Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
Summary
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions is a scholarly article[1].
Key Facts
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-modelling-of-landslide-counts-and-sizes-using-spatial-marked-point-processes-with-sub-asymptotic-mark-distribution
MLA“Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-modelling-of-landslide-counts-and-sizes-using-spatial-marked-point-processes-with-sub-asymptotic-mark-distribution.
BibTeX@misc{4ortxyz_joint-modelling-of-landslide-counts-and-sizes-using-spatial-marked-point-processes-with-sub-asymptotic-mark-distribution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions}}, year = {2026}, url = {https://4ort.xyz/entity/joint-modelling-of-landslide-counts-and-sizes-using-spatial-marked-point-processes-with-sub-asymptotic-mark-distribution}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions — https://4ort.xyz/entity/joint-modelling-of-landslide-counts-and-sizes-using-spatial-marked-point-processes-with-sub-asymptotic-mark-distribution (retrieved 2026-05-24)
