From 0eec03987274aa00a0b17ae9ae31d7cfd90cb51c Mon Sep 17 00:00:00 2001 From: Alejandro Morales Sierra Date: Wed, 20 Nov 2024 16:26:05 +0100 Subject: [PATCH] Update tutorials to latest version --- .vscode/settings.json | 1 + Project.toml | 4 +- nice_trees.png | Bin 0 -> 671228 bytes test/forest.jl | 12 ++-- test/growthforest.jl | 119 ++++++++++++++++---------------- test/raytracedforest.jl | 146 ++++++++++++++++++++-------------------- test/snowflakes.jl | 2 +- test/tree.jl | 4 +- 8 files changed, 148 insertions(+), 140 deletions(-) create mode 100644 .vscode/settings.json create mode 100644 nice_trees.png diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..9e26dfe --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/Project.toml b/Project.toml index 1c9bb7d..ae489f6 100644 --- a/Project.toml +++ b/Project.toml @@ -10,6 +10,7 @@ PlantGraphs = "615ad455-9aac-4340-9247-71ef610f781a" PlantRayTracer = "78485975-e4aa-407d-b3bb-ded5a4265d05" PlantViz = "358bd95d-d12c-439f-94b7-04b17e500c7f" Reexport = "189a3867-3050-52da-a836-e630ba90ab69" +SkyDomes = "1838625c-7cf7-40c6-898b-904883e4b556" [compat] PlantGeomPrimitives = "0.0.3" @@ -18,4 +19,5 @@ PlantGraphs = "0.0.2" PlantRayTracer = " 0.0.6" PlantViz = "0.0.6" Reexport = "1.2.2" -julia = "1.9" +SkyDomes = "0.1.6" +julia = "1.11" diff --git a/nice_trees.png b/nice_trees.png new file mode 100644 index 0000000000000000000000000000000000000000..de1d4b666b9f06a8d5217d648fa325127e0ab6a8 GIT binary patch literal 671228 zcmeEv2UL?;w>FM5G8W`RMo|$^7-Rqe9Rx(03W|aV0)j}1f`D`ZA@txl3W9)2Q(6?M z(xmr9r73|Ry%PjNNr2F6NdA{0(Zrd1@49RK-@WsF_hc;vvhtp?&p!Kk_H*`|_o3D$ zRkm&Wx3RFWuw6K>qRqmxH+ucwkKaM>l(0S|LqEQ^Jgsq>g(W*=JNd>B(BGS!wN=ls zWMU7DL4O=HJFl(5!s2n5g~j)G7M2z0E#FZV7MG(eEQISUEGM6_uyEauDY+~UeU#;b z%4uDrjPnzw|??rF< z(|f)eoB#CQ+azdY-@L9jfAa?P=Nqd(zXyf~tj7X;4{Qw(SXe+<2B^UTFc(k)KnVaP z0Bo5BPy#>+SO6vX_oD>9mh3yXLR!E-SoV?8og8{!WPzo>5G%a?Lab2y3$X(E7h;9x 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@@ function VirtualPlantLab.feed!(turtle::Turtle, i::TreeTypes.Internode, data) ## Rotate turtle around the head to implement elliptical phyllotaxis rh!(turtle, data.phyllotaxis) HollowCylinder!(turtle, length = i.length, height = i.length/15, width = i.length/15, - move = true, color = RGB(0.5,0.4,0.0)) + move = true, colors = RGB(0.5,0.4,0.0)) return nothing end @@ -62,7 +62,7 @@ function VirtualPlantLab.feed!(turtle::Turtle, l::TreeTypes.Leaf, data) ra!(turtle, -data.leaf_angle) ## Generate the leaf Ellipse!(turtle, length = l.length, width = l.width, move = false, - color = RGB(0.2,0.6,0.2)) + colors = RGB(0.2,0.6,0.2)) ## Rotate turtle back to original direction ra!(turtle, data.leaf_angle) return nothing @@ -233,7 +233,7 @@ newforest = deepcopy(forest) @threads for i in eachindex(forest) newforest[i] = simulate(forest[i], getInternode, 6) end -render(Scene(newforest), parallel = true) +render(Scene(newforest, parallel = true)) #= An alternative way to perform the simulation is to have an outer loop for each timestep and an internal loop over the different trees. Although this approach is not required for this simple model, most FSP models will probably need such a scheme as growth of each individual plant will depend on competition for resources with neighbouring plants. In this case, this approach would look as follows: @@ -245,7 +245,7 @@ for step in 1:15 newforest[i] = simulate(newforest[i], getInternode, 1) end end -render(Scene(newforest), parallel = true) +render(Scene(newforest, parallel = true)) #= # Customizing the scene @@ -276,7 +276,7 @@ VirtualPlantLab.translate!(soil, Vec(0.0, 10.5, 0.0)) We can now add the `soil` to the `scene` object with the `add!` function. =# -VirtualPlantLab.add!(scene, mesh = soil, color = RGB(1,1,0)) +VirtualPlantLab.add!