Now showing items 1-6 of 6
Improving exposure assessment in environmental epidemiology: Application of spatio-temporal visualization tools
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2005-05)
A thorough assessment of human exposure to environmental agents should incorporate mobility patterns and temporal changes in human behaviors and concentrations of contaminants; yet the temporal dimension is often ...
Seamless integration of spatial statistics and GIS: The S-PLUS for ArcView and the S+ Grassland Links
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2000-09)
The extension of the functional capacity of geographic information systems (GIS) with tools for statistical analysis in general and exploratory spatial data analysis (ESDA) in particular has been an increasingly active ...
Spatio-temporal pattern of viral meningitis in Michigan, 1993-2001
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2005-05)
To characterize Michigan’s high viral meningitis incidence rates, 8,803 cases from 1993–2001 were analyzed for standard epidemiological indices, geographic distribution, and spatio-temporal clusters. Blacks and infants ...
Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2002-03)
Many infectious diseases that are emerging or transmitted by arthropod vectors have a strong link to landscape features. Depending on the source of infection or ecology of the transmitting vector, micro-habitat characteristics ...
Spatial process and data models: Toward integration of agent-based models and GIS
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2005-05)
The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how ...
Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2002-03)
This paper presents a methodology to incorporate both hyperspectral properties and spatial coordinates of pixels in maximum likelihood classification. Indicator kriging of ground data is used to estimate, for each pixel, ...