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Course information

General info
Learning objectives
Readings
Grading
Course environment
Install Python + libraries (optional)
Communicating with Slack
License and terms of usage
Attribution

Week 1

Introduction to the course
Overview
Introduction to Spatial Analysis
Tutorial 1 - Spatial analysis with Python
Point pattern analysis
Spatial autocorrelation
Tutorial 1.1 - Meet Git
Exercise 1

Week 2

Overview
Analysis of spatial field data
Geostatistics: Kriging interpolation
Exercise 2

Week 3

Overview
Map overlay & algebra
Spatial network analysis
Exercise 3

Week 4

Overview
Spatial networks: Optimization & Centrality
Multivariate Spatial Analysis
Exercise 4

Week 5

Overview
Cartography and Map User Interfaces
Visual analytics
Conclusions, Exam & Practicalities

Repository
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.rst

Introduction to the course

Introduction to the course#

Welcome to the course! The following presentation gives you an overview of the course and basic information about various things:

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Overview

By Henrikki Tenkanen

© Copyright 2023, Henrikki Tenkanen, Dept. of Built Environment, Aalto University.