(scene, mesh = soil, colors = RGB(1,1,0)) #= We can now render the scene that combines the random forest of binary trees and a yellow soil. Notice that @@ -297,5 +297,5 @@ compute the resolution from a physical width and height in cm and a dpi (e.g., u =# res = calculate_resolution(width = 16.0, height = 16.0, dpi = 1_000) -output = render(scene, axes = false, resolution = res) +output = render(scene, axes = false, size = res) export_scene(scene = output, filename = "nice_trees.png") diff --git a/test/growthforest.jl b/test/growthforest.jl index 7adffb0..b95fb9c 100644 --- a/test/growthforest.jl +++ b/test/growthforest.jl @@ -1,10 +1,19 @@ #= + # Growth forest -Alejandro Morales +Alejandro Morales & Ana Ernst Centre for Crop Systems Analysis - Wageningen University +> ## TL;DR +> Now we want to implement a more extended functionality of our [Forest]()! +> - Growth rules, based on information stored in organs (dimensions, carbon assimilation) +> - Update dimensions in function of assimilation +> - Compute sink strength +> - Merge Scenes +> - Generate forest on grid and retrieve canopy-level data (e.g., LAI) +> In this example we extend the binary forest example to have more complex, time- dependent development and growth based on carbon allocation. For simplicity, the @@ -24,6 +33,7 @@ import Random using FastGaussQuadrature using Distributions Random.seed!(123456789) +import GLMakie #= ## Model definition @@ -39,21 +49,21 @@ module. The differences with respect to the previous example are: - Bud break probability is a function of distance to apical meristem =# -## Data types +# Data types module TreeTypes using VirtualPlantLab using Distributions - ## Meristem + # Meristem Base.@kwdef mutable struct Meristem <: VirtualPlantLab.Node - age::Int64 = 0 ## Age of the meristem + age::Int64 = 0 # Age of the meristem end - ## Bud + # Bud struct Bud <: VirtualPlantLab.Node end - ## Node + # Node struct Node <: VirtualPlantLab.Node end - ## BudNode + # BudNode struct BudNode <: VirtualPlantLab.Node end - ## Internode (needs to be mutable to allow for changes over time) + # Internode (needs to be mutable to allow for changes over time) Base.@kwdef mutable struct Internode <: VirtualPlantLab.Node age::Int64 = 0 ## Age of the internode biomass::Float64 = 0.0 ## Initial biomass @@ -61,7 +71,7 @@ module TreeTypes width::Float64 = 0.0 ## Internodes sink::Exponential{Float64} = Exponential(5) end - ## Leaf + # Leaf Base.@kwdef mutable struct Leaf <: VirtualPlantLab.Node age::Int64 = 0 ## Age of the leaf biomass::Float64 = 0.0 ## Initial biomass @@ -69,11 +79,11 @@ module TreeTypes width::Float64 = 0.0 ## Leaves sink::Beta{Float64} = Beta(2,5) end - ## Graph-level variables -> mutable because we need to modify them during growth + # Graph-level variables -> mutable because we need to modify them during growth Base.@kwdef mutable struct treeparams - ## Variables + # Variables biomass::Float64 = 2e-3 ## Current total biomass (g) - ## Parameters + # Parameters RGR::Float64 = 1.0 ## Relative growth rate (1/d) IB0::Float64 = 1e-3 ## Initial biomass of an internode (g) SIW::Float64 = 0.1e6 ## Specific internode weight (g/m3) @@ -97,32 +107,32 @@ import .TreeTypes The methods for creating the geometry and color of the tree are the same as in the previous example. +Create geometry + color for the internodes =# -## Create geometry + color for the internodes function VirtualPlantLab.feed!(turtle::Turtle, i::TreeTypes.Internode, vars) - ## Rotate turtle around the head to implement elliptical phyllotaxis + # Rotate turtle around the head to implement elliptical phyllotaxis rh!(turtle, vars.phyllotaxis) HollowCylinder!(turtle, length = i.length, height = i.width, width = i.width, - move = true, color = RGB(0.5,0.4,0.0)) + move = true, colors = RGB(0.5,0.4,0.0)) return nothing end -## Create geometry + color for the leaves +# Create geometry + color for the leaves function VirtualPlantLab.feed!