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1. Attribute Descriptors.
1.1 Central Tendency.
1.2 Dispersion and Distribution.
1.3 Relationship.
1.4 Trend.
2. Point Descriptors.
2.1 The Nature of Point Features.
2.2 Central Tendency of Point Distributions.
2.3 Dispersion of Point Distributions.
2.4 Application Examples.
2.4.1 References.
3. Pattern Detectors.
3.1 Scale, Extent, and Projection.
3.2 Quadrat Analysis.
3.3 Nearest Neighbor Analysis.
3.4 Spatial Autocorrelation.
3.5 Application Examples.
3.5.1 References.
4. Line Descriptors.
4.1 The Nature of Linear Features.
4.2 Characteristics and Attributes of Linear Features.
4.3 Directional Statistics.
4.4 Network Analysis.
4.5 Application Examples.
4.5.1 References.
5. Pattern Descriptors.
5.1 Spatial Relationships.
5.2 Spatial Autocorrelation.
5.3 Spatial Weights Matrices.
5.4 Types of Spatial Autocorrelation Measures and Some Notations.
5.5 Joint Count Statistics.
5.6 Moran and Geary Indices.
5.7 General G-Statistic.
5.8 Local Spatial Autocorrelation Statistics.
5.9 Moran Scatterplot.
5.10 Application Examples.
5.11 Summary.
5.11.1 References.
Index.
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Jihan Holton
reviewed Statistical analysis with ArcView GIS on January 04, 2014
Statistical analysis with ArcView GIS
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Add Statistical analysis with ArcView GIS, Statistical analysis of geographic data has been greatly enhanced in recent years with the advent of Geographical Information Systems (GIS) software. Yet GIS users have struggles to synchronize their applications of spatial information with practical, qua, Statistical analysis with ArcView GIS to the inventory that you are selling on WonderClubX
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Add Statistical analysis with ArcView GIS, Statistical analysis of geographic data has been greatly enhanced in recent years with the advent of Geographical Information Systems (GIS) software. Yet GIS users have struggles to synchronize their applications of spatial information with practical, qua, Statistical analysis with ArcView GIS to your collection on WonderClub |
