Main Page > M.Sc GIS Morning > Spatial Analysis
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Spatial Analysis
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1. Geographic information analysis and spatial data 1.1 Introduction 1.2 Spatial data type 1.3 Potentials of spatial data 1.4 Geographic Analysis and Cartographic Modeling 2. Point pattern analysis 2.1 Introduction 2.2 Describe point pattern 2.3 Assessing point pattern statistically 2.4 Practical point pattern analysis 3. Lines and networks 3.1 Introduction 3.2 Representing and storing linear enteritis 3.3 Network analysis 4. Area objects and spatial autocorrelation 4.1 Introduction 4.2 Types of area objects 4.3 Geometric properties of areas 4.4 Boundary Analysis 4.5 Buffering and neighborhood function 4.6 Proximity Analysis 4.7 Neighborhood Function/Analysis 5. Describing and analyzing fields 5.1 Introduction 5.2 Modeling and storing field data 5.3 Spatial interpolation 5.3.1 Type 5.3.2 Methods / algorithms 5.3.3 Application 5.4 Derived measures on surfaces 6. Map overlay 6.1 Introduction 6.2 Vector Overlay Operations 6.3 Raster Overlay Operations 6.4 Problems in simple Boolean polygon overlay 7. Multivariate data, multidimensional space, and specialization 7.1 Introduction 7.2 Multivariate data and multidimensional space 7.3 Distance, difference and similarity 7.4 Cluster analysis 7.5 Spatialization 7.6 Reducing the number of variables: PCA 8. New approaches to spatial analysis 8.1 Introduction 8.2 Geo-computation 8.3 Spatial Models |
| Credit hours/ Marks:- 3 |
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