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This study develops a spatial framework to examine how cumulative climate risk relates to multidimensional human flourishing across U.S. counties. High\u2010resolution climate hazard indicators are integrated with a Human Flourishing Geographic Index, an index derived from classification of 2.6 billion geotagged tweets using fine\u2010tuned open\u2010source LLMs. These indicators are aggregated to the US county\u2010level and mapped to a structural equation model to infer climate risks (both hydro\u2010meteorological and thermal) and human flourishing dimensions, including expressed well\u2010being, meaning and purpose, social connectedness, psychological distress, physical condition, economic stability, religiosity, character and virtue, and institutional trust. The results reveal significant spatial associations between cumulative climate risks and expressed human flourishing, with coherent geographical patterns corresponding to recurrent exposure to hydro\u2010risks as well as to thermal hazards. The study demonstrates how Generative AI can be combined with latent construct modeling for geographical analysis and for spatial knowledge extraction.<\/jats:p>","DOI":"10.1111\/tgis.70301","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T09:51:01Z","timestamp":1780912261000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration With Generative\n                    <scp>AI<\/scp>"],"prefix":"10.1111","volume":"30","author":[{"given":"Stefano M.","family":"Iacus","sequence":"first","affiliation":[{"name":"Institute for Quantitative Social Science Harvard University  Cambridge Massachusetts USA"},{"name":"European Commission Joint Research Centre  Sevilla Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0268-1471","authenticated-orcid":false,"given":"Haodong","family":"Qi","sequence":"additional","affiliation":[{"name":"Stockholm University Demography Unit  Stockholm Sweden"},{"name":"Department of Global Political Studies Malm\u00f6 University  Malm\u00f6 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7800-929X","authenticated-orcid":false,"given":"Devika","family":"Jain","sequence":"additional","affiliation":[{"name":"Center for Geographic Analysis Harvard University  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,8]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1607171113"},{"key":"e_1_2_9_3_1","unstructured":"AlphaGeo.2025.\u201cAlphageo Climate Risk & Resilience\u2010Adjusted Index (Risk Scores and Location Analytics). 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