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Spatial Statistics with ArcGIS 9.3

This specialist online ArcGIS course focuses on the detailed use and interpretation of the various spatial statistical tools. The course explains how to use the tool, but crucially, guides users on how to interpret the tools' results to aid your analysis. The types of analysis covered includes hot spot analysis and clustering analysis. This is an advanced course for experienced users.

This is a licenced course for registered users.
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Course Sections

Section 1 : Standard Statistics, Summarizing & Classification Methods
Field & Layer Statistics, Summary Tables, Summary Statistics tool, Symbolising Quantities, Classification Methods explained, Quantities Customisation, Label Customisation for Symbology, Unique Values Symbology, Unique Values, Many Fields
Section 2 : Spatial Analysis Tools: Spatial Joins
Spatial Join vs. Select by Location, Point in Polygon Analysis, Polygons Containing Points, Proximity Analysis, Other Spatial Relationships
Section 3 : Spatial Analysis Tools: Spatial Relationships
Select by Location, Selection Build Methods, Spatial Relationships: Intersect, Are Within a Distance of, Completely Contain, Are Completely Within, Have their Centroid in, Share a Line Segment with, Touch the Boundary of, Are Identical to, Are Crossed by the Outline of, Contain, Are Contained by, Clip Tool, Clementini Variations, contain (Clementini), are within (Clementini)
Section 4 : Spatial Analysis Tools: Proximity Analysis
The Buffer Tool, Defining Buffer Distance, Dissolving Buffers, Multiple Ring Buffers – Points, Lines, Managing Multiple Polygon Ring Buffers, Outside Polygons Only option
Section 5 : Spatial Analysis Tools: Geoprocessing
Geoprocessing Options, Results Management, Command Line Window, Geoprocessing Log & History Model, Dissolve, Unsplit Lines option, Merge, Clip, Intersect, Union
Section 6 : Spatial Statistics Tools: Rendering & Utilities
Rendering Toolset, Cluster/Outlier Analysis with Rendering, Collect Events, Collect Events with Rendering, Count Rendering, Hot Spot Analysis with Rendering, Z Score Rendering, Utilities Toolset, Calculate Areas, Calculate Distance Band from Neighbour Count, Collect Events, Convert Spatial Weights Matrix to Table, Export Feature Attribute to ASCII
Section 7 : Spatial Statistics Tools: Mapping Clusters
Anselin Local Morans I Analysis Explained, Cluster and Outlier Analysis Implementation, Cluster and Outlier Analysis Tools, Normal Standard Distribution, Index Value Interpretation, Z Score Interpretation, Z Score Visualisation, COType Interpretation, P-Value Interpretation (Confidence Levels), Conceptualisation of Spatial Relationships, Distance Methods, Standardisation, Standardised Scores (use and calculation), Scatter Graph Implementation to Aid Interpretation, Categorisation of Results, Visualising Results, Threshold Distance, Weights MatrixGetis-Ord GI* Analysis Explained, Hot Spot Analysis Implementation, Hot Spot Tools, G-Statistic Interpretation, Hot Spot Analysis with Rendering, Visualisation of Results, Getis-Ord Tool Options Explained, Self-Potential Field
Section 8 : Spatial Statistics Tools: Analyzing Patterns
Analyzing Patterns Toolset, Average Nearest Neighbour, Spatial Autocorrelation, High/Low Clustering, Tool Usage and Examples, Pattern Tools Summary & Comparison, Multi-Distance Cluster Tool, Confidence Envelope, Result Interpretation (k values)
Section 9 : Spatial Statistics Tools: Measuring Geographic Distributions
Measuring Geographic Distributions, Central Feature, Use of Weighting, Mean Center, Standard Distance, Directional Distribution, Linear Directional Mean, Tool Usage & Examples
Section 10 : Spatial Analyst Extension: Spatial Interpolation
The Spatial Analyst Extension, Surface Interpolation, Inverse Distance Weighted Interpolation, Variable & Fixed Radius, Interpolation Barrier, Spline Interpolation, Kriging: Ordinary and Universal Methods, Trend Interpolator, Contour Layers, Interactive Contours, Slope Calculation, Hillshading, Visualisation

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