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{ "category": "SciPy 2013", "language": "English", "slug": "the-production-of-a-multi-resolution-global-index-", "speakers": [], "tags": [ "Tech" ], "id": 1985, "state": 1, "title": "The Production of a Multi-Resolution Global Index for GIS; SciPy 2013 Presentation", "summary": "The Production of a Multi-Resolution Global Index for Geographic Information Systems\n\nAuthors: MacManus, Kytt, Columbia University CIESIN\n\nTrack: GIS - Geospatial Data Analysis\n\nIn 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.", "description": "", "quality_notes": "", "copyright_text": "", "embed": "<object width=\"640\" height=\"390\"><param name=\"movie\" value=\";hl=en_US\"></param><param name=\"allowFullScreen\" value=\"true\"></param><param name=\"allowscriptaccess\" value=\"always\"></param><embed src=\";hl=en_US\" type=\"application/x-shockwave-flash\" width=\"640\" height=\"390\" allowscriptaccess=\"always\" allowfullscreen=\"true\"></embed></object>", "thumbnail_url": "", "duration": null, "video_ogv_length": null, "video_ogv_url": null, "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": null, "video_mp4_download_only": false, "video_webm_length": null, "video_webm_url": null, "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": null, "video_flv_download_only": false, "source_url": "", "whiteboard": "needs editing", "recorded": "2013-07-01", "added": "2013-07-04T10:08:34", "updated": "2014-04-08T20:28:26.451" }