ISW-2011: Integrating Sensor Web and Web-based Geoprocessing, An AGILE 2011 Conference Workshop; Utrecht, The Netherlands, April 18, 2011
Karthikeyan Bollu Ganesh and Patrick Maue
“Environmental data and models are uncertain by nature. The lack of knowledge about, for example, the magnitude of potential measurement errors may lead to unforeseen consequences. This makes it diffcult to assess the data’s or model’s usefulness for critical applications. We present an approach for the visualization of uncertainty coming from in-situ environmental sensors. The visualization component is part of a Web-enabled environmental modelling platform which also supports the specication of processing workflows. The concept of uncertainty and means for its encoding as part of the environmental data are introduced. The individual components in the processing workflows propagate and update the uncertainty information.We also explain how the uncertainty in the original sensor data has been identied, and how the visualization component has been implemented.”
Applied Geography, Volume 31, Issue 3, July 2011, Pages 1010-1018
Anzhelika Antipova, Fahui Wang, Chester Wilmot
“Studies on the interrelationship between land use and travel behavior are often at some aggregate geographic unit such as the census tract, traffic analysis zone (TAZ), or the zip code level, and results have been inconclusive. This paper uses a multi-level modeling approach to examine the combined effects of land use types and socio-demographics (including both individual and neighborhood attributes) on commuting. Data used in this research include the Baton Rouge Personal Transportation Survey (BRPTS) of individual households and the Census Transportation Planning Package (CTPP) at the TAZ level. Land uses include agricultural, commercial/office and residential of various densities. A localized job-housing balance ratio is computed to measure job accessibility and also to capture the degree of mixed land uses around each residential location, and its effect on commuting behavior is examined. Commuting is measured by both travel distance and time in order to capture the spatial separation of residence and workplace as well as road conditions. The results indicate that land use types are significant in explaining commuting time, and socio-demographic characteristics of both individuals and neighborhoods play an important role in shaping individuals’ commuting behavior.
- This paper uses a multilevel modeling approach to explain individual commuting.
- odels examine the combined effects of land use and socio-demographics of individuals and neighborhoods.
- Land use measures include land use types, proximity to a high-performing school and job-housing balance.
- Individual attributes include gender, race, income, education, presence of children, job status, and multi-worker household.
- 14 neighborhood socio-demographic variables are consolidated into factors.”
Lecture Notes in Geoinformation and Cartography, 2011, Advances in 3D Geo-Information Sciences, Pages 211-225
Ruben de Laat and Léon van Berlo
“There is a growing interest in the integration of BIM and GIS. However, most of the research is focused on importing BIM data in GIS applications and vice versa. Real integration of BIM and GIS is using the strong parts of the GIS technology in BIM, and of course the strong parts from BIM technology in GIS. In this paper a mix of strong parts from both worlds is integrated in a single project. The paper describes the development of a CityGML extension called GeoBIM to get semantic IFC data into a GIS context. The conversion of IFC to CityGML (including the GeoBIM extension) is implemented in the open source Building Information Modelserver.”
Helgoland Marine Research, Online 29 January 2011
Jorge Paramo and Ulrich Saint-Paul
“Crustaceans of the genus Metanephrops are of great commercial value in some tropical and subtropical regions. With the potential development of a new deep lobster fishery in the Colombian Caribbean Sea, the objective of this work is to describe for first time the patterns of spatial and bathymetric distribution, and diel migratory periodicity of the Caribbean lobster (M. binghami). Data were collected by trawling in depths between 200 and 550 m (100 m strata intervals) in the Colombian Caribbean Sea. Higher biomass and size of these crustaceans were found between 250 and 350 m, with a maximum at about 300 m. The study offers diel patterns of M. binghami, which suggests nocturnal activity and burrowing during daylight hours. ”