Difference between revisions of "Lesson Plan"
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|1||[[Lesson01|Introduction to Geospatial Analytics - Thinking Spatially]]|| | |1||[[Lesson01|Introduction to Geospatial Analytics - Thinking Spatially]]|| |
Revision as of 09:34, 6 January 2019
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Week | Topic | Events |
1 | Introduction to Geospatial Analytics - Thinking Spatially | |
2 | Geospatial Data Wrangling | |
3 | Thematic Mapping and Cartographic Design | |
4 | Spatial Autocorrelations and Spatial Weights | Take-home Exercise 1 due |
5 | Analysing and Visualising Geographically Referenced Attributes | |
6 | Multivariate Spatial Data Analysis Techniques | |
7 | Geographic Segmentation with Spatially Constrained Cluster Analysis | Take-home Exercise 2 due |
8 | Mid-term break | Workshop on Building Geospatial Analytics Application with R Shiny |
9 | Building Geographic Models | |
10 | Spatial Point Patterns Analysis and Applications | Take-home Exercise 3 due |
11 | Network-Constrained Spatial Analysis | |
12 | Analysing and Visualising Movement Data | Take-home Exercise 4 due |
13 | Modelling Geographical Accessibility and Spatial Interaction | |
14 | Revision week: Poster Presentation | |
15 | Examination week | |
16 | Examination week |