Vote for your favorite mineral in #MinCup25! - Paddlewheelite vs. Mannardite
It's a battle of the tiny as bright green #paddlewheelite goes up against jet black #mannardite. Both are small yet mighty minerals, but only one can win!
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

Dabo-Niang, Sophie, Hamdad, Leila, Ternynck, Camille, Yao, Anne-Françoise (2014) A kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data. Stochastic Environmental Research and Risk Assessment, 28 (8). 2075-2099 doi:10.1007/s00477-014-0903-6

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data
JournalStochastic Environmental Research and Risk Assessment
AuthorsDabo-Niang, SophieAuthor
Hamdad, LeilaAuthor
Ternynck, CamilleAuthor
Yao, Anne-FrançoiseAuthor
Year2014 (December)Volume28
Issue8
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-014-0903-6Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9339940Long-form Identifiermindat:1:5:9339940:5
GUID0
Full ReferenceDabo-Niang, Sophie, Hamdad, Leila, Ternynck, Camille, Yao, Anne-Françoise (2014) A kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data. Stochastic Environmental Research and Risk Assessment, 28 (8). 2075-2099 doi:10.1007/s00477-014-0903-6
Plain TextDabo-Niang, Sophie, Hamdad, Leila, Ternynck, Camille, Yao, Anne-Françoise (2014) A kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data. Stochastic Environmental Research and Risk Assessment, 28 (8). 2075-2099 doi:10.1007/s00477-014-0903-6
In(2014, December) Stochastic Environmental Research and Risk Assessment Vol. 28 (8) Springer Science and Business Media LLC

See Also

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

Dabo-Niang, Sophie, Yao, Anne-Francoise, Pischedda, Laura, Cuny, Philippe, Gilbert, Franck (2010) Spatial mode estimation for functional random fields with application to bioturbation problem. Stochastic Environmental Research and Risk Assessment, 24 (4). 487-497 doi:10.1007/s00477-009-0339-6
Bevilacqua, Moreno, Crudu, Federico, Porcu, Emilio (2015) Combining Euclidean and composite likelihood for binary spatial data estimation. Stochastic Environmental Research and Risk Assessment, 29 (2). 335-346 doi:10.1007/s00477-014-0938-8
García-Soidán, Pilar, Menezes, Raquel, Rubiños, Óscar (2014) Bootstrap approaches for spatial data. Stochastic Environmental Research and Risk Assessment, 28 (5). 1207-1219 doi:10.1007/s00477-013-0808-9
Kazianka, Hannes (2013) Approximate copula-based estimation and prediction of discrete spatial data. Stochastic Environmental Research and Risk Assessment, 27 (8). 2015-2026 doi:10.1007/s00477-013-0737-7
Ceyhan, Elvan (2014) Simulation and characterization of multi-class spatial patterns from stochastic point processes of randomness, clustering and regularity. Stochastic Environmental Research and Risk Assessment, 28 (5). 1277-1306 doi:10.1007/s00477-013-0824-9
Li, Lu, Xu, Chong-Yu, Zhang, Zengxin, Jain, Sharad K. (2014) Erratum to: Validation of a new meteorological forcing data in analysis of spatial and temporal variability of precipitation in India. Stochastic Environmental Research and Risk Assessment, 28 (5). 1083 doi:10.1007/s00477-014-0858-7
da Silva, Camilla Zacché, Costa, João Felipe (2014) Minimum/maximum autocorrelation factors applied to grade estimation. Stochastic Environmental Research and Risk Assessment, 28 (8). 1929-1938 doi:10.1007/s00477-014-0879-2
Vidal, Ignacio (2014) A Bayesian analysis of the Gumbel distribution: an application to extreme rainfall data. Stochastic Environmental Research and Risk Assessment, 28 (3). 571-582 doi:10.1007/s00477-013-0773-3
Chen, Aixian; Huang, Xiaoyun; Cui, Xia (2025) The optimal spatial averaging method for random/non-random missing data via super learner and its application to Tara Oceans data. Stochastic Environmental Research and Risk Assessment, 39 (6). doi:10.1007/s00477-025-02972-8
Curceac, Stelian, Ternynck, Camille, Ouarda, Taha B.M.J., Chebana, Fateh, Niang, Sophie Dabo (2019) Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environmental Modelling & Software, 111. 394-408 doi:10.1016/j.envsoft.2018.09.017
Salazar, Elías, Giraldo, Ramón, Porcu, Emilio (2015) Spatial prediction for infinite-dimensional compositional data. Stochastic Environmental Research and Risk Assessment, 29 (7). 1737-1749 doi:10.1007/s00477-014-1010-4
 
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 16, 2025 14:07:21
Go to top of page