Jonas Reith
53e371bb2f
World-Creation stage after biomes. Two layers (raylib-free engine):
- Per-cell density scalars (flora/fauna/funga in [0,1]) derived from the
climate fields each tick (drive color modes 8/9/0). Flora = Liebig-min of
temp & moisture; fauna ~ flora with carnivores gated on local prey; funga =
moisture/organic-matter-led + cold-tolerant. Zero on water/ice.
- On-demand discrete population (key L, saved as v7): each land cell draws
broad archetypes from a comprehensive table into a per-kind slot cap +
density-scaled point budget (size -> cost), weighted by biome/climate
suitability and a regional bonus for same-biome neighbours. Separate RNG
seeded from cfg.seed so generating biota never perturbs tectonic determinism.
Organisms are labelled by taxonomy (Family + Size + role, e.g. "Felidae
(Big, Carnivore)") with the full Class > Order > Family tree stored, never an
informal common name. Cell-info panel word-wraps + aggregates duplicates so the
lists no longer get cut off.
New: src/sim/PlanetBiota.{hpp,cpp} + PlanetFlora/Fauna/FungiGen.cpp, color
modes/colors, bio* config knobs, save v7 (older saves load with empty
population), test_biota.cpp (densities, fauna<=capacity, carnivore gating,
slot/point budgets, determinism + RNG isolation, v7 round-trip). Docs updated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
92 lines
2.6 KiB
Markdown
92 lines
2.6 KiB
Markdown
Fauna Generation Plan
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For fauna, I want the system to handle animals in broad ecological groups: predators, herbivores, and animals that fall somewhere in between.
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1. Basic Animal Types
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First, we should define basic animal types that can exist in many different environments. These are not specific species, but general animal categories.
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For example:
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Rodents
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Desert rodents in desert regions
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Swamp rodents in swamp regions
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Forest rodents in forest regions
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The same approach should be used for other common animal groups that can appear across many biomes.
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2. Animal Classification
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For regional animals, we should describe them more by broad biological classification and size rather than by exact genus or species.
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The classification should use something like:
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Class
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Order
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Family
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Size category
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Example:
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text
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Animal: Cat-like predator
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Class: Mammal
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Order: Carnivora
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Family: Felidae
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Size: Small
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A tiger-like animal would use the same family but have a larger size:
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text
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Animal: Tiger-like predator
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Class: Mammal
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Order: Carnivora
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Family: Felidae
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Size: Big
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Size categories could be:
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Tiny
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Small
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Medium
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Big
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Huge
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If more biological information is needed, please ask me. You can also look up general classification information if needed.
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3. Cell Population System
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Each map cell should be populated using a slot and point system.
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For example:
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Each cell has 10 fauna slots
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Each cell has 20 fauna points
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Every animal takes up a certain number of points depending on its size:
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Size Point Cost
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Tiny 1
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Small 2
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Medium 3
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Big 4
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Huge 5
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Animals are added to the cell until either:
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All slots are filled, or
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All points are used
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Once one of these limits is reached, the system stops adding animals to that cell.
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4. Regional Distribution
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To create a more homogeneous and natural distribution, the system should check neighboring cells when populating fauna.
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The rules could be:
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If neighboring cells have the same climate, there is a high probability that the same or similar animals appear there.
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If neighboring cells have a different climate, it is more likely animals should be generated instead.
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Similar biomes should share more fauna.
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Very different biomes should have more distinct fauna.
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This should help avoid every cell feeling completely random while still allowing variety between different regions.
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5. Overall Goal
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The goal is to create a fauna system that feels natural, biome-based, and regionally consistent, without needing to define every animal as an exact real-world species. Animals should be generated from broad biological groups, ecological roles, and size categories.
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