(turtle::Turtle, l::TreeTypes.Leaf, vars) - ## Rotate turtle around the arm for insertion angle + # Rotate turtle around the arm for insertion angle ra!(turtle, -vars.leaf_angle) - ## Generate the leaf + # Generate the leaf Ellipse!(turtle, length = l.length, width = l.width, move = false, - color = RGB(0.2,0.6,0.2)) - ## Rotate turtle back to original direction + colors = RGB(0.2,0.6,0.2)) + # Rotate turtle back to original direction ra!(turtle, vars.leaf_angle) return nothing end -## Insertion angle for the bud nodes +# Insertion angle for the bud nodes function VirtualPlantLab.feed!(turtle::Turtle, b::TreeTypes.BudNode, vars) - ## Rotate turtle around the arm for insertion angle + # Rotate turtle around the arm for insertion angle ra!(turtle, -vars.branch_angle) end #= @@ -131,10 +141,10 @@ end The meristem rule is now parameterized by the initial states of the leaves and internodes and will only be triggered every X days where X is the plastochron. +Create right side of the growth rule (parameterized by the initial states +of the leaves and internodes) =# -## Create right side of the growth rule (parameterized by the initial states -## of the leaves and internodes) function create_meristem_rule(vleaf, vint) meristem_rule = Rule(TreeTypes.Meristem, lhs = mer -> mod(data(mer).age, graph_data(mer).plastochron) == 0, @@ -155,22 +165,22 @@ rather than the number of internodes. An adhoc traversal is used to compute this length of the main branch a bud belongs to (ignoring the lateral branches). =# -## Compute the probability that a bud breaks as function of distance to the meristem +# Compute the probability that a bud breaks as function of distance to the meristem function prob_break(bud) - ## We move to parent node in the branch where the bud was created + # We move to parent node in the branch where the bud was created node = parent(bud) - ## Extract the first internode + # Extract the first internode child = filter(x -> data(x) isa TreeTypes.Internode, children(node))[1] data_child = data(child) - ## We measure the length of the branch until we find the meristem + # We measure the length of the branch until we find the meristem distance = 0.0 while !isa(data_child, TreeTypes.Meristem) - ## If we encounter an internode, store the length and move to the next node + # If we encounter an internode, store the length and move to the next node if data_child isa TreeTypes.Internode distance += data_child.length child = children(child)[1] data_child = data(child) - ## If we encounter a node, extract the next internode + # If we encounter a node, extract the next internode elseif data_child isa TreeTypes.Node child = filter(x -> data(x) isa TreeTypes.Internode, children(child))[1] data_child = data(child) @@ -178,13 +188,13 @@ function prob_break(bud) error("Should be Internode, Node or Meristem") end end - ## Compute the probability of bud break as function of distance and - ## make stochastic decision + # Compute the probability of bud break as function of distance and + # make stochastic decision prob = min(1.0, distance*graph_data(bud).budbreak) return rand() < prob end -## Branch rule parameterized by initial states of internodes +# Branch rule parameterized by initial states of internodes function create_branch_rule(vint) branch_rule = Rule(TreeTypes.Bud, lhs = prob_break, @@ -196,7 +206,6 @@ function create_branch_rule(vint) end #= - ### Growth We need some functions to compute the length and width of a leaf or internode @@ -236,9 +245,7 @@ sink_strength(leaf, vars) = leaf.age > vars.leaf_expansion ? 0.0 : pdf(leaf.sink, leaf.age/vars.leaf_expansion)/100.0 plot(0:1:50, x -> sink_strength(TreeTypes.Leaf(age = x), TreeTypes.treeparams()), xlabel = "Age", ylabel = "Sink strength", label = "Leaf") -#= -=# sink_strength(int) = pdf(int.sink, int.age) plot!(0:1:50, x -> sink_strength(TreeTypes.Internode(age = x)), label = "Internode") #= @@ -275,11 +282,11 @@ strength. =# function grow!