By Noel Cressie and Christopher K. Wikle
A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods
From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models.
Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes.
Topics of coverage include:
- Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs
- Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes
- Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation
- Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data
Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
Wiley‐Blackwell, May 2011
Hardback, 624 pages
Information Sciences: An International Journal, Volume 181 Issue 11, June 2011
Bingli Xu, Hui Lin, Longsang Chiu, Ya Hu, Jun Zhu, Mingyuan Hu, and Weining Cui
“The integration of high dimensional geo-visualization, geo-data management, geo-process modeling and computation, geospatial analysis, and geo-collaboration is a trend in GIScience. The technical platform that matches the trend forms a new framework unlike that of GIS and is conceptualized in this paper as a collaborative virtual geographic environment (CVGE). This paper focuses on two key issues. One is scientific research on CVGE including the concept definition and the conceptual and system framework development. The other is a prototype system development according to CVGE frameworks for air pollution simulation in the Pearl River Delta. The prototype system integrates air pollution source data, air pollution dispersion models, air pollution distribution/dispersion visualization in geographically referenced environments, geospatial analysis, and geo-collaboration. Using the prototype system, participants from geographically distributed locations can join in the shared virtual geographic environment to conduct collaborative simulation of air pollution dispersion. The collaborations supporting this simulation happen on air pollution source editing, air pollution dispersion modeling, geo-visualization of the output of the modeling, and geo-analysis.”
FIG Working Week 2011 Bridging the Gap between Cultures, Marrakech, Morocco, 18-22 May 2011
Saffet ERDOĞAN, M. Ali DERELİ, and Mustafa YALÇIN
“In this study, geographical information systems and explorative spatial data analysis methods were employed in the analyses of five selected crime rates. Because of the differences among the provinces with small populations, and the provinces with large populations regarding volume of crimes make a major impact on the stability of the crime rates, empirical Bayes smoothing method was used to correct the crime rates. Global spatial autocorrelation indices including Moran’s I, Getis-Ord G, and Geary c were used to test the spatial dependence. Local spatial autocorrelation methods were used to detect the clustering of crime rates. The present study demonstrates the utility of spatial analyses for exploring crime levels of the five crime statistics in Turkish provinces.”
Global Health Metrics & Evaluation: Controversies, Innovation, Accountability, 14–16 March 2011
Leslie Mallinger, Ella Sanman, Christopher J L Murray, and Emmanuela Gakidou
“Background: An estimated 4∙2% of all deaths could be prevented simply through access to and the appropriate use of safe water, sanitation, and hygiene facilities. Many of these deaths are caused by diarrhoeal disease, the second biggest contributor to the disease burden in children under 5 years. There is a strong correlation between infant mortality and the proportion of the population without access to improved water sources. However, a complete time series for national access to improved drinking water sources and improved sanitation facilities has yet to be developed. We aimed to create estimates of the proportion of the population with access to an improved drinking water source and an improved sanitation facility, for all countries from 1980 to 2010. We also aimed to quantify the contribution of improvements in access to safe water and sanitation to the reductions in infant and child mortality.
“Methods: Data from over 1000 surveys from 169 countries were used to estimate national access to safe water and sanitation. Source and facility classifications were assigned according to the WHO-UNICEF Joint Monitoring Programme for Water Supply and Sanitation. A variant of spatial-temporal regression was used to develop estimates for country-years without survey data.
“Findings: Although progress is being achieved for both access to safe water and sanitation, access to improved water sources tends to be much higher than access to improved sanitation facilities. The rate of progress varies widely across countries. Preliminary analysis suggests that there is a significant contribution of improved access to water and sanitation to reductions in under-5 mortality across countries.
“Interpretation: Our findings can help to inform policy makers of the areas with the greatest need for interventions aiming to increase access to water and sanitation facilities, and to identify countries where successful scale-ups have occurred. Inequalities across countries in terms of infant and child mortality may be partly attributable to inequalities in access to safe water and sanitation.”
Department to open doors to exploration in geosciences
What & Who
Interested in studying, teaching and preserving the Earth, its resources and environment? Discover educational opportunities and careers in geosciences at Cal State L.A.’s 2011 Geography Career Day and Open House.
Featuring representatives from federal and state government agencies, cities, the Jet Propulsion Laboratory, map makers and other private companies, the event will also offer information about programs in Geographic Information Systems (GIS), remote sensing, and spatial analysis offered by the Department of Geography and Urban Analysis at CSULA. Refreshments will be served.
Thursday, May 26, 2011, 4-7 p.m.
King Hall, room D4044, on the CSULA campus. The University is located at the Eastern Avenue exit, San Bernardino (I-10) freeway, at the interchange of the 10 and 710 freeways. (Campus map and directions: www.calstatela.edu/univ/maps/cslamap.php)
King Hall D4044 is the location of the CSULA’s Map Library, which includes an extensive collection of maps issued by U. S. government agencies. It also houses copies of U.S. Geological Survey topographic maps of 10 western states as well as Defense Mapping Agency (DMA) nautical and aeronautical charts that are referenced for faculty and student research.
Free to the public. For more information, call the CSULA’s Department of Geography and Urban Studies at (323) 343-2220.
[Source: CSULA news release]