{"id":88,"date":"2015-11-16T15:45:16","date_gmt":"2015-11-16T22:45:16","guid":{"rendered":"https:\/\/blogs.ubc.ca\/advancedgis\/?page_id=88"},"modified":"2025-01-14T12:37:52","modified_gmt":"2025-01-14T20:37:52","slug":"spatial-modeling-with-gis","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/advancedgis\/schedule\/slides\/spatial-modeling-with-gis\/","title":{"rendered":"Spatial Modeling with GIS"},"content":{"rendered":"

In your textbook you will find an overview of models and a discussion on the various ways that models can be integrated with a GIS. You should consider how the term model<\/em>, as used in the previous notes on Representing Geography<\/em>, is being used in a very different manner here (that is, a data model<\/em> is a statement of how the world looks<\/strong>, while a model<\/em>, as considered here, is an expression of how the world is believed to work<\/strong>). So, one model is like a template<\/em> (i.e., a data model) while the other is an expression of a process<\/em>. There are a variety of models that traditionally have been used (e.g., analog versus digital; static vs dynamic simulation, agent-based, cellular).<\/p>\n

For the purposes of this lecture, and in order to provide some additional background on a methodology that many of you may use in your project, I will concentrate on one important group of spatial modeling methods–multi-criteria methods<\/em>. Although multi-criteria \/ multi-objective decision analysis is a complex topic, you should become familiar with these methods given how useful they are in many situations. As noted above, your textbook provides a broad review of spatial modeling in general. Other forms of modeling include boolean overlay, linear programming , network analysis, agent-based modeling, cellular automata, and spatial interaction modeling.<\/p>\n

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Learning Objectives<\/a><\/h3>
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