(tree, all_leaves, all_internodes) - ## Compute total biomass increment + # Compute total biomass increment tvars = data(tree) ΔB = tvars.RGR*tvars.biomass tvars.biomass += ΔB - ## Total sink strength + # Total sink strength total_sink = 0.0 for leaf in all_leaves total_sink += sink_strength(leaf, tvars) @@ -287,7 +294,7 @@ function grow!(tree, all_leaves, all_internodes) for int in all_internodes total_sink += sink_strength(int) end - ## Allocate biomass to leaves and internodes + # Allocate biomass to leaves and internodes for leaf in all_leaves leaf.biomass += ΔB*sink_strength(leaf, tvars)/total_sink end @@ -325,18 +332,18 @@ parallel. get_meristems(tree) = apply(tree, Query(TreeTypes.Meristem)) function daily_step!(forest) @threads for tree in forest - ## Retrieve all the relevant organs + # Retrieve all the relevant organs all_leaves = get_leaves(tree) all_internodes = get_internodes(tree) all_meristems = get_meristems(tree) - ## Update the age of the organs + # Update the age of the organs age!(all_leaves, all_internodes, all_meristems) - ## Grow the tree + # Grow the tree grow!(tree, all_leaves, all_internodes) tvars = data(tree) size_leaves!(all_leaves, tvars) size_internodes!(all_internodes, tvars) - ## Developmental rules + # Developmental rules rewrite!(tree) end end @@ -350,30 +357,27 @@ orientation and RGR: =# RGRs = rand(Normal(0.3,0.01), 10, 10) histogram(vec(RGRs)) -#= -=# orientations = [rand()*360.0 for i = 1:2.0:20.0, j = 1:2.0:20.0] histogram(vec(orientations)) -#= -=# origins = [Vec(i,j,0) for i = 1:2.0:20.0, j = 1:2.0:20.0]; +nothing #hide #= The following initalizes a tree based on the origin, orientation and RGR: =# function create_tree(origin, orientation, RGR) - ## Initial state and parameters of the tree + # Initial state and parameters of the tree vars = TreeTypes.treeparams(RGR = RGR) - ## Initial states of the leaves + # Initial states of the leaves leaf_length, leaf_width = leaf_dims(vars.LB0, vars) vleaf = (biomass = vars.LB0, length = leaf_length, width = leaf_width) - ## Initial states of the internodes + # Initial states of the internodes int_length, int_width = int_dims(vars.LB0, vars) vint = (biomass = vars.IB0, length = int_length, width = int_width) - ## Growth rules + # Growth rules meristem_rule = create_meristem_rule(vleaf, vint) branch_rule = create_branch_rule(vint) axiom = T(origin) + RH(orientation) + @@ -387,7 +391,6 @@ function create_tree(origin, orientation, RGR) end #= - ## Visualization As in the previous example, it makes sense to visualize the forest with a soil @@ -401,10 +404,10 @@ Base.@kwdef struct Soil <: VirtualPlantLab.Node width::Float64 end function VirtualPlantLab.feed!(turtle::Turtle, s::Soil, vars) - Rectangle!(turtle, length = s.length, width = s.width, color = RGB(255/255, 236/255, 179/255)) + Rectangle!(turtle, length = s.length, width = s.width, colors = RGB(255/255, 236/255, 179/255)) end -soil_graph = RA(-90.0) + T(Vec(0.0, 10.0, 0.0)) + # Moves into position - Soil(length = 20.0, width = 20.0) # Draws the soil tile +soil_graph = RA(-90.0) + T(Vec(0.0, 10.0, 0.0)) + ## Moves into position + Soil(length = 20.0, width = 20.0) ## Draws the soil tile soil = Scene(Graph(axiom = soil_graph)); render(soil, axes = false) #= @@ -415,13 +418,12 @@ or a function): =# function render_forest(forest, soil) - scene = Scene(vec(forest)) # create scene from forest - scene = Scene([scene, soil]) # merges the two scenes + scene = Scene(vec(forest)) ## create scene from forest + scene = Scene([scene, soil]) ## merges the two scenes render(scene) end #= - ## Retrieving canopy-level data We may want to extract some information at the canopy level such as LAI. This is @@ -456,3 +458,4 @@ And compute the leaf area index: =# get_LAI(forest) +#= diff --git a/test/raytracedforest.jl b/test/raytracedforest.jl index 0ad6d58..6e8dae5 100644 --- a/test/raytracedforest.jl +++ b/test/raytracedforest.jl @@ -1,10 +1,19 @@ #= + # Ray-traced forest -Alejandro Morales +Alejandro Morales & Ana Ernst Centre for Crop Systems Analysis - Wageningen University +> ## TL;DR +> Now we want to forest growth model that PAR interception and introduces user to the ray-tracer. +> - Include material as a property for each object +> - Create sky for specific conditions and locations using SkyDomes +> - Layer different types of radiation in sky domes (e.g., direct and diffuse) +> - Combine graph and sky with a ray-tracer +> - Compute growth and biomass production according to PAR interception and RUE +> In this example we extend the forest growth model to include PAR interception a radiation use efficiency to compute the daily growth rate. @@ -33,21 +42,21 @@ Leaves have optical properties needed for ray tracing (they are defined as Lambertian surfaces). =# -## Data types +# Data types module TreeTypes using VirtualPlantLab using Distributions - ## Meristem + # Meristem Base.@kwdef mutable struct Meristem <: VirtualPlantLab.Node - age::Int64 = 0 ## Age of the meristem + age::Int64 = 0 # Age of the meristem end - ## Bud + # Bud struct Bud <: VirtualPlantLab.Node end - ## Node + # Node struct Node <: VirtualPlantLab.Node end - ## BudNode + # BudNode struct BudNode <: VirtualPlantLab.Node end - ## Internode (needs to be mutable to allow for changes over time) + # Internode (needs to be mutable to allow for changes over time) Base.@kwdef mutable struct Internode <: VirtualPlantLab.Node age::Int64 = 0 ## Age of the internode biomass::Float64 = 0.0 ## Initial biomass @@ -56,7 +65,7 @@ module TreeTypes sink::Exponential{Float64} = Exponential(5) material::Lambertian{1} = Lambertian(τ = 0.1, ρ = 0.05) ## Leaf material end - ## Leaf + # Leaf Base.@kwdef mutable struct Leaf <: VirtualPlantLab.Node age::Int64 = 0 ## Age of the leaf biomass::Float64 = 0.0 ## Initial biomass @@ -65,12 +74,12 @@ module TreeTypes sink::Beta{Float64} = Beta(2,5) material::Lambertian{1} = Lambertian(τ = 0.1, ρ = 0.05) ## Leaf material end - ## Graph-level variables -> mutable because we need to modify them during growth + # Graph-level variables -> mutable because we need to modify them during growth Base.@kwdef mutable struct treeparams - ## Variables + # Variables PAR::Float64 = 0.0 ## Total PAR absorbed by the leaves on the tree (MJ) biomass::Float64 = 2e-3 ## Current total biomass (g) - ## Parameters + # Parameters RUE::Float64 = 5.0 ## Radiation use efficiency (g/MJ) -> unrealistic to speed up sim IB0::Float64 = 1e-3 ## Initial biomass of an internode (g) SIW::Float64 = 0.1e6 ## Specific internode weight (g/m3) @@ -94,32 +103,32 @@ import .TreeTypes The methods for creating the geometry and color of the tree are the same as in the previous example but include the materials for the ray tracer. +Create geometry + color for the internodes =# -## Create geometry + color for the internodes function VirtualPlantLab.feed!(turtle::Turtle, i::TreeTypes.Internode, data) - ## Rotate turtle around the head to implement elliptical phyllotaxis + # Rotate turtle around the head to implement elliptical phyllotaxis rh!(turtle, data.phyllotaxis) HollowCylinder!(turtle, length = i.length, height = i.width, width = i.width, - move = true, color = RGB(0.5,0.4,0.0), material = i.material) + move = true, colors = RGB(0.5,0.4,0.0), materials = i.material) return nothing end -## Create geometry + color for the leaves +# Create geometry + color for the leaves function VirtualPlantLab.feed!(turtle::Turtle, l::TreeTypes.Leaf, data) - ## Rotate turtle around the arm for insertion angle + # Rotate turtle around the arm for insertion angle ra!(turtle, -data.leaf_angle) - ## Generate the leaf + # Generate the leaf Ellipse!