Automatic Detection and Spatio-temporal Analysis of Commercial Accumulations Using Digital Yellow Page Data

World Academy of Science, Engineering and Technology 66 2010

Yuki Akiyama, Hiroaki Sengoku, and Ryosuke Shibasaki

“In this study, the locations and areas of commercial accumulations were detected by using digital yellow page data. An original buffering method that can accurately create polygons of commercial accumulations is proposed in this paper.; by using this method, distribution of commercial accumulations can be easily created and monitored over a wide area. The locations, areas, and time-series changes of commercial accumulations in the South Kanto region can be monitored by integrating polygons of commercial accumulations with the time-series data of digital yellow page data. The circumstances of commercial accumulations were shown to vary according to areas, that is, highly- urbanized regions such as the city center of Tokyo and prefectural capitals, suburban areas near large cities, and suburban and rural areas.”

Call for Papers: Integrating Sensor-Web and Web-based Geoprocessing

A workshop at AGILE 2011 conference, 18th April 2011, in Utrecht, the Netherlands.

The ISW workshop seeks for research presentations on the cross-road of Sensor Web and Geoprocessing.

Geoprocessing is the application of functionality representing real-world processes (e.g. hydrological runoff models) or processing of geodata (e.g. generalization, (coordinate) transformation). Providing these models and functionality on the web is a relevant topic in research and industry, as it allows users to generate web-based information to support decisionmaking. The Sensor Web enables discovery and tasking of sensors as well as interoperable access to their gathered data through common interfaces over the Web. Web-based geoprocessing can use data published through the Sensor Web as inputs to realize live decision support. Such integration of the two technologies is an evolving field of research. Related applications are for example environmental monitoring (e.g. air quality, noise, water quality), health monitoring and risk management (e.g. forest fire).

The ISW workshop aims at research on this cross-road of Sensor Web and Geoprocessing. In particular, this workshop aims at the following joined aspects:

  • (Event-based) processing of sensor data streams
  • Uncertainty in Geoprocessing workflows and sensor data streams
  • Distributed Geoprocessing workflows
  • Sensors, Geoprocessing and Cloud Computing
  • Self-describing sensors and processes
  • Concepts for integrating sensors and processing
  • Linked data approaches for sensors and processes
  • Applications for processing sensor data

The ISW workshop will be held as full-day event. Participants are asked to submit extended abstracts (max. 1500 words) in advance, which will be reviewed and selected based on scientific quality and relevance regarding the topic of the workshop by a scientific committee. The extended abstracts will be published as workshop proceedings (with ISBN). The participants are invited to submit full papers based on the extended abstracts as part of a special issue of the workshop at a scientific journal.

Important dates Deadline extended abstracts (max. 1500 words): 28.02.2011 Notification of acceptance: 22.03.2011 Camera-ready version: 10.04.2011 Workshop date: 18.04.2011.

Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Chachoengsao Province, Thailand

International Journal of Environmental Research and Public Health 2011, 8(1), 51-74

Phaisarn Jeefoo, Nitin Kumar Tripathi, and Marc Souris

“In recent years, dengue has become a major international public health concern. In Thailand it is also an important concern as several dengue outbreaks were reported in last decade. This paper presents a GIS approach to analyze the spatial and temporal dynamics of dengue epidemics. The major objective of this study was to examine spatial diffusion patterns and hotspot identification for reported dengue cases. Geospatial diffusion pattern of the 2007 dengue outbreak was investigated. Map of daily cases was generated for the 153 days of the outbreak. Epidemiological data from Chachoengsao province, Thailand (reported dengue cases for the years 1999–2007) was used for this study. To analyze the dynamic space-time pattern of dengue outbreaks, all cases were positioned in space at a village level. After a general statistical analysis (by gender and age group), data was subsequently analyzed for temporal patterns and correlation with climatic data (especially rainfall), spatial patterns and cluster analysis, and spatio-temporal patterns of hotspots during epidemics. The results revealed spatial diffusion patterns during the years 1999–2007 representing spatially clustered patterns with significant differences by village. Villages on the urban fringe reported higher incidences. The space and time of the cases showed outbreak movement and spread patterns that could be related to entomologic and epidemiologic factors. The hotspots showed the spatial trend of dengue diffusion. This study presents useful information related to the dengue outbreak patterns in space and time and may help public health departments to plan strategies to control the spread of disease. The methodology is general for space-time analysis and can be applied for other infectious diseases as well.”

Responsive Social Networks

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

Mike Worboys

“The research idea presented here contributes to the effort to make social and other kinds of networks more responsive to events happening in geographic space. Consider the scenario of a wild-fire developing in a populated region, where neighbors begin to communicate with each other using cell phones and social networking software such as Facebook. As the fire develops and moves, traditional central and hierarchical means of communication and control break down, but others need to be alerted. The network of communications between neighbors needs to develop in parallel with the development of the fire, so that information is shared and appropriate actions are taken. There may also be the need for some time-critical, collaborative activities, such as the creation of a dynamic map, so that the entire group can see the boundaries and properties of the fire as it develops. All these activities will be facilitated by the development of a network of communications that is responsive to changing needs. The development of such a model is the focus of this research.”