|
Provided by: Boston University Corporate Education Center Spatial Analysis Using GISUnfiled |
 |
Course description
The power of a GIS lies in its ability to analyze spatial relationships. Such analysis can significantly enlighten the decisionmaking process. This course covers the most prominent forms of spatial analysis in both the Vector and Raster data models. Students engage in extensive computer exercises to explore tools and techniques for analyzing spatial data. Special emphasis is placed on the appropriate use of different analytical techniques and data quality and error considerations when performing analysis in a GIS.
Who should attend
This course is for professionals using GIS or newly introduced to the technology that are advancing their understanding of spatial analysis. Proficiency with ESRI's ArcGIS is required.
Prerequisites
GIS102 Introduction to GIS Software: ESRI ArcGIS 9.x
What you will achieve
- Understanding the principles of spatial phenomena that permit spatial analysis
- Being aware of basic statistics and spatial statistics
- Knowing the basic categories of spatial analysis and how they apply to spatial data
- Knowing the conceptual process for determining appropriate GIS analysis operations
- Being able to convert specific project criteria into GIS analysis steps
- Knowing the geoprocessing tools in ArcGIS and be able to develop and run geoprocessor models
- Understanding some basic raster analysis operations and the operation of the Spatial Analyst extension to ArcGIS
What you will learn
- Introduction to Spatial Analysis
- Geographic principles
- Spatial statistics
- Spatial Relationships
- Types of spatial analysis
- Geometric analysis
- Coincidence analysis
- Proximity analysis
- Converting relationships into GIS operations
- Geometric Networks
- Geoprocessor modeling
- Basic raster analysis and modeling
- Basic surface analysis and modeling
|
|
||||||||||
