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feat/PoC: settlement position reconstruction #412

Description

@otto-link

see: generate_network_alpha_model for road network, settlement connections
ref: https://www.researchgate.net/publication/257154745_Models_of_settlement_hierarchy_based_on_partial_evidence

Objective

Implement a PoC in HighMap to estimate plausible settlement positions from terrain data. The goal is to determine whether landscape constraints and optionnally known settlements can be combined into a settlement probability field from which missing settlements can be inferred.

Approach

Build a suitability/probability map from:

  • terrain and slope;
  • water availability / proximity;
  • arable land;
  • accessibility / transport routes;
  • proximity to known settlements.

From the resulting field, extract candidate settlement positions using:

  • local maxima;
  • minimum-distance suppression;
  • optionally stochastic sampling.

Each candidate should have a probability/suitability score.

Settlement hierarchy

As a second step, estimate a basic settlement importance from factors such as:

  • local suitability;
  • accessibility;
  • catchment area;
  • interaction with surrounding settlements.

A full Harris-Wilson / entropy-maximizing model is out of scope for the PoC.

The PoC should produce:

  • a settlement probability heightmap;
  • candidate settlement positions;
  • a score/importance for each candidate.

Activity

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    theme: terrain-semanticsSettlements, vegetation, landscape reasoning (grant cluster)

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