Spatial Decisions as Social Context

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

Christoph Schlieder

“The design of location-based social network services has been mainly driven by access to novel types of data and the opportunities these data offer to improve existing location-based services or to design completely novel ones (see the ACM SIGSPATIAL Workshops on Location-based Social Networks in 2009 and 2010). There is a need for research that advances our understanding of the networks underlying such services. This concerns networks in which social relations are explicitly specified as well as implicit social networks that are defined as networks of people showing similar spatial behaviour or sharing similar spatial interests even though they are not necessarily personally acquainted, for instance, the students of a university or the participants of a frequent flyer program.”

“Map Contacts for SalesForce” Adds Mapping and Routing Capabilities to SalesForce

Map Contacts for SalesForce is a free add-on application to SalesForce. It provides the facility to locate/view the Contacts listed in SalesForce on a map from Esri ArcGIS Online’s Street and Aerial mapping services. It also provides a Trip Planner.


  • Locate SalesForce Contacts on ESRI ArcGIS Online Map
  • Trip Planner finds the best route across contacts
  • Print driving directions with route map

Key Features:

  • View SalesForce Contacts on map lets you…
    View selected SalesForce Contacts on map
    Map contacts with predefined color coded icons on basis of geocoding accuracy
    View the map in Street view / Aerial View
    Print the current map view
  • Trip Planner lets you…
    Find the best route between two contacts
    Find the best sequence to visit multiple contacts/stops and return to origin
    Enter addresses not available in SalesForce Contact to add stops to trip
    Print driving directions with a route map

More information / Download the app

Analysis on Spatial Heterogeneity of H1N1 Flu based on GIS Spatial Analysis Technology

2010 International Conference on Multimedia Technology (ICMT), 29-31 October 2010, pp. 1 – 4

Cao Jian-rong Liu Yan-jun

“The spatial distribution of disease epidemiology has always been the hotspot and difficulty, information technology and GIS technology have been widely applied in epidemiological studies, along with the continuous deepening of the disease spatial analysis development. In this paper taking H1N1 flu as the research object, given that China and Shandong Province, the number of infections and deaths’ data was used in geographic information system software and the statistical software for the spatial analysis. The results showed that: the number of infections and deaths in coastal areas is larger than that in inland multi-region, geographic distribution showed a change distribution trend from south to north and from east to west.”

Making Spatial Analysis Operational: Commands for Generating Spatial-effect Variables in Monadic and Dyadic Data

Stata Journal, 2010, vol. 10, issue 4, pages 585-605

Eric Neumayer and Thomas Plümper

“Spatial dependence exists whenever the expected utility of one unit of analysis is affected by the decisions or behavior made by other units of analysis. Spatial dependence is ubiquitous in social relations and interactions. Yet, there are surprisingly few social science studies accounting for spatial dependence. This holds true for settings in which researchers use monadic data, where the unit of analysis is the individual unit, agent, or actor, and even more true for dyadic data settings, where the unit of analysis is the pair or dyad representing an interaction or a relation between two individual units, agents, or actors. Dyadic data offer more complex ways of modeling spatial-effect variables than do monadic data. The commands described in this article facilitate spatial analysis by providing an easy tool for generating, with one command line, spatial-effect variables for monadic contagion as well as for all possible forms of contagion in dyadic data.”

Pervasive Monitoring—An Intelligent Sensor Pod Approach for Standardised Measurement Infrastructures

Sensors 2010, 10, 11440-11467

Bernd Resch, Manfred Mittlboeck, and Michael Lippautz

“Geo-sensor networks have traditionally been built up in closed monolithic systems, thus limiting trans-domain usage of real-time measurements. This paper presents the technical infrastructure of a standardised embedded sensing device, which has been developed in the course of the Live Geography approach. The sensor pod implements data provision standards of the Sensor Web Enablement initiative, including an event-based alerting mechanism and location-aware Complex Event Processing functionality for detection of threshold transgression and quality assurance. The goal of this research is that the resultant highly flexible sensing architecture will bring sensor network applications one step further towards the realisation of the vision of a “digital skin for planet earth”. The developed infrastructure can potentially have far-reaching impacts on sensor-based monitoring systems through the deployment of ubiquitous and fine-grained sensor networks. This in turn allows for the straight-forward use of live sensor data in existing spatial decision support systems to enable better-informed decision-making.”