This site contains information on the research and teaching activities by Dr R E Sieber and her team at McGill University.

Rural QC research on the Geoweb


Really pleased to see another article from our great research in rural Quebec

Peter A Johnson, Renee E Sieber. The Geoweb for community-based organizations: Tool development, implementation, and sustainability in an era of Google Maps. Community Informatics 13,1: 92-108.

Abstract: Recent advances in web-based geospatial tools (the Geoweb) show promise as low-cost and easy-to-use methods to support citizen participation. This research presents two case studies of Geoweb implementation set in community-based organizations in rural Quebec, Canada. When comparing the development and sustainability of each Geoweb tool, the implementation time frame plays a key role. Two implementation time frames are defined; a discrete, or ‘one-off’ time frame associated with lower resource requirements, and a continuous, or ongoing time frame, that has a higher total resource cost, but can fulfill a different set of goals than a discrete implementation.


We're at AAG in Boston

It was a busy year at AAG for yours truly and members of the lab

April 5, Chair

Session on Open Data

GEOG 506, Advanced Geographic Information Science Projects for 2015


Welcome to another year of GEOG 506 projects, ranging from Smart Cities to geospatial ontologies for agriculture. This year we had eleven. Here are the abstracts, with names, (GIScience field) and Project Title

Beedell (Drones): Drones in GIScience

Jin presents at AGU

Jin Xing presents at the American Geophysical Union:

Multi-Scale Change Detection Research of Remotely Sensed Big Data in CyberGIS

Jin Xing and Renee Sieber

Big remotely sensed data, the heterogeneity of satellite platforms and file formats along with increasing volumes and velocities, offers new types of analyses. This makes big remotely sensed data a good candidate for CyberGIS, the aim of which is to enable knowledge discovery of big data in the cloud. We apply CyberGIS to feature-based multi-scale land use/cover change (LUCC) detection. There have been attempts to do multi-scale LUCC. However, studies were done with small data and could not consider the mismatch between multi-scale analysis and computational scale. They have yet to consider the possibilities for scalar research across numerous temporal and spatial scales afforded by big data, especially if we want to advance beyond pixel-based analysis and also reduce preprocessing requirements.

Sieber @ U of M (virtually)


Gave a talk on Open Source GIS & Web Mapping PPGIS & Volunteered Geographic Information in Rob Goodspeed's course in the Taubman College of Architecture and Urban Planning, University of Michigan.


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