Difference between revisions of "Lesson Plan"
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|5||[[Lesson05|Spatial Clustering of Geographically Referenced Attributes]]|| | |5||[[Lesson05|Spatial Clustering of Geographically Referenced Attributes]]|| | ||
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| − | |6||[[Lesson06| | + | |6||[[Lesson06|Geographic Segmentation with Spatially Constrained Cluster Analysis]]|| |
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| − | |7||[[Lesson07| | + | |7||[[Lesson07|Modelling with Multivariate Geographically Referenced Data]]||Take-home Exercise 2 due |
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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 | ||
Revision as of 16:19, 6 February 2019
IS415 GeoSpatial Analytics and Applications
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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 with Multivariate Geographically Referenced Data | 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 |
