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A spatio-temporal model and inference tools for longitudinal count data on multicolor cell growth [article]

Puxue Qiao, Christina Mølck, Davide Ferrari, Frédéric Hollande
2018 arXiv   pre-print
Current analysis methods focus mainly on univariate cases, often not considering the spatio-temporal effects affecting cell growth between different cell populations.  ...  Multicolor cell spatio-temporal image data have become important to investigate organ development and regeneration, malignant growth or immune responses by tracking different cell types both in vivo and  ...  Fig- ure 2 illustrates estimated spatio-temporal impacts between cell types using a directed graph.  ... 
arXiv:1610.03608v4 fatcat:usojiuee4vb7bncg5ntj4or2mm

A Spatio-Temporal Model and Inference Tools for Longitudinal Count Data on Multicolor Cell Growth

PuXue Qiao, Christina Mølck, Davide Ferrari, Frédéric Hollande
2018 The International Journal of Biostatistics  
Current analysis methods focus mainly on univariate cases, often not considering the spatio-temporal effects affecting cell growth between different cell populations.  ...  Statistical modeling of image data from common longitudinal cell experiments poses significant challenges due to the presence of complex spatio-temporal interactions between different cell types and difficulties  ...  spatio-temporal interactions between cell types.  ... 
doi:10.1515/ijb-2018-0008 pmid:29981281 fatcat:qwjx6gg5t5ab7b5rjlylo4zhpe

Analyzing Local Spatio-Temporal Patterns of Police Calls-for-Service Using Bayesian Integrated Nested Laplace Approximation

Hui Luan, Matthew Quick, Jane Law
2016 ISPRS International Journal of Geo-Information  
., count of calls-for-service) is estimated through a number of parameters including spatial, temporal, and spatio-temporal random effects [26] .  ...  ., space-time incident counts) and prior information (i.e., spatial and temporal structures) to estimate posterior probability distributions of model parameters, including space-time interaction [28] .  ...  Acknowledgments: The authors thank the Waterloo Regional Police Service for providing calls-for-service data.  ... 
doi:10.3390/ijgi5090162 fatcat:kbtekaqlsbfapmwwitnbibfwta

Modern perspectives on statistics for spatio-temporal data

Christopher K. Wikle
2014 Wiley Interdisciplinary Reviews: Computational Statistics  
characterize the associated spatio-temporal dependence by the use of dynamical models.  ...  Spatio-temporal statistical models are increasingly being used across a wide variety of scientific disciplines to describe and predict spatially explicit processes that evolve over time.  ...  I would also like to thank Noel Cressie, Ralph Milliff, an anonymous reviewer, and the editor for helpful comments on an earlier draft.  ... 
doi:10.1002/wics.1341 fatcat:z57mzxfz6vdidga7fex426jq5i

A general science-based framework for dynamical spatio-temporal models

Christopher K. Wikle, Mevin B. Hooten
2010 Test (Madrid)  
Spatio-temporal statistical models are increasingly being used across a wide variety of scientific disciplines to describe and predict spatially-explicit processes that evolve over time.  ...  Here, we present an overview of a framework for incorporating scientific information to motivate dynamical spatio-temporal models. First, we illustrate the methodology with the linear case.  ...  The authors would like to thank the two anonymous reviewers for providing many helpful suggestions to improve the paper.  ... 
doi:10.1007/s11749-010-0209-z fatcat:zdc2mybkzzf7bl5qpsjjj6t7ru

Computer Based Modeling of Vegetation Propagation across a Disturbed Space Linked to GIS

Lubos Matejicek, Pavel Kovar
2015 Journal of Earth Science and Engineering  
As a result, it can be concluded that remotely sensed data are a valuable source of information for estimates of model parameters and provide an effective method for monitoring the progress of vegetation  ...  The local dynamic model describes vegetation growth using a logistic growth approach based on delayed variables.  ...  Acknowledgements The spatio-temporal model and the GIS project have been processed using MATLAB, ArcGIS and ENVI in the GIS Laboratory of the Faculty of Science, Charles University in Prague.  ... 
doi:10.17265/2159-581x/2015.07.002 fatcat:v62asvghfvht7gsbczuiohjfpy

Understanding complex spatial dynamics from mechanistic models through spatio‐temporal point processes

Patrizia Zamberletti, Julien Papaïx, Edith Gabriel, Thomas Opitz
2022 Ecography  
By developing a metamodelling approach based on spatio-temporal point processes (STPPs), we characterise spatio-temporal population dynamics and landscape heterogeneity relationships in agricultural contexts  ...  A possibility to deal with this complexity is to aggregate outputs over time or space, but then interesting information may be masked and lost, such as local spatio-temporal relationships or patterns.  ...  Discussion We propose post-model scaling using regression meta-models based on marked spatio-temporal point processes (STPPs).  ... 
doi:10.1111/ecog.05956 fatcat:ptaf5yje4bawzfnmm6xcuxeucq

Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning

P. Heas, M. Datcu
2005 IEEE Transactions on Geoscience and Remote Sensing  
The concept is based on a hierarchical Bayesian modeling of SITS information content which enables us to link the interest of a user to specific spatio-temporal structures.  ...  This paper presents an information mining concept which enables a user to learn and retrieve spatio-temporal structures in SITS.  ...  Giros for stimulating discussions and for carefully preprocessing the data. The data were made available by the French Space Agency (CNES) from the ADAM project.  ... 
doi:10.1109/tgrs.2005.847791 fatcat:uiarpp3dw5e4figd4fyktlzx7e

