STATISTICS FOR SPATIO-TEMPORAL DATA

Academic year 2016/2017 Syllabus of previous years
Official course title STATISTICS FOR SPATIO-TEMPORAL DATA
Course code CM0477 (AF:230404 AR:114638)
Modality Frontal Lesson
ECTS credits 6
Degree level Master's Degree Programme (DM270)
Educational sector code SECS-S/01
Period 2nd Semester
Course year 1
Where VENEZIA
Course objectives
This is a undergraduate-level topic course in spatio-temporal modeling, emphasizing data techniques for the analysis of temporal, spatial and spatio-temporal data sets. Topics covered in the course will include linear time-series models, geostatistical models and spatial prediction, lattice models, spatio-temporal processes, computational and statistical tradeoffs, software for temporal/spatial and spatio-temporal statistics.
Pre-requirements
Probability and Mathematical Statistics
Contents
Conditional Probabilities And Hierarchical Modeling
Graphical Representations Of Statistical Dependencies
Basic Time Series Models
Hierarchical Modeling Of Time Series
Geostatistical Processes
Lattice Processes
Exploratory Methods For Spatio-Temporal Data
Spatio-Temporal Statistical Models
Referral texts
Cressie, N.A.C, Wikle, C.K. (2011) Statistics for Spatio-Temporal Data. Wiley, New York
Type of exam
oral
Teaching methods
Part of the lessons will be taught in the computer lab through the R, a free software environment for statistical computing and graphics (www.r-project.org).

F
Teaching language
English
Other
Fnal examination will consist of two steps:
1) preparation of an individual report regarding the analysis of an assigned dataset or a critical reading of two articles
2) oral illustration of the report.
Sustainability
  • Course with sustainable contents
  • University credits of sustainability: 3
  • Lecture notes, material for reference or for self-assessment available online or as e-book
  • Use of open-source software
Last update of the programme
01/03/2016