Difference between revisions of "Lesson Plan"

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[[Assignments| <font color="#FFFFFF">Assignments</font>]]
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[[Take-home Exercises| <font color="#FFFFFF">Take-home Exercises</font>]]
  
 
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|width="450pt"|Topic
 
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|width="100pt"|Events
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|width="300pt"|Events
 
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|1 (8 Jan)||[[Lesson01|Introduction to Geospatial Analytics - Thinking Spatially]]||
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|1||[[Lesson01|Introduction to Geospatial Analytics - Thinking Spatially]]||
 
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|2 (15 Jan)||[[Lesson02|The Evil is in The Data]]||
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|2||[[Lesson02|Geospatial Data Wrangling]]||
 
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|3 (22 Jan)||[[Lesson03|Thematic Mapping and Cartographic Design]]||
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|3||[[Lesson03|Thematic Mapping and GeoVisualisation]]||
 
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|4 (29 Jan)||[[Lesson04|Beyond Mapping - Vector-based GIS Analysis]]||
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|4||[[Lesson04|Spatial Autocorrelations and Spatial Weights]]||Take-home Exercise 1 due
 
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|5 (5 Feb)||[[Lesson05|The Science of Mapthematics and Cartographic Modelling]]||
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|5||[[Lesson05|Spatial Clustering of Geographically Referenced Attributes]]||
 
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|6 (12 Feb)||[[Lesson06|Geospatial Data Handling and Mapping with R ]]||
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|6||[[Lesson06|Geographic Segmentation with Spatially Constrained Cluster Analysis]]||
 
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|7 (19 Feb)||[[Lesson07|SMART: Spatial Data Mapping and Analysis with R Tools]]||
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|7||[[Lesson07|Modelling Spatial Varying Relationship with Geographically Weighted Regression]]||Take-home Exercise 2 due
 
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|8 (26 Feb)||Mid-term break||
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|8||Mid-term break||Workshop on Building Geospatial Analytics Application with R Shiny, Venue: SR3-1, SIS
 
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|9 (5 Mar)||[[Lesson08|Modelling Geographical Accessibility and Spatial Interaction]]||
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|9||[[Lesson08|Spatial Point Patterns Analysis and Applications]]||
 
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|10 (12 Mar)||[[Lesson9|Spatial Point Patterns Analysis and Applications]]||
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|10||[[Lesson9|Advanced Spatial Point Patterns Analysis]]||
 
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|11 (19 Mar)||[[Lesson10|Analysing and Visualising Geographically Referenced Attributes]]||  
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|11||[[Lesson10|Modelling Geographical Accessibility]]||Take-home Exercise 3 due
 
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|12 (26 Mar)||[[Lesson11|Multivariate Spatial Data Analysis Techniques]]||  
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|12||[[Lesson11|Spatial Interaction Models]]||  
 
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|13 (2 Apr)||[[Lesson12|Analysing and Visualising Movement Data]]||
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|13||[[Lesson12|Epilogue]]||
 
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|14 (9 Apr)||Revision week: Poster Presentation||
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|14||Revision week: Poster Presentation||
 
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|15(16 Apr)||Examination week||
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|15||Examination week||
 
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|16(23 Apr)||Examination week||
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|16||Examination week||
 
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Latest revision as of 08:00, 17 March 2019

Claraview.png IS415 GeoSpatial Analytics and Applications

About

Weekly Session

Take-home Exercises

Geospatial Analytics Project

Course Resources

 


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
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