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RM03: Spatial Analysis and Modelling

Welcome to 2020 lent term module RM03 : Spatial Analysis and Modelling.
Meterials of supervision could be found below.

Course outline

Lectures Topic Lecturers
Lecture 1 Introduction: Concepts, theory and practice in spatial analysis using GIS and data science (Elisabete A. Silva)
Lecture 2 Data types of data, data collection and processing: from census to new live data harvesting in a digital age of big data (Elisabete A. Silva)
Lecture 3 GIS and Data Processing: vector/raster/image data sets (Elisabete A. Silva)
Lecture 4 Spatial metrics & analysis: static and dynamic environments (Elisabete A. Silva & José Reis)
Supervision 1 Introduction of spatial analysis using Quantum GIS(QGIS) [Slides] [Exercises][Assignment][Answer] (H. Niu, H. R. Kwon)
Lecture 5 Urban and Environmental Dynamic Modelling (Elisabete A. Silva )
Lecture 6 Dynamic simulation models SA, MCA, ABM, CA, GA and NN: development, calibration, validation (Elisabete Silva)
Supervision 2 Netlogo - urban modelling [Slides][Exercises][Assignment][Answer] (H. R. Kwon, P. M. Scherer)
Lecture 7 Hot topics in Spatial analysis and new technologies (H. Niu, Y. Chen, H. R. Kwon, P. M. Scherer)
Lecture 8 Data Science, Complexity Theory and Adaptive Planning (Elisabete A. Silva)
Supervision 3 Linking Big Data(harvesting & mining) with QGIS [Slides][Exercises] (H. Niu, Y. Chen)
Revision Supervision TBC  

Contributors

This repo is created by Haifeng Niu and contributed by Heeseo Rain Kwon, Paul Scherer and Yiqiao Chen.

License

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.