Teach

This is a collection of my open University module resources, including UCL and Oxford. Workshops and guest presentations are elsewhere. Icons provide access to the materials (e.g.)

CASA0005 Geographic Information Systems and Science

GIS
data science
point patterns
spatial modelling
R
MSc
UCL
The purpose of this module is to equip students with an understanding of the principles underlying the conception, representation/measurement and analysis of spatial phenomena.

Andrew MacLachlan and Adam Dennett
1 min

 

CASA0010 Dissertation

templates
dissertation
supervision
MSc
UCL
Between 2019 and 2021 I led the CASA dissertation module and I continue to supervise students annually. It is based around the writing and preparation of an original research project in the form of a Master’s Dissertation.

Andrew MacLachlan
1 min

CASA0023 Remotely Sensing Cities and Environments

Google Earth Engine
Earth observation
machine learning
R
MSc
UCL
This module will enable students to operationalise remotely sensed Earth observation data for informing decisions on environmental hazards arising from a changing climate, specifically in relation to (a) urban areas and (b) future urban sustainability

Andrew MacLachlan
1 min

Critical interrogations of the digital urban in India

QGIS
Digital urban
workshop
IITH
Digital urban workshop at IIT Hyderabad introducing spatial data, QGIS and basic operataions such as spatial joins and spatial subsets.

Andrew MacLachlan, Pushpa Arabindoo, Haripriya Narasimhan
2 min

Spatial Analysis of Public Health Data

GIS
Health
Data Science
R
MSc
Oxford
Much of the data encountered in public health studies has a spatial dimension. The aim is to cover statistical approaches that can be used to make inferences and predictions from spatial data of the kind encountered in epidemiological analyses.

Andrew MacLachlan and guests!
1 min
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