The 6th International Congress on Environmental Modelling and Software (01 – 05 July 2012 in Leipzig, Germany) will have a session on Geographic Information Systems and geoprocessing workflows for environmental modeling (Daniel P. Ames, Robert Argent, Susan Cuddy, Nigel W.T. Quinn, and Raul Zurita-Milla).
In September 2000, the 4th International Conference on Integrating GIS and Environmental Modelling (GIS-EM4) was held in Banff, Canada with more than 250 presentations. In the ensuing 12 years no major “GIS for Environmental Modelling” meeting has been held in spite of:
- significant advances in both GIS software and hardware computational capabilities
- advent of a veritable tidal wave of accessible geospatial data sets
- the introduction of an entirely new breed of GIS software (characterized by Google Earth and Google Maps) and the accompanying rise of the so-called “neogeographer”
- the establishment of major geospatial data sharing standards through OGC and related bodies (e.g. WFS, KML) and
- the introduction of a several highly functional free and open source GIS software tools and libraries (e.g. as sponsored by OSGeo).
This session of iEMSs 2012 recognizes all of these advances as well as the natural role of iEMSs in encouraging, promoting, and facilitating continued advancements in the application of GIS software and tools to environmental Modelling. While any novel and interesting studies in the arena of GIS for environmental modelling will be considered for presentation in this session, we are particularly interested in the development and application of geoprocessing workflows, use of free and open source GIS, web-based GIS applications, tightly coupled GIS-based environmental models, GIS-based environmental decision support systems, geospatial data services, geoprocessing semantics, GIS integration technologies, and related topics.
The first step is submitting an abstract (300 words max.) before the 1st of November 2011 In case of approval you will be invited to prepare a six page long full paper, which has to be submitted until 15 February, 2012.
The call for papers:
The GIS sessions (D6):
Courtesy of Armando Guevara comes this gem:
“ESRI Software R&D Team Circa 1985 –these guys wrote the first operational components of Arc Info – which later evolved into Arc GIS. I personally took this picture and then pasted myself on it.”
- Dave Bishop [PIOS and AutoMap]
- Mark Oliver [DG to UNIX porting]
- Glenn Huibregtse [Prime to UNIX porting]
- Peter Aronson [INFO; Database stuff]
- Scott Morehouse [Chief Software Engineer]
- Tony Lupien [Adddress matching; geocoding]
- Bill Moreland [Arcplot; ArcEdit]
- Armando Guevara [Geometric and Topologic processors (clean, build, clip, etc.); TIN; GRID]
Environmental Modelling & Software, Available online 21 June 2011
H.H. Sepulveda, O.E. Artal, and C. Torregrosa
“LiveROMS is a bootable DVD that contains an Linux-based computer operating system which has a complete, functioning version of the ROMS ocean circulation model and an Octave version of ROMSTOOLS. It allows students and scientists to experiment with this ocean numerical model, with just a basic knowledge of Linux.”
ROMS Ocean Model. Photo credit: Pacific Islands Ocean Observing System.
Lecture Notes in Computer Science, 2008, Volume 5072/2008, pp81-95
Norma Serra-Sogas, Patrick O’Hara, Rosaline Canessa, Stefania Bertazzon, and Marina Gavrilova
“In order to identify a model that best predicts spatial patterns it is necessary to first explore the spatial properties of the data that will be included in a predictive model. Exploratory analyses help determine whether or not important statistical assumptions are met, and potentially lead to the definition of spatial patterns that might exist in the data. Here, we present results from exploratory analyses based on detected illegal oil spills by the National Aerial Surveillance Program (NASP) in Canada’s Pacific Region, and marine vessel traffic, the possible source of these oil discharges.
LISA cluster map of surveillance flight counts.
“We identify and describe spatial properties of the oil spills, surveillance flights and marine traffic, to ultimately identify to most suitable predictive model to map areas where these events are more likely to occur.”