Table 3 Core parameter settings for fragstats and spatial analysis

From: In situ characteristics and patterns of settlement spatial differentiation along the Grand Canal’s Tianjin Section

Parameter category

Parameter name

Setting value

Justification basis

Landscape pattern analysis

Adjacency rule

8-neighbor

It is compatible with the 30 m grid data and the band-shaped settlement distribution characteristics, enabling comprehensive capture of both orthogonal and diagonal connectivity among settlements. The pre-experimental validation results are consistent with actual conditions.

Landscape connectivity analysis

CONNECT threshold distance

200 m

Based on the average minimum nearest neighbor distance of 749 settlements (156 m) and following the empirical principle of 1.2–1.5 times, the threshold effectively covers more than 80% of the potential connectivity range among settlements.

Kernel density estimation (KDE)

Kernel function type

Gaussian kernel function (Gaussian)

Characterized by strong smoothness and weak edge effects, this setting is well-suited to the strip-shaped study area, yields the smallest cross-validation error (0.032), and clearly delineates clustering differentiation.

Kernel density estimation (KDE)

Bandwidth (search radius)

5500 m, cross-validation method

Adapted to the 17.6 km linear corridor along both sides of the canal and the density of 749 settlements, balancing spatial resolution and aggregation distinguishability, and cross-validated to determine the optimal value.