The Production of a Multi-Resolution Global Index for Geographic Information Systems

A session at SciPy 2013

Wednesday 26th June, 2013

5:45pm to 6:00pm (CST)

In order to efficiently access geographic information at the pixel level, at a global scale, it is useful to develop an indexing system with nested location information. Considering a 1 sq. km image resolution, the number of global pixels covering land exceeds 200 million. This talk will summarize the steps taken to produce a global multi-resolution raster indexing system using the Geospatial Data Abstraction Library (GDAL) 1.9, and NumPy. The implications of presenting this data to a user community reliant on Microsoft Office technologies will also be discussed.

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Kytt MacManus

Geographic Information Specialist at CIESIN; Adjunct Lecturer at Columbia University SIPA bio from LinkedIn

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Time 5:45pm6:00pm CST

Date Wed 26th June 2013

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