Please join the libraries data services staff again in celebrating this year’s GIS day event at Mason. This year’s theme is Big Data and GIS. There will be exciting activities including presentations, demonstrations, and poster sessions hosted by the department of geography and geoinformation. The data services staff will demonstrate resources available for big data and geovisualization. See the detailed schedule at http://infoguides.gmu.edu/gisday/2016 or https://cos.gmu.edu/ggs.
The Big Ten Academic alliance just launched a Geoportal (https://geo.btaa.org) to discover and access geospatial resources (GIS data sets, web services, and digitized historical maps) available for their collection. This is the second geodata discovery project collaboratively developed by academic libraries followed by the Open Geoportal Project (http://data.opengeoportal.org) led by Tuft University.
See the details of this project from here.
is being hosted by George Mason University, Fairfax, VA during July 25-27. This workshop brings the expertise together to discuss and explore challenges and issues related to big data computing, especially spatial temporal cloud computing tools and big data processing service.
GMU data center provides one of the Spatiotemporal Hybrid Cloud Service Centers (http://stcenter.net), the national and international spatiotemporal infrastructure environment built from multiple cloud system including OpenStack, Eucalyptus, and Amazon Web Services powered by Dynamic Computing Cloud.
Anyone who wants to use this service for big data analysis with spatial temporal data, please contact, firstname.lastname@example.org, for more information.
->See more details on the workshop program : http://dasher.cloud.gmu.edu/iwccbd/index.php
->See more on GMU Cloud Service Center: http://cloud.gmu.edu
The libraries has a collection of GIS data layers from Euratlas: Historical Atlas of Europe that depicts the detailed political situation of Europe for each century. You can also use them as a base map of Europe for a particular year. The data collection covers from years: 100, 500, 1000, 1200, 1400, 1600, 1800, and 2000 A.D.
Each data year has two kinds of layers: physical features (mountain, seas and rivers) and political administrative features (states, provinces and major cities). The data is available through the Data Service Lab computers in Fenwick. Access is restricted to GMU Affiliates only.
Please explore this YouTube channel, Tips for GIS, created by Ahmad Aburizaiza, a Ph.D candidate in Geography at Mason. It provides various helpful videos to guide us. Topics include collecting Twitter geodata using CartoDB, creating ArcPy and Python to backup shapefiles, downloading Open Street Map data, getting GeoJson data quickly, and more.