Statistics for Spatio-Temporal Data by Noel Cressie, Christopher K. Wikle

Statistics for Spatio-Temporal Data Noel Cressie, Christopher K. Wikle ebook
Page: 624
Publisher: Wiley
Format: epub
ISBN: 0471692743, 9780471692744

In this field, current research progresses focus on analyzing traffic flows of individual links or local Our aim is precisely to propose a new methodology for extracting spatio-temporal traffic patterns, ultimately for modeling large-scale traffic dynamics, and long-term traffic forecasting. My main focus of research is in mathematical statistics and applied probability, particularly in relation to spatial data sets and computational problems as covered in the research areas known as spatial statistics, stochastic geometry, simulation- based inference, Markov chain Monte Carlo methods, and perfect simulation. Job Duties (i) Develop and validate multivariate statistical models of spatiotemporal renewable energy fields, based on data sets of disparate spatiotemporal resolution and extent. Spatial Statistics 2013: Revealing intricacies in spatial and spatio-temporal data with statistics. The postdoctoral fellow will develop and implement cutting-edge statistical methodologies with the goal of improving the analysis of high-dimensional spatio-temporal survey data. In regard to these works, there is the increasing use of GIS combined with spatial statistics, which is a documented pattern throughout the social sciences (Goodchild and Janelle, 2004). Abstract: Statistical traffic data analysis is a hot topic in traffic management and control. Thesis Most of my recent books and papers deal with statistical inference and computational methods for spatial and spatio-temporal point processes. Here we introduce a novel approach to aggregating, and . Pertinent to the current examination, we are interested in the ability to link publicly available crime data and tracking the 'mobility' of this data over a given period of time. The postdoctoral fellow will develop and implement innovative statistical methodologies intended to improve the analysis of high-dimensional spatio-temporal survey data. It's About Space and Time: From the Modifiable Areal Unit Problem (MAUP) to the Modifiable Temporal Unit Problem (MTUP) to the Modifiable Spatio-Temporal Unit Problem (MSTUP) many facets of space-time dynamics, from semantics and ontology (how we think about the system), to representation of space-time objects and space-time fields (how they move, morph and change) to the statistical and mathematical modeling of time-dynamic geographic systems.