Difference between revisions of "Lesson Plan"
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|8||Mid-term break||Workshop on Building Geospatial Analytics Application with R Shiny | |8||Mid-term break||Workshop on Building Geospatial Analytics Application with R Shiny | ||
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− | |9||[[Lesson08| | + | |9||[[Lesson08|Spatial Point Patterns Analysis and Applications]]|| |
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− | |10||[[Lesson9|Spatial | + | |10||[[Lesson9|Network-Constrained Spatial Analysis]]||Take-home Exercise 3 due |
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− | |11||[[Lesson10| | + | |11||[[Lesson10|Analysing and Visualising Movement Data]]|| |
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− | |12||[[Lesson11| | + | |12||[[Lesson11|Modelling Geographical Accessibility and Spatial Interaction]]|| Take-home Exercise 4 due |
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− | |13||[[Lesson12| | + | |13||[[Lesson12|Lesson12]]|| |
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|14||Revision week: Poster Presentation|| | |14||Revision week: Poster Presentation|| |
Revision as of 22:05, 11 February 2019
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Week | Topic | Events |
1 | Introduction to Geospatial Analytics - Thinking Spatially | |
2 | Geospatial Data Wrangling | |
3 | Thematic Mapping and GeoVisualisation | |
4 | Spatial Autocorrelations and Spatial Weights | Take-home Exercise 1 due |
5 | Spatial Clustering of Geographically Referenced Attributes | |
6 | Geographic Segmentation with Spatially Constrained Cluster Analysis | |
7 | Modelling Spatial Varying Relationship with Geographically Weighted Regression | Take-home Exercise 2 due |
8 | Mid-term break | Workshop on Building Geospatial Analytics Application with R Shiny |
9 | Spatial Point Patterns Analysis and Applications | |
10 | Network-Constrained Spatial Analysis | Take-home Exercise 3 due |
11 | Analysing and Visualising Movement Data | |
12 | Modelling Geographical Accessibility and Spatial Interaction | Take-home Exercise 4 due |
13 | Lesson12 | |
14 | Revision week: Poster Presentation | |
15 | Examination week | |
16 | Examination week |