Results 31 to 40 of about 4,738 (165)

A data fusion model for meteorological data using the INLA-SPDE method [PDF]

Journal of the Royal Statistical Society Series C: Applied Statistics
Abstract We present a data fusion model designed to address the problem of sparse observational data by incorporating numerical forecast models as an additional data source to improve predictions of key variables. This model is applied to two main meteorological data sources in the Philippines.
Stephen Jun Villejo, Sara Martino, Finn Lindgren, Janine B Illian   +3 more
openaire   +2 more sources

Accounting for unobserved spatial variation in step selection analyses of animal movement via spatial random effects

Methods in Ecology and Evolution, 2023
Step selection analysis (SSA) is a common framework for understanding animal movement and resource selection using telemetry data. Such data are, however, inherently autocorrelated in space, a complication that could impact SSA‐based inference if left ...
Rafael Arce Guillen, Finn Lindgren, Stefanie Muff, Thomas W. Glass, Greg A. Breed, Ulrike E. Schlägel   +5 more
doaj   +1 more source

Fitting complex ecological point process models with integrated nested Laplace approximation [PDF]

, 2013
Summary 1. We highlight an emerging statistical method, integrated nested Laplace approximation (INLA), which is ideally suited for fitting complex models to many of the rich spatial data sets that ecologists wish to analyse. 2.
Gallego-Fernández, Juan B., Travis, Justin M. J., Illian, Janine Baerbel, Esquivias, M. Paz, Martino, Sara, Zunzunegui, Maria, Illian, Janine B., Warton, David, Sørbye, Sigrunn H., Travis, Justin M.   +9 more
core   +1 more source

Space-time mapping of wasting among children under the age of five years in Somalia from 2007 to 2010. [PDF]

, 2016
Objective To determine the sub-national seasonal prevalence and trends wasting from 2007 to 2010 among children under the age of five years in Somalia using remote sensing and household survey data from nutritional surveys by location.
Kinyoki, Damaris K., Noor, Abdisalan M, Kinyoki, DK, Kinyoki, Damaris, Berkley, James, Kinyoki, Damaris K, Odundo, EO, Moloney, Grainne M., Odundo, Elijah O, Berkley, James A, Moloney, GM, Noor, AM, Berkley, JA, Kandala, Ngianga-Bakwin, Odundo, Elijah, Noor, Abdisalan, Kandala, N-B, Odundo, Elijah O., Berkley, James A., Noor, Abdisalan M., Moloney, Grainne, Moloney, Grainne M   +21 more
core   +1 more source

Spatial modeling with R-INLA : a review [PDF]

, 2018
Coming up with Bayesian models for spatial data is easy, but performing inference with them can be challenging. Writing fast inference code for a complex spatial model with realistically‐sized datasets from scratch is time‐consuming, and if changes are ...
Bolin, David, Haakon Bakka, Håvard Rue, Finn Lindgren, Simpson, Daniel,, Rue, H\ue5vard, Illian, Janine B., Daniel Simpson, Riebler, A., Lindgren, Finn,, Simpson, D., Riebler, Andrea, Krainski, Elias,, Riebler, Andrea,, Krainski, Elias, Rue, Håvard,, Fuglstad, Geir Arne,, Elias Krainski, David Bolin, Bakka, Haakon,, Illian, J., Simpson, Daniel, Illian, Janine, Lindgren, Finn; id_orcid, Krainski, E., Illian, Janine B.,, Rue, Håvard, Janine Illian, Lindgren, F., Riebler, Andrea Ingeborg, Fuglstad, G. A., Fuglstad, Geir-arne, Geir‐Arne Fuglstad, Bakka, Haakon, Fuglstad, Geir Arne, Andrea Riebler, Bolin, David,, Rue, H., Lindgren, Finn, Krainski, Elias Teixeira   +39 more
core   +2 more sources

A Spatiotemporal Prediction Model for Regional Scheduling of Shared Bicycles Based on the INLA Method

Journal of Advanced Transportation, 2021
Dock-less bicycle-sharing programs have been widely accepted as an efficient mode to benefit health and reduce congestions. And modeling and prediction has always been a core proposition in the field of transportation.
Zhuoran Yu, Yimeng Duan, Shen Zhang, Xin Liu, Kui Li   +4 more
doaj   +1 more source

Spatiotemporal Modeling of Zoonotic Arbovirus Transmission in Northeastern Florida Using Sentinel Chicken Surveillance and Earth Observation Data

Remote Sensing, 2022
The irregular timing and spatial variation in the zoonotic arbovirus spillover from vertebrate hosts to humans and livestock present challenges to predicting spillover occurrence over time and across broader geographic areas, compromising effective ...
Lindsay P. Campbell, Robert P. Guralnick, Bryan V. Giordano, Mohamed F. Sallam, Amely M. Bauer, Yasmin Tavares, Julie M. Allen, Caroline Efstathion, Suzanne Bartlett, Randy Wishard, Rui-De Xue, Benjamin Allen, Miranda Tressler, Whitney Qualls, Nathan D. Burkett-Cadena   +14 more
doaj   +1 more source

Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts

Environmental Research Letters, 2021
As Amazon deforestation rates reach the highest levels observed in the past decade, it is extremely important to direct conservation efforts to regions containing preserved forests with a high risk of deforestation.
Rodolfo Jaffé, Samia Nunes, Jorge Filipe Dos Santos, Markus Gastauer, Tereza C Giannini, Wilson Nascimento Jr, Marcio Sales, Carlos M Souza Jr, Pedro W Souza-Filho, Robert J Fletcher Jr   +9 more
doaj   +1 more source

Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes

Ecosphere, 2017
Suffolk County, New York, is a locus for West Nile virus (WNV) infection in the American northeast that includes the majority of Long Island to the east of New York City.
Mark H. Myer, Scott R. Campbell, John M. Johnston   +2 more
doaj   +1 more source

Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goats.

PLoS Neglected Tropical Diseases, 2023
Uganda has had repeated outbreaks of Rift Valley fever (RVF) since March 2016 when human and livestock cases were reported in Kabale after a long interval.
Dan Tumusiime, Emmanuel Isingoma, Optato B Tashoroora, Deo B Ndumu, Milton Bahati, Noelina Nantima, Denis Rwabiita Mugizi, Christine Jost, Bernard Bett   +8 more
doaj   +1 more source