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Map of Life
Last modified: 2011-09-12
Abstract
Map of Life seeks to bring together a wide variety of mapped resources (species range maps, checklist data, species occurrence data, ecoregion maps, human impact maps, environmental layers, etc.) for the exploration of the distributions of species on earth.
In this computer demo, we will show how the Map of Life uses a hybrid architecture to ensure performance while keeping costs low, and also how it integrates several different data types and sources together in a single mapping interface. We will also introduce a new work flow for adding layers to the system using Python, Git, Google Fusion Tables, and Chef. We will demonstrate a very early prototype that supports querying and displaying a large numbers of occurrence data points from multiple sources (GBIF, VertNet) on a single map. The technique uses a custom tiling service running entirely on a Google App Engine backend, which maximizes performance and scaling.
https://github.com/andrewxhill/MOL
In this computer demo, we will show how the Map of Life uses a hybrid architecture to ensure performance while keeping costs low, and also how it integrates several different data types and sources together in a single mapping interface. We will also introduce a new work flow for adding layers to the system using Python, Git, Google Fusion Tables, and Chef. We will demonstrate a very early prototype that supports querying and displaying a large numbers of occurrence data points from multiple sources (GBIF, VertNet) on a single map. The technique uses a custom tiling service running entirely on a Google App Engine backend, which maximizes performance and scaling.
https://github.com/andrewxhill/MOL