Home ›
Entities
› academia
› Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations
Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations
Research article (International Journal of Geographical Information Systems, 2025) · cited 20× · AI/ML
Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations
Summary
Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations is a scholarly article[1].
Key Facts
Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations. Retrieved May 24, 2026, from https://4ort.xyz/entity/foundation-models-for-geospatial-reasoning-assessing-the-capabilities-of-large-language-models-in-understanding-geometri
MLA“Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/foundation-models-for-geospatial-reasoning-assessing-the-capabilities-of-large-language-models-in-understanding-geometri.
BibTeX@misc{4ortxyz_foundation-models-for-geospatial-reasoning-assessing-the-capabilities-of-large-language-models-in-understanding-geometri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations}}, year = {2026}, url = {https://4ort.xyz/entity/foundation-models-for-geospatial-reasoning-assessing-the-capabilities-of-large-language-models-in-understanding-geometri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations — https://4ort.xyz/entity/foundation-models-for-geospatial-reasoning-assessing-the-capabilities-of-large-language-models-in-understanding-geometri (retrieved 2026-05-24)
