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Poster Programme Spatial Statistics: Emerging Patterns | Poster Programme Poster Programme Poster session 1 Wednesday, 10th June 2015 at 13:10-14:10 [P1.01] Spatial point pattern analysis for exploring the intraspecific interactions of eshnan (Seidlitzia rosmarinus) shrubs in Qehi protected area, central Iran Y. Erfanifard, E. Khosravi*, Shiraz University, Iran [P1.02] Mapping end-stage renal disease: Spatial variations on small area level and association with deprivation F. Occelli*1, M. Génin1, A. Deram1, C. Noël2, F. Glowacki2, D. Cuny1, 1Université Lille, France, 2CHRU de Lille, France [P1.03] Filtering Volunteered Geospatial information (VGI) using Spatial Point Pattern. Birds observer's credibility P. Aragó*1, P. Juan1, M. Saez2, D. Varga1, 1University Jaume I, Spain, 2University of Girona, Spain [P1.04] Spatial disaggregation of mortality data using penalized composite link mixed models D. Ayma Anza*1, M. Durbán Reguera1, D-J. Lee2, 1Universidad Carlos III de Madrid, Spain, 2Basque Center of Applied Mathematics, Spain [P1.05] Spatial modelling of extreme rainfall in northeast Thailand S. Yoon*1, B. Kumphon2, J-S. Park3, 1Weather Information Service Engine, Republic of Korea, 2Mahasarakham University, Thailand, 3Chonnam National University, Republic of Korea [P1.06] The effects of air pollution on mortality in South Korea J.O. Park1, S. Yoon*2, M.H. Na1, H-C. Song3, 1Chonnam National University, Republic of Korea, 2Weather Information Service Engine, Republic of Korea, 3Chonnam National University Hospital, Republic of Korea [P1.07] An author topic-based approach to cluster tweets and mine their location M. Morchid1, Y. Portilla*1, D. Josselin1 ,2, R. Dufour1, E. Altman3, M. El-Beze1, J-V. Cossu1, G. Linares1, A. Reiffers- Masson1, 1University of Avignon, France, 2UMR ESPACE 7300, France, 3INRIA, France [P1.08] Predictive modelling of seismic hazard applying naïve Bayes and granular computing classifiers H. Sheikhian1, M.R. Delavar1, A. Stein*2, 1University of Tehran, Iran, 2University of Twente, The Netherlands [P1.09] Spatially Balanced Sampling: Application to environmental surveys J.A. Brown*1, B.L. Robertson1, T. McDonald2, 1University of Canterbury, New Zealand, 2Western Ecosystems Technology Inc., USA [P1.10] spatio-temporal analysis for bird migration phenology using citizen science data A. Arab*1, J.R. Courter2, J. Zelt3, 1Georgetown University, USA, 2Malone University, USA, 3North American Bird Phenology Program, USA [P1.11] Density-based human mobility clusters and 2014 Ebola epidemic spread in West Africa K. Sallah*, R. Giorgi, J. Gaudart, Aix-Marseille Université, France [P1.12] Analysis and modeling spatial and spatial-ontogenetic structure of old-growth boreal forests by random point process models with hierarchical interactions P. Grabarnik*1, J. Heikkinen2, A. Aleinikov3, 1Russian Academy of Sciences, Russia, 2Natural Resources Institute Finland (Luke), Finland, 3Centre for problems of ecology and productivity of forests (RAS), Russia [P1.13] Predicting the potential distribution and ecological effects of the invasion of Lupinus polyphyllus (Lindl.) in Germany and beyond V.M.S. Vetter*1, A. Jentsch2, C. Buhk1, 1University Koblenz-Landau, Germany, 2University Bayreuth, Germany [P1.14] Filtering and mapping public health data with an innovative kriging approach, accounting for single observation variance V. Casella*1, A. Manzino2, R. Bellazzi1, M. Franzini1, 1University of Pavia, Italy, 2Polytechnic of Torino, Italy [P1.15] Small area estimation of diagnosed and undiagnosed diabetes prevalence in the US using BRFSS and NHANES data L. Dwyer-Lindgren*, M. Ng, A.D. Flaxman, A.H. Mokdad, Institute for Health Metrics and Evaluation, University of Washington, USA [P1.16] Windowed FLP-ETAS model with application to the Chilean seismic catalogs O. Nicolis*1, M. Chiodi2, G. Adelfio2, 1University of Valparaiso, Chile, 2University of Palermo, Italy [P1.17] Spatial-temporal modelling of under-5 mortality using survey data with different levels of spatial aggregation L. Dwyer-Lindgren*, D.A. Roberts, A.D. Flaxman, S.S. Lim, University of Washington, USA Spatial Statistics: Emerging Patterns | Poster Programme [P1.18] Mapping the distribution of marine birds in the Northeast and Mid-Atlantic using a space-time double- hurdle model E. Balderama*1, B. Gardner2, B. Reich2, 1Loyola University Chicago, USA, 2North Carolina State University, USA [P1.19] Spatial distribution estimation of malaria in Northern China with genetic programming under climate change scenarios Y.Z. Song1 ,2, Y. Ge*2 ,3, J.F. Wang2, J.H. Peng1, Z.P. Ren2, Y.L. Liao2, 1China University of Geosciences (Beijing), China, 2Chinese Academy of Sciences, China, 3Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, China [P1.20] An adaptation of profile regression to spatial data to assess long term effects of metals from particulate matter on health A. Lavigne*2 ,1, M. Blangiardo1, K. de Hoogh1, N. Best1, A. Hansell1, 1Imperial College, UK, 2Université de Lille, France [P1.21] Flood risk vulnerability assessment: what are the main factors? Classification and relative contribution of the main factors of flood risk vulnerability at a regional level. G. Jouannic*, T. Legendre, P. Gastaud, Z. Kolli, M. Marchetti, D. Felts, Cerema, France [P1.22] Spatial distribution of the dengue vector aedes aegypti in rural areas of anapoima and la mesa municipalities, central colombia L. Cabezas*1, W. Cabanzo2, F. Santa2, V.A. Olano1, D. Sarmiento1, S. Vargas1, J.F. Jaramillo1, T.A. Stenstrom3, H. Overgaard4 ,5, M.I. Matiz1, 1Universidad El Bosque, Colombia, 2Universidad Distrital Francisco José de Caldas, Colombia, 3Durban University of Technology, South Africa, 4Norwegian University of Life Sciences, Norway, 5Montpellier Cedex 5, France [P1.23] Substitute CT generation using Markov random field mixture models A.G.F. Hildeman*1, D. Bolin1, J. Wallin1, A. Johansson2, T. Nyholm2, T. Asklund2, J. Yu2, 1Chalmers University of Technology, Sweden, 2Umeå University, Sweden [P1.24] A coregionalization model to assist the selection process of local and global variables in semiparametric geographically weighted poisson regression M.C. Ribeiro*, A.J. Sousa, M.J. Pereira, Universidade de Lisboa, Portugal [P1.25] “Eurovisioness” as a measure of spatial dependence: revision of economic growth L. Sattarova, Goethe University of Frankfurt, Germany [P1.26] Increasing the depth of current understanding: sensitivity tests of larval dispersal models for ecologists R.E. Ross*1, W.A.M. Nimmo-Smith1, K.L. Howell1, 1Plymouth University, UK, 2Plymouth University, UK, 3Plymouth University, UK [P1.27] Spatio-temporal analysis of remote sensing and field measurements for smart farming M. van Persie1, H.H.N. Noorbergen1, B. van de Kerkhof*1, L. Schouten2, R. Ghauharali3, 1National Aerospace Laboratory, The Netherlands, 2Infram BV, The Netherlands, 3VB Ecoflight BV, The Netherlands [P1.28] Where did all the points go? C.M. Jones-Todd*, J.B. Illian, St Andrews University, UK [P1.29] A copula-based habit environment index for fish spatial population models C. Marsh1, N. Sibanda*1, M. Dunn1, A. Dunn2, 1Victoria University of Wellington, New Zealand, 2National Institute of Water and Atmospheric Research, New Zealand [P1.30] Tessellation-based segmentation for isolating mesoscale oceanic eddies from satellite observation Q. Wu, University College London, UK [P1.31] Spatial species interactions in cloud forests C. Díaz-Ávalos*, N.R. Mejía-Domínguez, Universidad Nacional Autonoma de Mexico, Mexico [P1.32] Prediction model of traffic accident points in consideration of probe-car data S. Tatsuki*, F. Tomoyuki, Keio University, Japan [P1.33] Spatial distribution of Cervical Cancer Incidence and socio-economic conditions in San Luis Potosí State, Mexico. M. Terán-Hernández*1, R. Ramis-Prieto2, J. Calderón-Hernández1, M. Aguilar-Robledo1, 1Universidad Autónoma dev San Luis Potosí, Mexico, 2National Centre for Epidemiology, Carlos III Institute of Health, Spain [P1.34] Poisson spatial regression model to study gastric cancer in Boyaca department, Colombia in 2005 F. Sarmiento, F. Santa*, Universidad Distrital Francisco Jose De Caldas, Colombia [P1.35] Estimation of multivariable and multivariate spatial variability for child adiposity measures in rural South African households E. Musenge*1, L. Kimani-Murage2, S.A. Norris1, K. Kahn1 ,2, 1University of the Witwatersrand, South Africa, Spatial Statistics: Emerging Patterns | Poster Programme 2African Population and Health Research Centre, Kenya, 3Centre for Global Health Research, Sweden, 4INDEPTH Network, Ghana [P1.36] Association between visceral leishmaniasis social indicators in the city of Campo Grande, Brazil E.F. Oliveira1, A.G. Oliveira2, P.M. Batista2, M.J. Medeiros*1 ,3, 1Universidade de São Paulo, Brazil, 2Universidade Federal de Mato Grosso do Sul, Brazil, 3Universidade Federal do Rio de Janeiro, Brazil [P1.37] Modelling spatial relationship between climatic conditions and annual parasite incidence of malaria S. Elmogy*, N. Zeft, Cairo University, Egypt [P1.38] A Bayesian modelling proposal for highly multivariate disease mapping M.A. Martinez-Beneito*1, P. Botella Rocamora1, S. Banerjee1, 1FISABIO-Public Health, Spain, 2University CEU- Cardenal Herrera, Spain, 3University of California, Los Angeles, USA [O2.25] Spatial patterns of links between temperature extremes and cardiovascular health in the Czech Republic A. Urban1,2, J. Kysely*1 1Institute of Atmospheric Physics AS CR, Prague, Czech Republic, 2Charles
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