Difference between revisions of "Lesson Plan"
Jump to navigation
Jump to search
| (15 intermediate revisions by the same user not shown) | |||
| Line 33: | Line 33: | ||
|width="20pt"|Week | |width="20pt"|Week | ||
|width="450pt"|Topic | |width="450pt"|Topic | ||
| − | |width=" | + | |width="300pt"|Events |
|- | |- | ||
|1||[[Lesson01|Introduction to Geospatial Analytics - Thinking Spatially]]|| | |1||[[Lesson01|Introduction to Geospatial Analytics - Thinking Spatially]]|| | ||
| Line 39: | Line 39: | ||
|2||[[Lesson02|Geospatial Data Wrangling]]|| | |2||[[Lesson02|Geospatial Data Wrangling]]|| | ||
|- | |- | ||
| − | |3||[[Lesson03|Thematic Mapping and | + | |3||[[Lesson03|Thematic Mapping and GeoVisualisation]]|| |
|- | |- | ||
|4||[[Lesson04|Spatial Autocorrelations and Spatial Weights]]||Take-home Exercise 1 due | |4||[[Lesson04|Spatial Autocorrelations and Spatial Weights]]||Take-home Exercise 1 due | ||
|- | |- | ||
| − | |5||[[Lesson05| | + | |5||[[Lesson05|Spatial Clustering of Geographically Referenced Attributes]]|| |
|- | |- | ||
| − | |6||[[Lesson06| | + | |6||[[Lesson06|Geographic Segmentation with Spatially Constrained Cluster Analysis]]|| |
|- | |- | ||
| − | |7||[[Lesson07| | + | |7||[[Lesson07|Modelling Spatial Varying Relationship with Geographically Weighted Regression]]||Take-home Exercise 2 due |
|- | |- | ||
| − | |8||Mid-term break|| | + | |8||Mid-term break||Workshop on Building Geospatial Analytics Application with R Shiny, Venue: SR3-1, SIS |
|- | |- | ||
| − | |9||[[Lesson08| | + | |9||[[Lesson08|Spatial Point Patterns Analysis and Applications]]|| |
|- | |- | ||
| − | |10||[[Lesson9|Spatial Point Patterns Analysis | + | |10||[[Lesson9|Advanced Spatial Point Patterns Analysis]]|| |
|- | |- | ||
| − | |11||[[Lesson10| | + | |11||[[Lesson10|Modelling Geographical Accessibility]]||Take-home Exercise 3 due |
|- | |- | ||
| − | |12||[[Lesson11| | + | |12||[[Lesson11|Spatial Interaction Models]]|| |
|- | |- | ||
| − | |13||[[Lesson12| | + | |13||[[Lesson12|Epilogue]]|| |
|- | |- | ||
|14||Revision week: Poster Presentation|| | |14||Revision week: Poster Presentation|| | ||
Latest revision as of 08:00, 17 March 2019
IS415 GeoSpatial Analytics and Applications
|
|
|
|
|
|
| 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, Venue: SR3-1, SIS |
| 9 | Spatial Point Patterns Analysis and Applications | |
| 10 | Advanced Spatial Point Patterns Analysis | |
| 11 | Modelling Geographical Accessibility | Take-home Exercise 3 due |
| 12 | Spatial Interaction Models | |
| 13 | Epilogue | |
| 14 | Revision week: Poster Presentation | |
| 15 | Examination week | |
| 16 | Examination week |
