Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08 - Aufgabe 1 - Spatial Analysis: Difference between revisions

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[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
[[Image:Gruppe08spatial.jpg|right|thumb|250px|An example of spatial analysis, 1990]]
= Definition =
= Quotation =
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[http://www.mcaggis.com/Glossary.html#S MCAG GIS - Glossary of GIS Terms]}}
{{Quotation|The process of modeling, examining, and interpreting model results. '''Spatial analysis''' is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.|[http://www.mcaggis.com/Glossary.html#S MCAG GIS - Glossary of GIS Terms]}}



Revision as of 00:22, 9 November 2007

An example of spatial analysis, 1990

Quotation

The process of modeling, examining, and interpreting model results. Spatial analysis is useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.


Description

Spatial analysis is the process creating visual images or models from data to help understand or interpret that data. The data has to refer to a phenomena distributed in some form of space, this could for example be data relating to physical locations on a map. It is therefore frequently used as a tool for statistical and geographical purposes, such as to create predictions or evaluating the suitibility of a particular location for a purpose.


Examples

A typical approch to get new information from existant data using spatial analysis is to find patterns and correlations in the data by mapping them with their geographic location. The example below illustrates this. The first illustration shows a table of earthquake data. By visualising this data one can better understand it (see figure 2) but one can gain even more useful knowledge with spatial analysis, for example by filtering out the smaller earthquakes and then combining the larger earthquakes (see figure 3).


References

http://www.mcaggis.com/Glossary.html#S http://www.pcmag.com/encyclopedia_term/0,2542,t=spatial+analysis&i=51802,00.asp http://www.esri.com/news/arcuser/1003/files/sa101.pdf