TEMPLAR Wales is a georeferenced dataset of 3,757 Welsh settlements that links settlement locations to lexical annotations and environmental attributes. It contains 1,350 lexical detections derived from a fixed registry of 24 Welsh place-name elements, along with detailed environmental data such as river and coastal proximity, elevation, terrain context, land cover, and woody cover at multiple spatial scales. The resource is distributed as relational tables with accompanying documentation, and technical validation confirms its relational integrity, deterministic lexical reconstruction, and agreement between independent terrain sources.
By Oktay Karaku\c{s}, Can Eyupoglu
arXiv:2608. 06884v1 Announce Type: cross Abstract: Biological specimen records collected by natural history institutions constitute a rich source of temporal geographic knowledge, capturing biodiversity information about regional landscapes as they were recorded at different times.
By Aneesha Fernando, Surangika Ranathunga, Kristin Stock, Raj Prasanna, Christopher B. Jones
arXiv:2608. 08321v1 Announce Type: new Abstract: Floods and landslides often co-occur, but their relationships with environmental controls vary spatially.
By Aswathi Mundayatt, Siddharth Anil, Hitanshu Seth, Jaya Sreevalsan-Nair
arXiv:2605. 03383v2 Announce Type: replace Abstract: Geological interpretation infers subsurface properties and structures from indirect geophysical observations.
By Xiaoyu Tao, Mingyue Cheng, Jiahao Wang, Yitong Zhou, Qingyang Mao, Yimin Dou, Qi Liu, Shijin Wang, Enhong Chen
arXiv:2608. 12663v1 Announce Type: cross Abstract: Wildfire susceptibility mapping typically relies on physical variables assembled from multiple remote-sensing, climate, and geospatial products.
By Yuan Zhuang, Sanaa Hobeichi, Peng Shi, Fei Huang
PlaceSeek is a human‑centered geospatial retrieval framework that maps natural‑language queries to street‑view images by decomposing queries into functional and affective sub‑intents. It uses a Semantic Grounding Module to verify that candidate images contain the physical evidence needed for the intended activity, and an Affective Alignment Module to re‑rank these candidates based on human urban perception judgments. Evaluated on 31,956 Milan street‑view locations, PlaceSeek achieves high precision and ranking metrics, outperforming several vision‑language baselines and demonstrating the importance of both physical grounding and affective alignment for complex urban spatial queries.
By Ziqi Cui, Shangyu Lou