Vote for your favorite mineral in #MinCup25! - Taenite vs. Nontronite
It's a mineral found mostly in the farthest reaches of space vs one so common an exhaustive list of localities is nigh impossible as alloy #taenite faces off against clay #nontronite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Gabriel, Edith, Rodríguez-Cortés, Francisco, Coville, Jérôme, Mateu, Jorge, Chadœuf, Joël (2023) Mapping the intensity function of a non-stationary point process in unobserved areas. Stochastic Environmental Research and Risk Assessment, 37 (1) 327-343 doi:10.1007/s00477-022-02304-0

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMapping the intensity function of a non-stationary point process in unobserved areas
JournalStochastic Environmental Research and Risk Assessment
AuthorsGabriel, EdithAuthor
Rodríguez-Cortés, FranciscoAuthor
Coville, JérômeAuthor
Mateu, JorgeAuthor
Chadœuf, JoëlAuthor
Year2023 (January)Volume37
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-022-02304-0Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15672613Long-form Identifiermindat:1:5:15672613:1
GUID0
Full ReferenceGabriel, Edith, Rodríguez-Cortés, Francisco, Coville, Jérôme, Mateu, Jorge, Chadœuf, Joël (2023) Mapping the intensity function of a non-stationary point process in unobserved areas. Stochastic Environmental Research and Risk Assessment, 37 (1) 327-343 doi:10.1007/s00477-022-02304-0
Plain TextGabriel, Edith, Rodríguez-Cortés, Francisco, Coville, Jérôme, Mateu, Jorge, Chadœuf, Joël (2023) Mapping the intensity function of a non-stationary point process in unobserved areas. Stochastic Environmental Research and Risk Assessment, 37 (1) 327-343 doi:10.1007/s00477-022-02304-0
In(2023, January) Stochastic Environmental Research and Risk Assessment Vol. 37 (1) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Adelfio, Giada, Siino, Marianna, Mateu, Jorge, Rodríguez-Cortés, Francisco J. (2020) Some properties of local weighted second-order statistics for spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 34 (1). 149-168 doi:10.1007/s00477-019-01748-1
Choiruddin, Achmad, Hannanu, Firdaus Fabrice, Mateu, Jorge, Fitriyanah, Vanda (2023) COVID-19 transmission risk in Surabaya and Sidoarjo: an inhomogeneous marked Poisson point process approach. Stochastic Environmental Research and Risk Assessment, 37 (6) 2271-2282 doi:10.1007/s00477-023-02393-5
Calatayud, Julia, Jornet, Marc, Mateu, Jorge (2023) Spatio-temporal stochastic differential equations for crime incidence modeling. Stochastic Environmental Research and Risk Assessment, 37 (5) 1839-1854 doi:10.1007/s00477-022-02369-x
Iftimi, Adina, Montes, Francisco, Mateu, Jorge, Ayyad, Carlos (2017) Measuring spatial inhomogeneity at different spatial scales using hybrids of Gibbs point process models. Stochastic Environmental Research and Risk Assessment, 31 (6). 1455-1469 doi:10.1007/s00477-016-1264-0
Calatayud, Julia, Jornet, Marc, Mateu, Jorge (2023) Modeling noisy time-series data of crime with stochastic differential equations. Stochastic Environmental Research and Risk Assessment, 37 (3) 1053-1066 doi:10.1007/s00477-022-02334-8
Rodríguez-Cortés, F. J., Mateu, J. (2015) Second-order smoothing of spatial point patterns with small sample sizes: a family of kernels. Stochastic Environmental Research and Risk Assessment, 29 (1). 295-308 doi:10.1007/s00477-014-0944-x
Rodrigues, Alexandre, González, Jonatan A., Mateu, Jorge (2023) A conditional machine learning classification approach for spatio-temporal risk assessment of crime data. Stochastic Environmental Research and Risk Assessment, 37 (7) 2815-2828 doi:10.1007/s00477-023-02420-5
Escudero, Isabel, Angulo, José M., Mateu, Jorge, Choiruddin, Achmad (2025) Crime risk assessment through Cox and self-exciting spatio-temporal point processes. Stochastic Environmental Research and Risk Assessment, 39 (1). doi:10.1007/s00477-024-02857-2
Martínez, Asael Fabian, Chaudhuri, Somnath, Díaz-Avalos, Carlos, Juan, Pablo, Mateu, Jorge, Mena, Ramsés H. (2023) Clustering constrained on linear networks. Stochastic Environmental Research and Risk Assessment, 37 (5) 1983-1995 doi:10.1007/s00477-022-02376-y
Calatayud, Julia, Jornet, Marc, Mateu, Jorge (2022) A stochastic Bayesian bootstrapping model for COVID-19 data. Stochastic Environmental Research and Risk Assessment, 36 (9) 2907-2917 doi:10.1007/s00477-022-02170-w
Mateu, Jorge, Romano, Elvira (2017) Advances in spatial functional statistics. Stochastic Environmental Research and Risk Assessment, 31 (1). 1-6 doi:10.1007/s00477-016-1346-z
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 15, 2025 10:49:13
Go to top of page