Arts & Sciences Events
This calendar presented by
Arts & Sciences
[PAST EVENT] CGA Visiting Lecture: Dr. Dan Griffith, "Spatial Autocorrelation is Everywhere"
April 22, 2014
6:30pm - 7:30pm
Join the Center for Geospatial Analysis in welcoming Dr. Dan Griffith to campus. A reception at 6:00 pm will precede Dr. Griffith's lecture at 6:30 pm, entitled "Spatial Autocorrelation is Everywhere."
Spatial Autocorrelation is the tendency of similar objects in a map to cluster together or repel each other (e.g., human settlements, economic growth, natural landscape features). Spatial autocorrelation (also referred to as spatial dependence) is a statistical formalization of Waldo Tobler's so-called 'first law of geography' everything is related to everything else, but near things are more related than distant things". This principle more loosely defined (in terms of what is meant by 'related' and 'distant') can help to explain and predict the majority of the spatial patterns found in the world, and has critical implications for any quantitative modeling that uses geographically explicit data. Dr. Griffith illustrates this idea and its applications in various cases and scenarios that include disease spread, voting patterns, invasive plan species, housing prices, computer games, among other examples.
Spatial Autocorrelation is the tendency of similar objects in a map to cluster together or repel each other (e.g., human settlements, economic growth, natural landscape features). Spatial autocorrelation (also referred to as spatial dependence) is a statistical formalization of Waldo Tobler's so-called 'first law of geography' everything is related to everything else, but near things are more related than distant things". This principle more loosely defined (in terms of what is meant by 'related' and 'distant') can help to explain and predict the majority of the spatial patterns found in the world, and has critical implications for any quantitative modeling that uses geographically explicit data. Dr. Griffith illustrates this idea and its applications in various cases and scenarios that include disease spread, voting patterns, invasive plan species, housing prices, computer games, among other examples.
Contact
[[mmmillones, Marco Millones]]