Series 1 · 12 models planned · ~40h
Foundations of Computational Geography
Building mathematical and computational literacy through spatial systems
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A
Modelling Change
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1
What Is a Spatial Model? Variables, units, and the discipline of thinking in fields1
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2
Linear Change and Rate Slope as the fundamental measure of how things change through space and time1
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3
Exponential Growth and Logarithms When the rate of change depends on how much you already have2
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4
Logistic Growth and Equilibrium When growth slows as it approaches a limit — feedback, carrying capacity, and stability2
B
Energy and Attenuation
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5
Light Attenuation in a Canopy Exponential decay through space — modelling vertical gradients in forest light3
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6
Solar Geometry and Projection Trigonometry and the dot product — how surface orientation affects energy receipt3
C
Terrain and Spatial Derivatives
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7
Digital Elevation Models as Functions Representing terrain as a function of two variables — from continuous surfaces to discrete grids3
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9
Hydrological Flow as Optimization From local slopes to global watersheds — routing water across a DEM4
D
Human Systems as Mathematical Systems
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10
Gravity Models of Trade and Migration Distance decay and inverse power laws in human geography3
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11
Spatial Diffusion of Innovation How ideas, diseases, and technologies spread across networks over time4
E
Observing the Earth
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12
Earth as a Rotating Sphere Spherical coordinates, angular velocity, and the geometry of our rotating planet3