--======================================================================================================================
--[[
    MODDED REGION DEFINITIONS

    The mod will include all imported files whose name starts with "Suk_RegionDefinitions_"
    include("Suk_RegionDefinitions_", true);

    Regions are created using a DBSCAN clustering algorithm.
    https://www.geeksforgeeks.org/dbscan-clustering-in-ml-density-based-clustering/

    Insert a new entry into g_RegionDefinitions with the following format

    g_RegionDefinitions[sRegionType] = {
        CheckerFunction = function(pPlot) return bBool end,
        MinSamples      = iInt, -- Minimum number of neighbors to create cluster
        Epsilon         = iInt, -- Maximum distance to consider another point a neighbor neighbors
        MinSize         = iInt, -- Minimum size of cluster for it to be valid. This is BEFORE Dilation. Optional. Default 0.
        Dilate          = iInt, -- How many tiles to grow the group by before finalising. Optional. Default 0.
        CoastalOnly,    = bBool -- Whether to limit the FINAL cluster to only coastal tiles.  Optional. False 0.
    }

    sRegionType MUST MATCH your Database entry

    the "Checker Function" determines which plots are considered valid "Nodes"
    for the algorithm

    Regions are grown from "Core Nodes", which are any Nodes with >= MinSamples number of neighbors
    Nodes are considered neighbors if the distance between them is <= Epsilon.
    Regions will include both regular and Core Nodes. It's just that regions are grown from Core Nodes.

    Regions are < MinSize are culled. MinSize defaults to 0 if not provided.
]]
--======================================================================================================================
-- DEFINITIONS
--======================================================================================================================
-- Forests
-------------------------------------
    g_RegionDefinitions["REGION_SUK_FOREST"] = {
        CheckerFunction =
            function(pPlot)
                return (pPlot:GetFeatureType() == GameInfo.Features.FEATURE_FOREST.Index)
            end,
        MinSamples  = 2,
        Epsilon     = 1,
        MinSize     = 4,
        Dilate      = 1,
    }
--======================================================================================================================
--======================================================================================================================