SEAMONSTER: A Demonstration Sensor Web Operating in Virtual Globes

Computers & Geosciences, Volume 37, Issue 1, January 2011, Pages 93-99

M.J. Heavnera, D.R. Fatlandb, E. Hooda, and C. Connor

“A sensor web is a collection of heterogeneous sensors which autonomously reacts to the observed environment. The SouthEast Alaska MOnitoring Network for Science, Technology, Education, and Research (SEAMONSTER) project has implemented a sensor web in partially glaciated watersheds near Juneau, Alaska, on the edge of the Juneau Icefield. By coupling the SEAMONSTER sensor web with digital earth technologies the scientific utility, education and public outreach efforts, and sensor web management of the project all greatly benefit. This paper describes the scientific motivation for a sensor web, the technology developed to implement the sensor web, the software developed to couple the sensor web with digital earth technologies, and demonstrates the SEAMONSTER sensor web in a digital earth framework.”

Esri and the Society for Conservation GIS Announce the International Conservation Mapping Competition

Created in association with Esri and the Society for Conservation GIS (SCGIS) to bring special recognition to those involved in conservation initiatives, the International Conservation Mapping Competition is open to all nonprofit conservation groups and the individuals who support them. A total of $10,000 in prize money will be awarded.  Entries must be received by March 15, 2011.

Geographical Variability as a Determinant of Large-scale Network Structure

Spatio-Temporal Constraints on Social Networks Workshop, University of California, Santa Barbara, Center for Spatial Studies, 13-14 December 2010

Carter T. Butts

“It is a well-established result that the marginal probability of a social tie between two persons declines with geographical distance for a wide range of social relations (see, e.g., Bossard, 1932; Zipf, 1949; Festinger et al., 1950; Hagerstrand, 1967; Freeman et al., 1988; Latane et al., 1995; McPherson et al., 2001). While often regarded as a mere curiosity, others have argued that this relationship is a critical determinant of social structure (Mayhew, 1984). Indeed, Butts (2003) has shown that under fairly weak conditions, spatial structure is adequate to account for the vast majority of network structure (in terms of total entropy) at large geographical scales.”

Spatial Analysis of Preterm Birth Demonstrates Opportunities for Targeted Intervention

Maternal and Child Health Journal, Published Online 05 February 2011

Andrew P. South, David E. Jones, Eric S. Hall, Shuyon Huo, Jareen Meinzen-Derr, Lin Liu and James M. Greenberg

“To develop a specific, targeted intervention strategy for reducing preterm birth through use of geographic analysis. We utilized Hamilton County, Ohio vital records and Census data from 2003 to 2006. Spatial scanning statistics allowed determination of the prevalence of preterm birth for any geographical point. Attributable risk calculations demonstrated heterogeneity of risk factors within areas of high or low preterm birth prevalence. Three geographically separate areas with high preterm birth proportions (>16%) had differing primary risk factors for preterm birth, including short interpregnancy interval, previous preterm birth, and low prepregnancy weight, despite similarities in demographics and physical location. Primary risk factors also differed when comparing areas with high and low preterm birth proportions, with diabetes and smoking having primary associations in the lower risk areas. Each local region of high preterm birth proportion as well as those with average or low proportion displayed distinct hierarchies of attributable risk. The heterogeneous distribution of preterm birth proportion within an urban county is complex and requires location specific analysis to develop targeted interventions.”