Spatial modeling
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Spatial modeling is an analysis methodology; it produces information based on spatial relationships of geographic features. One of the key elements of spatial modeling is the ability to predict or forecast the condition of a geographic area based on certain spatial criteria/relationships.
One of the classic examples of this methodology is the current spatial data usage between an invasive plant species and prediction on areas of potential invasiveness which is based on known attributes or common features to current known information (e.g., soil requirements, preferred elevation or moisture, etc).
The Process
Spatial Modeling refers to the process of using spatial characteristics of a single or multiple variables as key attributes in the analytical process. [1] Such processes can reveal spatial patterns, relationships, area, location, as well as other potentially important findings that may have otherwise gone unnoticed. This type of analysis provides valuable insight to decision makers in various industries, making spatial modeling a valuable analytical tool. [2] Advanced computer software is making spatial modeling easier and less costly which creates a demand for reliable data and data gathering techniques.
Spatial Modeling Process includes:
1) Obtaining the needed data.
2) Exploring and analyzing the data.
3) Developing, presenting, or modeling your findings, theories, or hypothesis.
See Also
GIS Glossary - Spatial Modeling
References
- ↑ Fotheringham, Steward A., Wegener, Michael. Spatial Models and GIS: New Potential and New Models. European Science Foundation (2000).
- ↑ Maquire, David J., Goodchild, Micael F., Batty, Michael. GIS Spatial Analysis, and Modeling. New York: ESRI Press, 2005.
Smith, Michael J, et al. (2011) Geospatial Analysis: A Comprehensive Guide to Principles Techniques and Software Tools