(turtle, length = l.length, width = l.width, move = false, - color = RGB(0.2,0.6,0.2), material = l.material) - ## Rotate turtle back to original direction + colors = RGB(0.2,0.6,0.2), materials = l.material) + # Rotate turtle back to original direction ra!(turtle, data.leaf_angle) return nothing end -## Insertion angle for the bud nodes +# Insertion angle for the bud nodes function VirtualPlantLab.feed!(turtle::Turtle, b::TreeTypes.BudNode, data) - ## Rotate turtle around the arm for insertion angle + # Rotate turtle around the arm for insertion angle ra!(turtle, -data.branch_angle) end #= @@ -128,10 +137,10 @@ end The meristem rule is now parameterized by the initial states of the leaves and internodes and will only be triggered every X days where X is the plastochron. +Create right side of the growth rule (parameterized by the initial states +of the leaves and internodes) =# -## Create right side of the growth rule (parameterized by the initial states -## of the leaves and internodes) function create_meristem_rule(vleaf, vint) meristem_rule = Rule(TreeTypes.Meristem, lhs = mer -> mod(data(mer).age, graph_data(mer).plastochron) == 0, @@ -150,24 +159,24 @@ end The bud break probability is now a function of distance to the apical meristem rather than the number of internodes. An adhoc traversal is used to compute this length of the main branch a bud belongs to (ignoring the lateral branches). +Compute the probability that a bud breaks as function of distance to the meristem =# -# Compute the probability that a bud breaks as function of distance to the meristem function prob_break(bud) - ## We move to parent node in the branch where the bud was created + # We move to parent node in the branch where the bud was created node = parent(bud) - ## Extract the first internode + # Extract the first internode child = filter(x -> data(x) isa TreeTypes.Internode, children(node))[1] data_child = data(child) - ## We measure the length of the branch until we find the meristem + # We measure the length of the branch until we find the meristem distance = 0.0 while !isa(data_child, TreeTypes.Meristem) - ## If we encounter an internode, store the length and move to the next node + # If we encounter an internode, store the length and move to the next node if data_child isa TreeTypes.Internode distance += data_child.length child = children(child)[1] data_child = data(child) - ## If we encounter a node, extract the next internode + # If we encounter a node, extract the next internode elseif data_child isa TreeTypes.Node child = filter(x -> data(x) isa TreeTypes.Internode, children(child))[1] data_child = data(child) @@ -175,13 +184,13 @@ function prob_break(bud) error("Should be Internode, Node or Meristem") end end - ## Compute the probability of bud break as function of distance and - ## make stochastic decision + # Compute the probability of bud break as function of distance and + # make stochastic decision prob = min(1.0, distance*graph_data(bud).budbreak) return rand() < prob end -## Branch rule parameterized by initial states of internodes +# Branch rule parameterized by initial states of internodes function create_branch_rule(vint) branch_rule = Rule(TreeTypes.Bud, lhs = prob_break, @@ -215,13 +224,13 @@ function create_soil() return soil end function create_scene(forest) - ## These are the trees + # These are the trees scene = Scene(vec(forest)) - ## Add a soil surface + # Add a soil surface soil = create_soil() soil_material = Lambertian(τ = 0.0, ρ = 0.21) - add!(scene, mesh = soil, material = soil_material) - ## Return the scene + add!(scene, mesh = soil, materials = soil_material) + # Return the scene return scene end #= @@ -239,31 +248,31 @@ the light sources adequately). =# function create_sky(;scene, lat = 52.0*π/180.0, DOY = 182) - ## Fraction of the day and day length + # Fraction of the day and day length fs = collect(0.1:0.1:0.9) dec = declination(DOY) DL = day_length(lat, dec)*3600 - ## Compute solar irradiance + # Compute solar irradiance temp = [clear_sky(lat = lat, DOY = DOY, f = f) for f in fs] # W/m2 Ig = getindex.