Joaquín Fra und Ginesa María Garcia-Rostán. „Abstract PO-005: Spatio-temporal geographical molecular mapping of primary papillary thyroid carcinomas and paired distant metastases: Clinical relevance for monitoring and targeting tumor heterogeneity“. In Abstracts: AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; September 17-18, 2020. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.tumhet2020-po-005.
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