A segmented landowner dataset for a mountain protected-area gateway: Cerro Castillo National Park, Chilean Patagonia (2024)

This dataset supports a landowner-typology study of the buffer zone of Cerro Castillo National Park, a mountain protected-area gateway in the Aysén region of Chilean Patagonia undergoing tourism-driven amenity transition. It contains de-identified responses from a survey of 641 landowners conducted Feb–July 2024 within 10 km of the park (637 retained for segmentation; 636 georeferenced to watershed sub-catchments), with the derived variables, segment assignments and validation results needed to reproduce the analysis. Four owner segments — Committed newcomers, Rooted landholders, Active citizens, and Park-disengaged owners — are obtained by k-means on eleven standardised variables: two territorial-bond indices (bond with own land, bond with the park), a disposition-to-change index, four conservation-citizenship sub-indices (civic identity, civic behaviour, norm compliance, participatory action), age, education, tenure length and acquisition mode. Because the bond items were administered under two survey versions (A/B), the two bond indices are harmonised across versions by mean-sigma random-groups test-equating before clustering, removing the instrument artifact; the equated inputs (idx_tierra_h, idx_parque_h) are stored alongside the raw indices. The workbook has seven sheets: (1) de-identified case-level data (641 × 191) — segment labels, all clustering inputs, the equated bond indices, an assignment-method flag, and profiling, spatial and institutional variables; (2) a codebook with variable descriptions, types and value labels (Spanish glossed in English); (3) Derived_variables — the construction of every derived index, verified to reproduce the stored values; (4) Validation — internal indices (silhouette, Davies–Bouldin) for k = 2–8 and nonparametric bootstrap stability; (5) a segment-by-sticker crosstab from a qualitative sub-sample; (6) a sub-catchment table of person- versus land-area dominance; and (7) a README documentation sheet. No direct or indirect identifiers are included; geography is retained only as coarse watershed sub-catchment (1–19). Data were collected under FONDECYT Regular project 1230020 (ANID, Chile); ethics approval IRI11_23, Universidad Austral de Chile; participants gave informed consent. This is the segmentation/typology dataset, distinct from the companion deposit (Gale & Báez-Montenegro, 2026; Mendeley Data, doi:10.17632/cf69gj7ndg.1), which holds the relational-values and place-attachment survey underlying a separate structural-equation analysis. The two share the 2024 field survey but differ in scope and structure: the present file provides the segment assignments, the equated (harmonised) clustering inputs, an education variable absent from the companion deposit, spatial and institutional variables, validation material, and the item batteries needed to reconstruct and verify every derived index; the companion deposit organises the relational-values and place-attachment items for structural-equation modelling.