(temp, 1) Idir = getindex.(temp, 2) Idif = getindex.(temp, 3) - ## Conversion factors to PAR for direct and diffuse irradiance + # Conversion factors to PAR for direct and diffuse irradiance f_dir = waveband_conversion(Itype = :direct, waveband = :PAR, mode = :power) f_dif = waveband_conversion(Itype = :diffuse, waveband = :PAR, mode = :power) - ## Actual irradiance per waveband + # Actual irradiance per waveband Idir_PAR = f_dir.*Idir Idif_PAR = f_dif.*Idif - ## Create the dome of diffuse light + # Create the dome of diffuse light dome = sky(scene, Idir = 0.0, ## No direct solar radiation Idif = sum(Idir_PAR)/10*DL, ## Daily Diffuse solar radiation nrays_dif = 1_000_000, ## Total number of rays for diffuse solar radiation sky_model = StandardSky, ## Angular distribution of solar radiation - dome_method = equal_solid_angles, ## Discretization of the sky dome + dome_method = equal_solid_angles, # Discretization of the sky dome ntheta = 9, ## Number of discretization steps in the zenith angle nphi = 12) ## Number of discretization steps in the azimuth angle - ## Add direct sources for different times of the day + # Add direct sources for different times of the day for I in Idir_PAR push!(dome, sky(scene, Idir = I/10*DL, nrays_dir = 100_000, Idif = 0.0)[1]) end @@ -317,16 +326,15 @@ the different internodes (using `power()` on the `Material` object). Note that the `power()` function returns three different values, one for each waveband, but they are added together as RUE is defined for total PAR. - =# # Run the ray tracer, calculate PAR absorbed per tree and add it to the daily # total using general weighted quadrature formula function calculate_PAR!(forest; DOY = 182) - ## Reset PAR absorbed by the tree (at the start of a new day) + # Reset PAR absorbed by the tree (at the start of a new day) reset_PAR!(forest) - ## Run the ray tracer to compute daily PAR absorption + # Run the ray tracer to compute daily PAR absorption run_raytracer!(forest, DOY = DOY) - ## Add up PAR absorbed by each leaf within each tree + # Add up PAR absorbed by each leaf within each tree @threads for tree in forest for l in get_leaves(tree) data(tree).PAR += power(l.material)[1] @@ -383,11 +391,9 @@ sink_strength(leaf, vars) = leaf.age > vars.leaf_expansion ? 0.0 : pdf(leaf.sink, leaf.age/vars.leaf_expansion)/100.0 plot(0:1:50, x -> sink_strength(TreeTypes.Leaf(age = x), TreeTypes.treeparams()), xlabel = "Age", ylabel = "Sink strength", label = "Leaf") -#= -=# sink_strength(int) = pdf(int.sink, int.age) -plot!(0:1:50, x -> sink_strength(TreeTypes.Internode(age = x)), label = "Internode") +plot!(0:1:50, x -> sink_strength(TreeTypes.Leaf(age = x)), label = "Internode") #= Now we need a function that updates the biomass of the tree, allocates it to the @@ -422,11 +428,11 @@ strength. =# function grow!(tree, all_leaves, all_internodes) - ## Compute total biomass increment + # Compute total biomass increment tdata = data(tree) - ΔB = max(0.5, tdata.RUE*tdata.PAR/1e6) # Trick to emulate reserves in seedling + ΔB = max(0.5, tdata.RUE*tdata.PAR/1e6) ## Trick to emulate reserves in seedling tdata.biomass += ΔB - ## Total sink strength + # Total sink strength total_sink = 0.0 for leaf in all_leaves total_sink += sink_strength(leaf, tdata) @@ -434,7 +440,7 @@ function grow!(tree, all_leaves, all_internodes) for int in all_internodes total_sink += sink_strength(int) end - ## Allocate biomass to leaves and internodes + # Allocate biomass to leaves and internodes for leaf in all_leaves leaf.biomass += ΔB*sink_strength(leaf, tdata)/total_sink end @@ -471,22 +477,22 @@ parallel. =# get_meristems(tree) = apply(tree, Query(TreeTypes.Meristem)) function daily_step!(forest, DOY) - ## Compute PAR absorbed by each tree + # Compute PAR absorbed by each tree calculate_PAR!