Monthly Archives: April 2009

Python & Geoprocessing Workshop this Friday.

This Friday (4/17) between 10:30am – 1pm, EDS will host the new workshop ,”Introduction to Python & Geoprocessing.”  The workshop will be conducted by Sneha Rao from CIESIN.

The two and half hour workshop will give an overview of:
–     What is Geoprocessing?
–        Introduction to Python
–        Basic Data Types
–        Variables
–        Statements, Expressions and Functions
–        File Handling
–        Program Execution
–        Applying Python in Geoprocessing
–        Demo of Model Builder

There will be several examples and short hands-on exercises working with
Python 2.5 and a demo presentation of using scripts in Model Builder included in ESRI ArcMap
software.  Basic knowledge and understanding of GIS is recommended. The workshop is
meant for those without any programming/scripting experience or would like a refresher on
the basics. Register through the GIS Workshops page.

The Geography of Buzz

In case you missed it, we wanted to make a mention of yesterday’s New York Times Article, ‘Mapping the Cultural Buzz: How Cool is That?‘, regarding the study ‘The Geography of Buzz’ that Elizabeth Currid and Sarah Williams, director of Columbia’s Spatial Information Design Lab at GSAAP, presented at last month’s annual meeting of the a Association of American Geographers.  They also provide a few images of some of the cool maps Sarah made for the study.

New Workshop: Digitizing, Georeferencing and Creating New Spatial Layers

This Friday we will be conducting a new GIS workshop in the EDS lab Digitizing, Georeferencing and Creating New Spatial Layers. This will be an ArcMap-centric introduction to creating new spatial data layers from paper and other sources with an emphasis on hands-on exercises in georeferencing and digitizing.  Some familiarity with ArcMap is required. The workshop will be at 10:30-12:30 April 10 in 215 Lehman Library, register through the GIS Workshops page.

HGL’s New Look

The Harvard Geospatial Library has a whole new look and feel, using OpenLayers for the display and navigation map.

Searching and browsing datasets is also much improved, including the updated advanced search option.

A good portion of the 6,500+ records are publicly downloadable which makes this an amazing resource even for non Harvard affiliates.

I’m very impressed with what they’ve put together.