How to understand species' niches and range dynamics: a demographic research agenda for biogeography

Frank M. Schurr, Jörn Pagel, Juliano Sarmento Cabral, Jürgen Groeneveld, Olga Bykova, Robert B. O'Hara, Florian Hartig, W. Daniel Kissling, H. Peter Linder, Guy F. Midgley, Boris Schröder, Alexander Singer (+1 others)
2012 Journal of Biogeography  
Because correlative species distribution models do not account for these processes, they are likely to produce biased niche estimates and biased forecasts of future range dynamics.  ...  It also forms the basis for understanding how niches and range dynamics are shaped by evolutionary dynamics and biotic interactions.  ...  ACKNOWLEDGEMENTS We thank Michael Kearney, Bob Holt and Steven Higgins for very helpful and thoughtful comments.  ... 
doi:10.1111/j.1365-2699.2012.02737.x fatcat:enqzd2vmmvcqdbogf66txwphmq

Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science

Julian Mercieca, Visakan Kadirkamanathan
2016 Annual Reviews in Control  
They illustrate the wide applicability of estimation and identification of spatio-temporal processes as novel advances in sensor systems and data collection are used to observe them.  ...  state and parameter estimation.  ...  Parham Aram for his contribution in the review of spatio-temporal estimation and identification applications in healthcare and providing insightful comments that improved the overall quality of the paper  ... 
doi:10.1016/j.arcontrol.2016.09.011 fatcat:jgrcbzbxljg4xbjvv22ejavzxi

Flexible multivariate spatio-temporal Hawkes process models of terrorism [article]

Mikyoung Jun, Scott Cook
2022 arXiv   pre-print
Even the existing work on spatio-temporal Hawkes processes imposes restrictions on the triggering function that are not well-suited for terrorism data.  ...  Jointly, these two studies demonstrate that our models outperform standard Hawkes process models, besting widely-used alternatives in overall model fit and revealing spatio-temporal patterns that are,  ...  For bivariate analysis in the Nigerian case, we use common spatio-temporal grids for both processes.  ... 
arXiv:2202.12346v1 fatcat:qtamdvuounh2hajk2v4b7j4ac4

Using the intrinsic growth rate of the mosquito population improves spatio-temporal dengue risk estimation

Luigi Sedda, Benjamín M. Taylor, Alvaro E. Eiras, João Trindade Marques, Rod J. Dillon
2020 Acta Tropica  
However, the use of population dynamics measures as predictors in spatio-temporal point processes has not been investigated before.  ...  We used a statistical Moran Curve approach to estimate the intrinsic growth rate and a zero inflated Poisson kriging model for estimating mosquito abundance at locations of dengue cases.  ...  a spatio-temporal Gaussian process and an intercept term, were compared using two information criteria, the WAIC and DIC (Gelman et al., 2014) .  ... 
doi:10.1016/j.actatropica.2020.105519 pmid:32389450 pmcid:PMC7315132 fatcat:cpv7mx5skbetppo7mb623cygpy

Supervised learning on graphs of spatio-temporal similarity in satellite image sequences [article]

Patrick Héas
2007 arXiv   pre-print
Indeed, graphs are attached to statistical models for spatio-temporal processes, which at their turn describe physical changes in the observed scene.  ...  Bayesian methods have been previously proposed in (Heas and Datcu, 2005) to code the information contained in satellite image sequences in a graph representation using Bayesian methods.  ...  Estimation and update of the similarity model parameters After some training T , one can use the MMSE estimator to evaluate the parameter vector Φ of the similarity function.  ... 
arXiv:0709.3013v2 fatcat:c32s4h7fpfbbxfycd6pdnkt3la

Characterizing Dependence of Irish Sitka Spruce Stands Using Spatio-Temporal Sum-Metric Models

Sarah O'Rourke, Máirtín Mac Siúrtáin, Gabrielle Kelly
2016 Forest Science  
Here, different parameters 170 for the variance of each measurement over time were estimated as well as different covariance 171 parameters for each pair of repeated measurements.  ...  The correlation over time also followed a wave 14 variogram while the spatio-temporal anisotropy captured the space-time interaction.  ...  regression kriging. 327 The model which performed best, for each plot, consisted of a wave function for the 328 spatial process, the temporal process and the spatio-temporal process (Equation 9), 329  ... 
doi:10.5849/forsci.15-083 fatcat:2telrvufmbcgdlxyxvulgovhe4

A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations

Yuliya Tarabalka, Guillaume Charpiat
2013 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS  
Experimental results on a set of MODIS measurements over the Northern Australia demonstrated that the new approach succeeded in combining both spatial and temporal information for accurate segmentation  ...  The method consists in rewriting a segmentation problem as a (s, t)-min-cut on the spatio-temporal image graph and computing this minimal cut.  ...  Morton from the NASA GSFC, USA, for providing the MCD64A1 data and for useful discussions about fire mapping.  ... 
doi:10.1109/igarss.2013.6723582 dblp:conf/igarss/TarabalkaC13 fatcat:p567cehnmnctddyvdfo2erobfu
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