Getting Started
Begin here if you are new to modelling, new to reading equations, or not yet confident about how to approach the book.
A clustered learning library in computational geography, with one core book, topic libraries, and advanced investigations.
Learn is the home of the Wayward House computational geography program. Start with the core ENVMOD209-inspired book, branch into topic libraries when a subject grabs you, and use the laboratory for harder applied investigations.
A good learning library reduces anxiety immediately: where to start, what the main book is, and where specialist branches live.
Begin here if you are new to modelling, new to reading equations, or not yet confident about how to approach the book.
The main staircase through the subject, designed to be readable in sequence by a motivated beginner.
Remote sensing, cryosphere, economic systems, and machine learning open as coherent branches when you want subject-focused depth.
Setup help, GIS logic, quantitative methods, and practical workflows support the whole project instead of living inside just one branch.
This is the route we want most readers to see first.
Rates, growth, terrain, and the mathematical language behind spatial models.
Open Part 1 →Energy, soils, atmosphere, vegetation, and what environmental data can reveal.
Open Part 2 →Predicates, overlays, rasters, visibility, and watershed logic as practical computation.
Open Part 3 →Fire, rainfall, flood risk, and why environmental prediction matters in live systems.
Open Part 4 →Trade, transport, pricing, cities, and the geography of human systems.
Open Part 5 →Use cross-cutting setup help, GIS resources, quantitative methods, and workflow guides to support every part of the project.
Open Methods and Tools →Browse remote sensing, cryosphere, machine learning, and deeper economic systems by topic instead of forcing them into the main staircase.
Browse Topic Libraries →Integrated projects, applications, and harder open-ended modelling problems.
Open the Laboratory →