Category Archives: News

NextGen Brings More Aircraft Noise to SoCal

Posted on by
Reply

The Next-Generation Air Transportation System (NextGen) will most likely bring more aircraft noise to Southern California.  Residents of Mar Vista, Culver City, Santa Monica, and Pacific Palisades already are noticing jets flying in and out at lower altitudes and more often.  This is because the NextGen system uses satellites instead of air traffic controllers for precision separation of aircraft, allowing them to fly at lower altitudes and much closer together for landings and departures.  Continue reading →

New GIS Book Call For Chapters

Posted on by
Reply

Dear Colleagues,

We would like to invite you to submit a chapter for the book “Volunteered Geographic Information and the Future of Geospatial Data”, scheduled for release in 2017.

For further information, please visit http://www.igi-global.com/publish/call-for-papers/call-details/1945 .

Submission proposal deadline: May 14, 2016 (1-page proposal).

Please kindly help circulate this call among your colleagues and students who may be interested.

Dr. Claudio Campelo, UFCG, Brazil
Dr. Michela Bertolotto, UCD, Ireland
Dr. Padraig Corcoran, Cardiff University, UK

(Editors)

Free ArcGIS Online Spatial Analysis Course

Posted on by
Reply

Learn what spatial analysis can do for you with a free online course from ESRI.  The course is for people who know something about spatial analysis and want to learn what ArcGIS Online has to offer.  You will get free access to the full analytical capabilities of ArcGIS Online during the course:

  • Hands-on exercises, short video lectures, quizzes, case studies, and discussion
  • Six weeks, two to three hours of study per week
  • Certificate of completion and awards
  • Course dates: May 11 – June 22, 2016

Sign up today!

Python Library for Standardizing US Addresses

Posted on by
1

There is a very nice Python library that you can use to parse and standardize your addresses for geocoding.  Use it to clean up your messy address data.

65c6ae62-0545-11e5-8b65-5d9e71dface5

For more info and to download, visit https://github.com/datamade/usaddress.

To try it out live, visit https://parserator.datamade.us/usaddress.

For Python Nerds: The library utilizes a probabilistic, rather than rule-based approach to parse the data.  This means you can customize and build the library with your own training data if need be.