Aug 252016
 

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.

 

 Posted by at 11:27 am
Jul 262016
 

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, stcloud@gmu.edu, 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

 

Jun 202016
 

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.

 Posted by at 12:01 pm
Apr 132016
 

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.

Nov 232015
 
Capture1

University Libraries’ staff demonstrated how to visualize John Snow’s Cholera incidences that occurred in London 1854 in celebrating GIS Day 2015 at Mason.  You can see the project through the  interactive web mapping site: http://mason.gmu.edu/~aaburiza/snowCholeraMap/

We used three different methods to visualize the data to show a relationship between the death locations and the nearest water pump as following:

1) Creating a Spiderweb map-when you click on a water pump, all web lines associated with the death locations to the closest water pump; when you click on a pump, the spider web of the deaths for the clicked pump is also generated.  In addition, when you click on a death incident, a line links to the closest pump. 2) Creating a Veronoi diagram map-a zone of each water pump is drawn such that all water pump are closer to one other. The death locations falling in each zone are then calculated to represent density of a thematic map, and 3) Generating a heat map to show hot spots of the death incidences.

Please  click on each menu bar:  Spiderweb, Veronoi, and Heatmap to enjoy the interactive web mappings of this project.

The system was built using Leaflet, Mapbox, and Turf.js in addition to Bootstrap, JQuery and HTML for the web design.