Case Studies

Web geoservices and ancient cadastral maps: the Web C.A.R.T.E. project

Session Type: 
Academic Session
Presenter(s): 
Eng Marco Minghini, Politecnico di Milano, Dipartimento di Ingegneria Idraulica, Ambientale, Infrastrutture viarie e Rilevamento (DIIAR), Como Campus
Prof Maria Antonia Brovelli, Politecnico di Milano, Dipartimento di Ingegneria Idraulica, Ambientale, Infrastrutture viarie e Rilevamento (DIIAR), Como Campus

 

Speaker Bio: 

Degree with honors in Physics, PHD in Geodesy. Vice rector of Polytechnic of Milan with responsability for the Como Campus. Professor of GIS and Internet GIS.

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Lifemapper Moves Forward: Bringing Together Geospatial and Biodiversity Informatics Tools to Save the World

Session Type: 
Tech Session
Presenter(s): 
Aimee Stewart, University of Kansas Biodiversity Institute
James Beach

Lifemapper (www.lifemapper.org) is a research project funded by the National Science Foundation bringing together open source geospatial and biodiversity informatics tools to facilitate bio-geographical research, to demonstrate potential climate change effects to school children, and to publicize the utility of museum specimen data. Lifemapper predicts current and future species distributions by combining specimen data from globally distributed natural history museums and climate data from Worldclim (http://www.worldclim.org/) and climate modeling centers working with International Panel on Climate Change (IPCC) scenarios in openModeller (http://openmodeller.sourceforge.net), an open-source modeling framework.

The Lifemapper system has two main components, the frontend and pipeline. The frontend provides data and analysis tools as OGC-compliant web services, through Lifemapper plug-ins to open-source desktop softwares, such as Quantum GIS (QGIS, http://www.qgis.org/) and VisTrails (www.vistrails.org), and through our website. The Lifemapper backend pipeline moves user requests, data, and results between a PostGIS-enhanced PostgreSQL database and a 64-node compute cluster. The pipeline responds to user queries, data and analysis requests and recalculates species distribution maps when inputs are updated. The backend system and client libraries are written in Python; Python libraries for GRASS, R, GDAL/OGR and a variety of other open-source libraries support the underlying analyses.

Speaker Bio: 

Aimee Stewart has degrees from the University of Kansas in Computer Science and Geography. She has worked in the GIS and Remote Sensing fields for the last 13 years, focusing on software development and mapping applications in the Informatics department of the KU Biodiversity Institute since 2001. After her initial seduction by proprietary software, she came to her senses and now uses open source tools whenever possible.

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Advancing global marine biogeography research with open source GIS software and cloud computing

Session Type: 
Academic Session
Presenter(s): 
Mr Jesse Cleary, Duke University
Mr Ei Fujioka

 

Speaker Bio: 

Jesse Cleary is Research Analyst in the Marine Geospatial Ecology lab at Duke University.  He has a diverse GIS background encompassing the geospatial web, spatial analysis, database design, and programming for terrestrial, meteorological, and oceanographic applications.

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On-demand transportation optimization with pgRouting + DARP

Session Type: 
Tech Session
Presenter(s): 
Haruyuki Seki
Daniel Kastl, Georepublic

Public transportation in rural and sparsely populated areas is facing considerable challenges in these years. The regular public transportation is often not economically or environmentally sustainable anymore and therefore it is necessary to develop new ways of public transportation in such areas.
 
We have implemented a Dial-a-Ride Problem (DARP) solver for pgRouting aiming to help build a better and more flexible transportation system. The concept for a public transit management system is based on existing infrastructure such as taxis, buses and micro-buses. Customers send transportation requests containing specified pickup and target locations together with a desired departure and arrival time window. Then DARP solver tries to minimize transportation cost while satisfying customer service level constraints (time windows violation, waiting and travelling times) and fleet constraints (number of cars and capacity, as well as depot location).
 
This presentation is going to give an insight into the latest development of pgRouting, an extension of PostGIS with shortest path search functionality and tools for spatial network analysis. By implementing DARP and other generic algorithms to solve spatial optimization problems, pgRouting can provide the groundwork for fleet management, transportation and logistics applications.

Speaker Bio: 

Daniel Kastl is founder and CEO of Georepublic UG and works in Germany and Japan. He is moderating and promoting the pgRouting community and development. He's an active OSM contributor in Japan and an initial foundation member of the Japanese local chapter.

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HydroLiDAR: A open source GIS towards accessing, visualization and modeling of LiDAR

Session Type: 
Academic Session
Presenter(s): 
Dr Ping Yang, Idaho State University
Dr Daniel Ames

 

With recent improvements in equipment, reductions in costs, and the advent of massive data storage and sharing systems for Light Detection and Ranging (LiDAR) data, the need has increased for open source geographic information systems to support LiDAR point cloud data . This study presents an approach and initial open source GIS tool for accessing, processing, visualizing and modeling LiDAR data. Based on the open source GIS software foundation platform, DotSpatial, a software prototype, HydroLiDAR, has been designed for importing and visualization of LiDAR data in the format of LAS files. Terrain parameters such as slope and aspect are calculated through a point-based algorithm and a visualization scheme will be discussed for 2 dimensional visualization of terrain characteristics. Watershed analysis including stream network delineation modeled directly based on the point cloud through an up-climbing and downhill-decline algorithm will also be presented in this study.

 

Speaker Bio: 

Ping Yang currently is conducting postdoctoral research on Open Source GIS towards LiDAR at Idaho State University, Dr. Yang got his Ph.D. in GIS at Wuhan University, China in June 2009. His research interests include Hydrologic modeling with LiDAR, Multi-resolution geographical representation, Spatio-temporal modeling, etc.

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