(forest, DOY = DOY) - ## Grow the trees + # Grow the trees @threads for tree in forest - ## Retrieve all the relevant organs + # Retrieve all the relevant organs all_leaves = get_leaves(tree) all_internodes = get_internodes(tree) all_meristems = get_meristems(tree) - ## Update the age of the organs + # Update the age of the organs age!(all_leaves, all_internodes, all_meristems) - ## Grow the tree + # Grow the tree grow!(tree, all_leaves, all_internodes) tdata = data(tree) size_leaves!(all_leaves, tdata) size_internodes!(all_internodes, tdata) - ## Developmental rules + # Developmental rules rewrite!(tree) end end @@ -500,30 +506,27 @@ orientation and RUE: =# RUEs = rand(Normal(1.5,0.2), 10, 10) histogram(vec(RUEs)) -#= -=# orientations = [rand()*360.0 for i = 1:2.0:20.0, j = 1:2.0:20.0] histogram(vec(orientations)) -#= -=# origins = [Vec(i,j,0) for i = 1:2.0:20.0, j = 1:2.0:20.0]; +nothing #hide #= The following initalizes a tree based on the origin, orientation and RUE: =# function create_tree(origin, orientation, RUE) - ## Initial state and parameters of the tree + # Initial state and parameters of the tree data = TreeTypes.treeparams(RUE = RUE) - ## Initial states of the leaves + # Initial states of the leaves leaf_length, leaf_width = leaf_dims(data.LB0, data) vleaf = (biomass = data.LB0, length = leaf_length, width = leaf_width) - ## Initial states of the internodes + # Initial states of the internodes int_length, int_width = int_dims(data.LB0, data) vint = (biomass = data.IB0, length = int_length, width = int_width) - ## Growth rules + # Growth rules meristem_rule = create_meristem_rule(vleaf, vint) branch_rule = create_branch_rule(vint) axiom = T(origin) + RH(orientation) + @@ -537,7 +540,6 @@ function create_tree(origin, orientation, RUE) end #= - ## Visualization As in the previous example, it makes sense to visualize the forest with a soil @@ -551,7 +553,7 @@ Base.@kwdef struct Soil <: VirtualPlantLab.Node width::Float64 end function VirtualPlantLab.feed!(turtle::Turtle, s::Soil, data) - Rectangle!(turtle, length = s.length, width = s.width, color = RGB(255/255, 236/255, 179/255)) + Rectangle!(turtle, length = s.length, width = s.width, colors = RGB(255/255, 236/255, 179/255)) end soil_graph = RA(-90.0) + T(Vec(0.0, 10.0, 0.0)) + ## Moves into position Soil(length = 20.0, width = 20.0) ## Draws the soil tile @@ -567,7 +569,7 @@ or a function): function render_forest(forest, soil) scene = Scene(vec(forest)) ## create scene from forest scene = Scene([scene, soil]) ## merges the two scenes - display(render(scene)) + render(scene) end #= diff --git a/test/snowflakes.jl b/test/snowflakes.jl index fa10ea7..abf6ab0 100644 --- a/test/snowflakes.jl +++ b/test/snowflakes.jl @@ -113,7 +113,7 @@ to generate random colors. function VirtualPlantLab.feed!(turtle::Turtle, e::sn.E, vars) HollowCylinder!(turtle, length = e.length, width = e.length/10, height = e.length/10, move = true, - color = RGB(rand(), rand(), rand())) + colors = RGB(rand(), rand(), rand())) return nothing end #= diff --git a/test/tree.jl b/test/tree.jl index b3cd0bd..3bec99b 100644 --- a/test/tree.jl +++ b/test/tree.jl @@ -69,7 +69,7 @@ function VirtualPlantLab.feed!(turtle::Turtle, i::TreeTypes.Internode, vars) ## Rotate turtle around the head to implement elliptical phyllotaxis rh!(turtle, vars.phyllotaxis) HollowCylinder!(turtle, length = i.length, height = i.length/15, width = i.length/15, - move = true, color = RGB(0.5,0.4,0.0)) + move = true, colors = RGB(0.5,0.4,0.0)) return nothing end @@ -79,7 +79,7 @@ function VirtualPlantLab.feed!(turtle::Turtle, l::TreeTypes.Leaf, vars) ra!(turtle, -vars.leaf_angle) ## Generate the leaf Ellipse!(turtle, length = l.length, width = l.width, move = false, - color = RGB(0.2,0.6,0.2)) + colors = RGB(0.2,0.6,0.2)) ## Rotate turtle back to original direction ra!(turtle, vars.leaf_angle) return nothing